Job Openings

Professor position

Robot Motion Control and/or Autonomous Navigation

Faculty Mechanical, Maritime and Materials Engineering (3mE)
Department Cognitive Robotics
Level
PhD degree
Maximum employment
Maximum of 38 hours per week (1 FTE)
Duration of contract Tenure track or tenured
Salary Scale:
€3637-6738 per month gross
PDF version: click here


Job description
The opening within the Learning and Autonomous Control group is in the area of Robot motion control and/or autonomous navigation. Topics of interest include, but are not limited to machine learning for control, dexterous (mobile) manipulation and grasping, robot perception and motion planning. Excellent applicants from other areas of robotics will also be considered.

Candidates are expected to be, or be on their way to becoming, authorities in their own field of research, and to complement and enrich the existing research programs in the department. For the overall balance in the department, we especially welcome applications from female scientists. We expect you to:

  • Develop, conduct and supervise high-quality academic research in your field;
  • Teach general and specialized courses at undergraduate and post-graduate levels, and inspire students through teaching and post-graduate supervision;
  • Interact and collaborate with other researchers and specialists in academia and industry within multidisciplinary research projects;
  • Bridge the gap between theoretical knowledge and the development of new, innovative technologies;
  • Secure external funding for research projects;
  • Be an inspiring contribution to our staff.


Requirements

Applicants should have the following qualifications: 

  • PhD degree in Computer Science, Mechanical/Electrical Engineering, Applied Mathematics, Systems and Control, Artificial Intelligence or related disciplines. Experience in robotics and/or intelligent vehicle technology is an asset;
  • Strong analytical skills and ability/interest to work at the intersection of several research domains;
  • At least one year of research experience after the PhD, and experience outside the Netherlands;
  • Excellent track record in scientific research, as evident from papers in international and peer-reviewed journals;
  • High motivation for implementing your own vision within the interdisciplinary environment that CoR offers;
  • Team player with the ability to clearly communicate and eager to look for and exploit synergies CoR and its network provides.


Conditions of employment

At the start of the tenure-track you will be appointed as Assistant Professor for the duration of six years. Section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. For more information about the tenure track and the personal development programme, please visit www.tudelft.nl/tenuretrack.
Based on performance indicators agreed upon at the start of the appointment, a decision will be made at the end of the fifth year whether to offer you a permanent faculty position.
The salary for a Tenure Track (Assistant Professor) position is min. €3.637 to max. €5.656 per month gross.

For exceptionally strong candidates, a shortened tenure track period or Associate Professor position can be considered. For an Associate Professor position different terms of employment apply. Depending on background and experience, the salary can range from min. €5.039 to max. €6.738 per month gross. 

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners.
TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.


Employer

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

https://www.tudelft.nl


Department

Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty (Mechanical, Maritime and Materials Engineering) trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

Our mission at the department Cognitive Robotics is to bring robotic solutions to human-inhabited environments. At the Learning and Autonomous Control group we are looking for excellent candidates with a proven track record in scientific research, an innovative research vision, and a commitment to education for an Assistant Professor (tenure-track) or Associate Professor (tenured) position. Our group focuses on machine learning and autonomous navigation methods for robotics.

Strong collaborations exist within cross-faculty institutes (TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics), international industry and academia.


Additional information

For more information about this position, please contact Prof. Robert Babuska, e-mail: R.Babuska@tudelft.nl.

To apply, please send a detailed CV, motivation letter, a research and teaching statement, electronic copies of your top three publications and contact data of at least three references. All required documents should be combined to a single pdf file. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE18-78.
We will start to select candidates on February 15, 2019.

Motion Comfort of Automated Driving

Location

Delft

Function types

Hoogleraren, UHD’s, UD’s & lectoren, Onderzoek, Ontwikkeling, Innovatie

Scientific fields

Techniek

Hours

38.0 hours per week

Salary

€ 3637 - € 6738

Education

Gepromoveerd

Job number

3mE19-31

Translations

en

About employer

Technische Universiteit Delft (TU Delft)

Short link

www.academictransfer.com/54183  

Link to pdf here


Apply for this job only today


Job description
TU Delft, the Netherlands, invites applications for an Assistant/Associate Professor Position (tenure track) investigating human motion perception and motion comfort to develop new insights and models predicting comfort of automated driving.

Automated driving holds great promise to provide safe and sustainable transport. Passenger cars will soon achieve safety levels allowing users to take their eyes off the road, freeing up time for work or leisure activities. Surveys indicate that consumers are interested in reading and operating digital devices whilst using automation. These needs must be taken into account for the design of vehicle motion controllers and interiors. A particular concern is “self-driving car sickness”. Drivers rarely suffer from car sickness, but sickness is reported by two-thirds of passengers during eyes off road conditions. Hence, knowledge and models of motion comfort are urgently needed to achieve high comfort levels in automated driving.

A range of theories and models associate motion sickness with motion perception and posture maintenance. Due to a multitude of factors existing models fail to predict motion comfort in automated driving. Effects of 3D motion and the modulating role of vision are not sufficiently captured. The relation between motion comfort and posture maintenance sees little empirical support. Current knowledge focusses on severe (pre-)vomiting sickness rather than the targeted high comfort levels.

The candidate is expected to develop enhanced and new experimental methods, theories and models addressing the knowledgegaps identified above.

Experimental vehicles and moving base driving simulators will be used to systematically investigate perceived comfort as a function of vehicle motion, vision, non-driving task, and seating. Together with other researchers full body biomechanical models and motion perception models will be integrated to jointly predict body motion and comfort. Together with other researchers and partners the resulting insights and models will be used to design innovative control algorithms for automated vehicles.


We expect you to:

  • Develop, conduct and supervise high-quality academic research;
  • Inspire students through teaching and supervision;
  • Collaborate with specialists in academia and industry in multidisciplinary projects;
  • Transfer theory to innovative technology;
  • Secure external funding for research projects;
  • Be an inspiring contribution to our staff.


Requirements

Candidates are expected to be, or be on their way to becoming, authorities in their own field of research, and to complement and enrich the existing research programs in the department. For the overall balance in the department, we especially welcome applications from female scientists.

Applicants should have the following qualifications:

  • PhD degree in Mechanical Engineering, Neuroscience, Human Movement Sciences, or comparable studies and experience.
  • In particular we value experience in: Motion perception (vision, vestibular), Postural stabilization, Biomechanical testing (motion capture, EMG) and modelling, System identification & Frequency domain analysis, Automotive, Comfort, Human factors.
  • Strong analytical skills and ability/interest to work at the intersection of several research domains;
  • At least one year of research experience after the PhD, and experience outside the Netherlands;
  • Excellent track record in scientific research, as evident from papers in international and peer-reviewed journals.


Conditions of employment

At the start of the tenure-track you will be appointed as Assistant Professor for the duration of six years. The section leader, department leaders and you will agree upon expected performance and (soft) skills. You will receive formal feedback on performance and skills during annual assessment meetings and the mid-term evaluation. If the performance and skills are evaluated positively at the end of the tenure track, you will be appointed in a permanent Assistant Professor position.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. TU Delft sets specific standards for the English competency of the teaching staff. TU Delft offers training to improve English competency. Inspiring, excellent education is one of our central aims. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.


Contract type
: Tijdelijk, tenure track


Employer
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), and international industry and academia. For more information, see Cognitive Robotics (CoR) and Intelligent Vehicles (IV).


Additional information

For more information about this position, please contact dr R. Happee, Associate Professor, e-mail: r.happee@tudelft.nl, tel.: +31 1527883213. To apply, please send a detailed CV, motivation letter, a research and teaching statement, electronic copies of your top three publications and contact data of at least three references. All required documents should be combined to a single pdf file. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-31. We will start to select candidates on 1 June 2019.

Postdoc position

Meaningful Human Control of Autonomous Intelligent Systems

TU Delft AiTech Program seeks Postdoctoral Researchers on Meaningful Human Control of Autonomous Intelligent Systems

Delft University of Technology’s research program AiTech is recruiting eight fully funded postdoctoral research positions in the field of meaningful human control of autonomous intelligent systems. Such systems include artificial intelligence (AI) in software (e.g., for recommendation, decision support and optimization), as well as embodied AI (e.g., robots, vehicles and intelligent devices). We believe human control is key to counterbalance unforeseen and undesirable potential shortcomings of AI and robotics. AI should work in synergy with people towards economic and societal prosperity and wellbeing as well as the sustainable development of our planet. The mission of AiTech is to create technologies for managing future autonomous intelligent systems so that they can adhere to principles of transparency, accountability, ethical alignment and legal compliance.

We believe this challenge demands a multidisciplinary and team approach, bringing together researchers, engineers and designers in the field of computer science (AI), systems engineering, design for interaction, and ethics and technology. AiTech at its core is an inclusive, collaborative, multi-disciplinary program. The postdoctoral researchers will collectively work in a growing team, and be jointly supervised by professors at two faculties.

AiTech solicits postdoctoral project proposal applications that emphasize any combination of these domains and contribute to the realization of the mission of AiTech. Project can be – for instance, but not limited to – in the direction of the following topics:

  • Extend machine learning methods as so to be able to incorporate contextually dependent constraints such as ethical principles (fairness, unbiased) and legal (data protection) frameworks.
  • Develop key enabling design methodologies for unlocking the non-human forms of agency that are at work in technological practices informed by algorithmic logic, and creating more-than-human teams where human and artificial partners work together towards ethical and sustainable design outcomes.
  • Use an engineering and societal perspective to define what constitutes human control of AI and robotics, to develop methods and metrics that quantify human control, and to provide practical guidelines to design for human control
  • Develop theories and methods for abstracting explainable knowledge from machine learning results.

Your application should be submitted via the ‘apply now’ button. It should include a motivation letter, your CV, and a three-page description of your proposed project in AiTech that clearly indicates which multidisciplinary aspect of meaningful human control of autonomous intelligent systems you propose to research, what your approach will be, and how your background enables this approach.

The AiTech program was instigated by the Executive Board of Delft University of Technology. AiTech aims to build a community of pioneers, aiming at radical interdisciplinary research and societal impact in an engineering context.

In order to make the AiTech mission happen, we seek applications with a ‘can do attitude’. Applicants for the AiTech postdoctoral position have a (nearly) completed PhD degree in any (preferably combination) of the following disciplines: artificial intelligence, agent technology, data science, control engineering, interaction design, human-robot/data interaction, ethics of technology. Applicant should have a demonstrable affinity to work in an engineering context, and should have a keen interest in societal impact of autonomous intelligent systems.

Applications will be reviewed until positions are filled. For additional information, contact professor Inald Lagendijk at R.L.Lagendijk@tudelft.nl. Information about academic careers in the Netherlands and working at Delft University of Technology can be found at factcards.nl and working-at-tu-delft.

https://www.tudelft.nl/aitech/vacancies/

Apply now
Pdf version
of vacancy here

 

 

Multi-robot Motion Planning and Task Assignment

Location

Delft

Function types

Postdoc positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 3255 - € 4274

Education

Doctorate

Job number

3mE19-12

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/52827  

PDF version

here

 

Job description
Gradually maturing robotic technology will enable large-scale deployments of highly-automated systems for logistics. Fleets of autonomous mobile robots can be leveraged to make industrial intralogistics more flexible and more efficient and fleets of automated on-demand vehicles can disrupt urban commerce by providing last-mile deliveries faster and cheaper than what is possible using traditional delivery channels. In this project, we will develop methods that allow to make principled decisions about design parameters of large-scale multi-robot systems, and to control the vehicles in the system, such that the desired trade-off between the fleet composition, operation cost, and system performance is achieved. Our goal is to design a general and scalable method for multi-robot multi-task assignment and routing, which accounts for multiple objectives and uncertainties.

This project is supported in part by an Amazon Research Award “Predictive Multi-objective Fleet Routing and Assignment”. Cross collaborations also exist with the Amsterdam Institute for Advanced Metropolitan Solutions and other researchers from the TU Delft Robotics Institute and the TU Delft Transportation Institute. For a glimpse of our research see http://www.alonsomora.com/research.html

Requirements

The candidate has (or is close to complete) a PhD degree in robotics, systems and control, applied mathematics, optimization, artificial intelligence, machine learning, computer science, or a related field. The candidate shall have strong analytical and mathematic skills (preferably in motion planning or task assignment for multi-robot systems). Experience in machine learning is not required but it is beneficial. A very good command of the English language is required, as well as excellent communication skills and several publications in Q1 venues related to the field of research.

Conditions of employment

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. Contract duration 2 years.

Employer

You will be part of the Autonomous Multi-Robots Lab (https://www.alonsomora.com), within the Cognitive Robotics department. The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. http://www.cor.tudelft.nl/

Additional information
If you have specific questions about this position, please contact Prof. Javier Alonso-Mora, e-mail: J.AlonsoMora@tudelft.nl. Please do not send application emails here, but use the specified address below.

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate for this project,
  • a detailed CV with a complete publication list,
  • a copy of your top two publications,
  • the names and contact addresses of two or three references.


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-12. The review of applications will start on March 15th 2019 and continue until the position is filled. The starting date is negotiable. If you are interested in more than one position in the Autonomous Multi-robots Lab, please submit a single application and indicate that in your letter of motivation.

 

 

Biomechanics of seating in automated cars

Location

Delft

Function types

Postdoc positions

Scientific fields

Engineering

Hours

Max 38.0 hours per week, temporary

Education

Doctorate

Job number

3mE19-24

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

https://www.academictransfer.com/en/53656/postdocresearcher-biomechanics-of-seating-in-automated-cars/

PDF version here

 
Job description

TU Delft, the Netherlands, invites applications for a fully funded Research Position to investigate human seat interaction in the context of automated driving. The candidate will employ 3D body motion capture in moving-base driving simulators and experimental vehicles, to develop full body 3D neuromuscular control models predicting body motion and comfort.

Automated driving holds great promise to provide safe and sustainable transport. Passenger cars will soon achieve safety levels allowing users to take their eyes off the road, freeing up time for other activities. This calls for new vehicle interiors and seating configurations facilitating non-driving tasks. Novel insights and models of human postural stabilization will be essential to effectively design such interiors and seating systems.

APPROACH
Vehicle experiments will be performed to investigate differences in postural dynamics between active drivers anticipating vehicle motion, and users of automated vehicles performing non-driving tasks with their eyes off the road. Experiments will focus on lateral and anterior-posterior body stabilization in relation to steering, acceleration and braking.

A moving base driving simulator will be used for further systematic assessment including other motion directions and a wider frequency range.

Seat geometry and compliance will be varied aiming for designs minimizing postural effort and minimizing body and head motion to enhance motion comfort.

Existing biomechanical human body models and models of postural stabilization will be integrated, validated and enhanced. These models will integrate visual, vestibular, and muscle spindle feedback building upon available models and data on the neck, the lumbar spine and the full body.

Experiments and seat design studies will be jointly performed with a major car maker. Modelling of sensory integration and comfort assessment will be supported by other researchers.

We offer a 2 year full time position, starting between now and September 2019, with scope for tenure, where we expect an active contribution in grant proposal writing. 

Requirements

We are seeking a researcher with a strong interest in performing cutting-edge research in a very active and exciting research area.

Applicants shall have a MSc degree in Human Movement Sciences, Mechanical Engineering, or comparable studies. Applicants preferably have (or will soon obtain) a relevant PhD or have comparable experience evidenced by a solid publication record.

In particular we value experience in:

  • Biomechanical testing (motion capture, EMG)
  • Biomechanical modelling (multibody, FE, muscle modelling, MADYMO, LS-Dyna, OpenSim)
  • Postural stabilization
  • System identification
  • Frequency domain analysis
  • Automotive, Comfort, Human factors


Conditions of employment

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

Employer

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
Faculty Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. For more information, see Cognitive Robotics (CoR).
https://www.tudelft.nl/en/3me


Additional information

For more information about this position, please contact dr R. Happee, Associate Professor, e-mail: r.happee@tudelft.nl, tel.: +31 1527883213.

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate,
  • a detailed CV,
  • a complete record of Bachelor and Master courses (including grades),
  • the names and contact addresses of two references.

All these items should be combined in one PDF document. Applications should be submitted as soon as possible by email to Application-3mE@tudelft.nl. Interviews are ongoing until the position is filled. When applying for this position, please refer to vacancy number 3mE19-24 in the subject of the email.

Autonomous Robots and ROS-Industrial

Function types

Postdoc positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 3255 - € 4274

Education

Doctorate

Job number

3mE19-37

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/54593 

Link to PDF here


Job description
The TU Delft Robotics Institute of the Delft University of Technology, the Netherlands, announces a vacancy for a 1.5 years postdoc position on the topic of knowledge-based autonomous robots, in the context of the EU-H2020 project "ROSIN". Job description:

  • carry out research activities in the field of software engineering for robotics;
  • coordinate project related work, including our ROS MOOC;
  • contribution to research on self-adaptive control architectures, ontologies and symbolic reasoning;
  • dissemination of project results in leading journals and conferences;
  • contribution to ROS-Industrial activities in the lab;
  • supervision of student projects (MSc level).


You will be part of the Robot Dynamics unit, within the Cognitive Robotics department. The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of autonomous robots, machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute, our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia (ROS-Industrial consortium). www.cor.tudelft.nl/ 


Requirements
The ideal candidate for this position has a PhD degree in Robotics, Computer Science, Software Engineering or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains, including the following skills:

  • proficiency programming in C++/Python and Java;
  • experience with ROS or ROS2;
  • experience in knowledge representation, ontologies, model-driven software;
  • excellent written and verbal English skills are required.


Additionally (a plus):

  • software engineering skills and experience in model-driven environments, e.g. Eclipse EMF;
  • affinity and experience developing robotics software and integrating real robotic applications;
  • experience with mobile robots and the ROS navigation stack;
  • experience in self-adaptive software systems, product lines or dynamic architectures.


Conditions of employment

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.


Contract type:
Temporary, 18 months

Employer

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognized level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. For more information, see Cognitive Robotics (CoR). https://www.tudelft.nl/en/3me 

Additional information

For more information about this position, you can contact dr Carlos Hernandez, Assistant Professor, email: c.h.corbato@tudelft.nl.

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate for this project,
  • a detailed CV with a complete publication list,
  • a copy of your top two publications,
  • the names and contact addresses of two or three references.


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-37. The review of applications will start on June 15th 2019 and will continue until the position is filled.

PhD position

Efficient Deep Learning for Mapping and Localization of Intelligent Vehicles

For a pdf version, click here.

 

Location

Delft

Function types

PhD positions

Scientific fields

Engineering, Sciences

Hours

38.0 - 40.0 hours per week

Salary

€ 2222 - € 2840

Education

University Graduate

Job number

3mE18-44

Translations

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/48380

 

Job description
The Intelligent Vehicles group at the TU Delft is seeking a PhD candidate with an interest in performing cutting edge research in the active and exciting research area of self-driving vehicles, in collaboration with TomTom, a global leader in mapping and navigation products.

Currently, highly automated vehicles commonly rely on detailed 3D maps created with SLAM algorithms and LIDAR data for accurate self-localization. However, these representations do not scale, are sensitive to changes in the environment, are sensor specific, and also computationally intensive. TomTom’s research product RoadDNA takes an alternative approaches to represent the road environment more efficiently. However, it uses a hand-engineered representation, which is mainly target at highway environments sensed with LIDAR at a fixed compression rate.

This PhD will instead develop optimized representations for mapping and localization in complex urban environments by learning robust semantic feature representations through end-to-end weakly-supervised deep-learning. The novel methods can additionally support rough priors provided by GPS, structural priors from aerial imagery and existing map data, or even temporal context. A learned representation can thus focus on features which matter most in the local area, and henceforth reduce its size, and increase localization efficiency. Higher-level features are additionally more robust against environmental changes, and could be transferred between multi-modal sensor setups or multiple viewpoints.     

RequirementsProspective applicants should have a strong academic record in computer science, artificial intelligence or robotics with solid background in machine learning, probabilistic graphical models, computer vision and/or robot localization. Good software development and programming skills are expected, preferably in C++ and Python/MATLAB. Knowledge of deep-learning frameworks (Torch/TensorFlow/Caffe) and CUDA/OpenCV/ROS is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. All applicant(s) are expected to be able to act independently as well as to collaborate effectively with members of a larger team. Good English skills are required.

Research will be performed in collaboration with TomTom R&D, in Amsterdam, where the candidate is expected to work on average about 0,2 FTE.

Conditions of employmentTU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Contract type: Temporary, 4 years

Employer

Delft University of Technology

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department

Faculty Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. For more information, see https://www.tudelft.nl/en/3me/departments/cognitive-robotics-cor/.

Additional information

To apply, please prepare:

  • a letter of motivation explaining why you are the right candidate,

  • a detailed CV,

  • a complete record of Bachelor and Master courses (including grades),

  • your Master’s Thesis,

  • any publications, and a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), and the names and contact addresses of two references.

All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE18-44.

If you still have specific questions about this position, please contact dr J.F.P. (Julian) Kooij, e-mail: J.F.P.Kooij@tudelft.nl. Please do not send applications emails here, but use the specified address above.

 

 

Pedestrian/Cyclist Motion Prediction for Self-Driving Vehicles

Location

Delft

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-16

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/53022  

PDF version

here


Job description
The Intelligent Vehicles group at TU Delft (www.intelligent-vehicles.org) is seeking a PhD candidate with an interest in performing cutting edge research in the area of self-driving vehicles. This PhD position is part of the project “Safe interaction of automated vehicles with vulnerable road users” (SafeVRU). The project will develop sensing, intent recognition, and vehicle control strategies for the interaction of automated vehicles with vulnerable road users (VRU) such as pedestrians and cyclists. Several Dutch industry partners participate in this project (2getthere, TNO Automotive, NXP); beyond these, multiple collaborations with the European automotive industry exist.

The PhD position involves developing motion/behavior models for pedestrians/cyclists, that can accurately predict their future trajectories. These models are to be learned/parametrized using training data and will take into account sensor measurements (e.g. position, velocity, pose, gestures, and traffic environment) and prior knowledge (physical constraints, map data). A challenge is to deal with the uncertainty derived from imprecise sensor measurements and from highly maneuverable targets that can change their velocities abruptly (e.g. change of direction, start/stop walking). Several motion model types will be considered initially, based on explicit dynamics, trajectory learning and planning (agents). In particular, deep learning for motion prediction will be investigated.


Requirements
Applicants should have a strong academic record with a solid background in computation, sensor processing (e.g. computer vision), machine learning and AI. Good programming skills are expected, preferably in C++ and MATLAB/Python. Knowledge of deep-learning frameworks (TensorFlow/Torch/Caffe) and OpenCV/ROS/CUDA is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle demonstrator) is desired. Applicant(s) are expected to be able to act independently as well as to collaborate effectively with members of a larger team. Good English skills are required.


Conditions of employment

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information


Contract type

Temporary, 4 years

 
Employer

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.


Department
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. 

The Cognitive Robotics department within the 3mE Faculty aims to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. Its mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and interaction. The department combines fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. For more information, see Cognitive Robotics (CoR).

 Additional informationFor more information about this position, please contact Prof.dr. D.M. Gavrila, e-mail: D.M.Gavrila@tudelft.nl.

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate,
  • a detailed CV,
  • a complete record of Bachelor and Master courses (including grades),
  • a link to your Master’s Thesis (at least as draft),
  • any publications, and a list of projects you have worked on with brief descriptions of your contributions (max 2 pages),
  • the names and contact addresses of two references.


All these items should be combined in one PDF document. Applications should be submitted as soon as possible by email to Application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-16 in the subject of the email.

Automated-Vehicles-to-Human-Road-Users communication

Location

Delft

Function types

PhD positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-42

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/54796

Link to pdf

here

 
Job description

A bottleneck is that current automated vehicles (AVs) do not communicate to human road users (HRUs), making AV-HRU encounters inefficient and potentially accident-prone as compared to HRUs who fluently move in traffic through mutual communication of their states and intentions. Because AVs have excellent sensor and computational abilities, the opportunity arises to develop AV-to-HRU communication that not only emulates but also surpasses the information content of HRU-to-HRU communication.

As part of the NWO VIDI project, “How should automated vehicles communicate with other road users?”, you will devise effective AV-to-HRU communication methods. You will study how HRUs communicate with each other, and examine whether AVs’ gestures should be human-like (anthropomorphic) or nonhuman (mechanistic), and implicit (embedded in vehicle motion) or explicit (visual/auditory signs).

The tasks to be performed include computer simulations and robust empirical research (on-road experiments, virtual reality experiments, & surveys) to examine how HRUs currently communicate and how AVs should communicate.

You will work in a challenging international environment, with access to state-of-the-art lab facilities. You will participate in a multidisciplinary team with strong industrial and academic partnerships, and you will benefit from a collaborative research context.

Requirements
Applicants should have the following qualifications:

  • MSc degree in computer science or engineering, aerospace or mechanical engineering, artificial intelligence, robotics, or a related field, with a specialisation in human-machine interaction.
  • Experience or familiarity with human-subject research.
  • Embracement of open science principles and modern communication tools.
  • Ease with teamwork, willingness to attend conferences and scientific events, flexibility, and outreach in a multidisciplinary environment.
  • Excellent command of the English language.


Conditions of employment
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit http://www.tudelft.nl/phd for more information.

Contract type: Temporary, 4 years

Employer

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes to demonstrable economic and social benefits.

You will be part of the Cognitive Human-Robot Interaction Lab, within the Cognitive Robotics department. The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity, and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control, and physical interaction of intelligent machines with humans. We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators, and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics), and international industry and academia. http://www.cor.tudelft.nl 

Additional information

For more information about this position, please contact Dr.ir. Joost C.F. de Winter (j.c.f.dewinter@tudelft.nl). For more information about the conditions of employment, please contact Irina Bruckner, HR advisor (application-3mE@tudelft.nl).

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate for this project
  • a CV with a grade list
  • names and contact data of two references to be contacted


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-42. The review of applications will start on 1 June 2019 and continue until the position is filled. The starting date is negotiable.

Mobile manipulation in dynamic environments

Location

Delft

Function types

PhD positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-38

Translations

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/54707

 Link to pdf

 here


Job description

PhD1: Mobile manipulation in dynamic environments
In the future warehouses and stores, mobile manipulators will perform complex tasks in environments shared with humans. Traditionally task scheduling and manipulation have been decoupled from motion planning. Yet, when robots navigate in critical and dynamic environments, plans may have to be adapted online to take into account congestion, interaction with other robots and human co-workers/customers and interaction with the objects being manipulated. You will devise methods for motion planning that schedule plans for the robots and adapt them online taking into account the priority of tasks, their associated uncertainty and the preferences and needs of human co-workers or customers (e.g., the robot may push a trolley to the side to let a customer pass or modify its position to continue performing its task without causing any inconvenience to the customer). The goal is to have an integrated approach for motion planning in uncertain and dynamic environments, which accounts for complex manipulation, navigation and coordination tasks, and that provides performance guarantees (in expectation). 

Research Approach:

  • Global planning: Sampling-based path planning with guarantees
  • Local planning and manipulation: Real-time nonlinear constrained optimization
  • Machine learning for models of human/customer behavior
  • Learning preferences/cost function for areas to traverse


This PhD position is part of a larger research effort to study AI and Robotics for retail (supermarkets, distribution centres, online retail and supply chain) at the Delft University of Technology, see https://icai.ai/airlab-delft/). Together with Ahold Delhaize -a multinational retail organization with brands such as Albert Heijn, Delhaize, Bol.com, Etos, Gall&Gall, Stop & Shop- and the Dutch Innovation Center for AI, the TUDelft, has started a joint research lab to join the best of academic and industrial research. The lab focuses on fundamental research in artificial intelligence and robotics for retail. The lab will host 5 PhD positions and research assistants. It is led by Prof. Martijn Wisse, and has principal investigators per domain. One of the perks this industry collaboration program is the possibility  for scientists to conduct both foundational research and test or pilot ideas in an applied context.

In Delft, we currently have three vacant PhD positions, namely:

·         PhD1: Mobile manipulation in dynamic environments

·         PhD2: Self-adaptive robot architectures for reliable, safe and explainable autonomous behaviour

·         PhD3: Predictive Vehicle Routing for On-demand Logistics

If you are interested in multiple positions, please apply only to the one that interests you the most and mention in your motivation letter your interest in multiple positions. You will be automatically considered for those positions. 

Requirements
The candidate has a very good MSc degree in robotics, systems and control, applied mathematics, artificial intelligence, machine learning, mechanical/electrical engineering, computer science, or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. A very good command of the English language is required, as well as excellent communication skills. Candidates having exhibited their ability to perform research in robotics, or in probabilistic planning and decision-making, are especially encouraged to apply.

Conditions of employment
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline related and research skills. Please visit http://www.tudelft.nl/phd for more information.

Contract type: Temporary, 4 years

Employer
Delft University of Technology
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department

Faculty Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. 

You will be part of the Cognitive Robotics department. The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans.

We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. http://www.cor.tudelft.nl/

Additional information
If you have specific questions about this position, please contact assistant professor Dr. Javier Alonso-Mora, e-mail: j.alonsomora@tudelft.nl, web: http://www.alonsomora.com.  Please do not send application emails here, but use the specified address below. 

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate for this project,
  • a detailed CV,
  • a complete record of Bachelor and Master courses (including grades),
  • your Master’s Thesis (at least as draft),
  • any publications, and a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), and
  • the names and contact addresses of two or three references.


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-38. The review of applications will start on June 15th 2019 and continue until the position is filled. The starting date is flexible, preferably near August 2019. If you are interested in more than one position in the AIRlab Delft program, please submit a single application to your preferred position and indicate that in your letter of motivation. You will then be considered for all selected positions.

Self-adaptive robot architectures for reliable, safe and explainable autonomous behaviour

Location

Delft

Function types

PhD positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-39

Translations

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/54706

 Link to pdf

 here

Job description

PhD2: Self-adaptive robot architectures for reliable, safe and explainable autonomous behaviour
Complex dynamic environments warrant complex, multi-facetted robot software control architectures. The heterogeneity of components and multitude of interactions (internal and external) makes static, hand-crafted software architectures prone to failure. In this project, you will explore Model-Based Systems Engineering methods to capture the robot control architecture, its mission and its non-functional requirements (safety, reliability) @design-time, and then research symbolic reasoning and ontologies for the robot to adapt its control architecture @runtime. The architectural self-adaptation allows online software reconfiguration to overcome component-failures, unexpected environment changes and varying mission requirements. This mission-driven adaptability will lead to highly reliable and safe autonomous behaviour. The use of symbolic reasoning at the architectural level will enable explainable autonomous control. 

Research Approach:

  • Mission and non-functional requirements (reliability, safety): Model-Based Systems Engineering methods (SysML)
  • Self-adaptation @runtime: Ontologies and symbolic reasoning methods
  • Software platform: ROS2


This PhD position is part of a larger research effort to study AI and Robotics for retail (supermarkets, distribution centres, online retail and supply chain) at the Delft University of Technology, see https://icai.ai/airlab-delft/). Together with Ahold Delhaize -a multinational retail organization with brands such as Albert Heijn, Delhaize, Bol.com, Etos, Gall&Gall, Stop & Shop- and the Dutch Innovation Center for AI, the TUDelft, has started a joint research lab to join the best of academic and industrial research. The lab focuses on fundamental research in artificial intelligence and robotics for retail. The lab will host 5 PhD positions and research assistants. It is led by Prof. Martijn Wisse, and has principal investigators per domain. One of the perks this industry collaboration program is the possibility  for scientists to conduct both foundational research and test or pilot ideas in an applied context. 

In Delft, we currently have three vacant PhD positions, namely:

  1.  PhD1: Mobile manipulation in dynamic environments
  2. PhD2: Self-adaptive robot architectures for reliable, safe and explainable autonomous behaviour
  3. PhD3: Predictive Vehicle Routing for On-demand Logistics


If you are interested in multiple positions, please apply only to the one that interests you the most and mention in your motivation letter your interest in multiple positions. You will be automatically considered for those positions.

Requirements
The candidate has a very good MSc degree in robotics, systems and control, applied mathematics, artificial intelligence, machine learning, mechanical/electrical engineering, computer science, or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. A very good command of the English language is required, as well as excellent communication skills. Candidates having exhibited their ability to perform research in robotics, or in probabilistic planning and decision-making, are especially encouraged to apply.

Conditions of employment
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline related and research skills. Please visit http://www.tudelft.nl/phd for more information.

Contract type: Temporary, 4 years

Employer
Delft University of Technology
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. 

You will be part of the Cognitive Robotics department . The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans.

We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. http://www.cor.tudelft.nl/

Additional information
If you have specific questions about this position, please contact Prof. Martijn Wisse, e-mail: m.wisse@tudelft.nl. Please do not send application emails here, but use the specified address below.

To apply, please submit:

  • a letter of motivation explaining why you are the right candidate for this project
  • a detailed CV
  • a complete record of Bachelor and Master courses (including grades)
  • your Master’s Thesis (at least as draft)
  • any publications, and a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), and
  • the names and contact addresses of two or three references.


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-39. The review of applications will start on June 15th 2019 and continue until the position is filled. The starting date is flexible, preferably near August 2019. If you are interested in more than one position in the AIRlab Delft program, please submit a single application to your preferred position and indicate that in your letter of motivation. You will then be considered for all selected positions.

Predictive Vehicle Routing for On-demand Logistics

Location

Delft

Function types

PhD positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

Doctorate

Job number

3mE19-40

Translations

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/54708

 PDF version

 here


Job description

PhD3: Predictive Vehicle Routing for On-demand Logistics
Gradually, maturing robotic technology will enable large-scale deployments of highly-automated systems for logistics. Fleets of autonomous mobile robots can be leveraged to make industrial intralogistics more flexible and more efficient and fleets of automated on-demand vehicles can disrupt urban commerce by providing last-mile deliveries faster and cheaper than what is possible using traditional delivery channels. To fully realize the benefits of such large-scale multi-robot systems, novel analytical and control techniques are needed. In this project, you will research methods that allow to make principled decisions about design parameters of such systems, and to control vehicles in the system, such that the desired trade-off between the fleet composition, operation cost, and system performance is achieved.

Research Approach:

  • You will employ tools from combinatorial optimization to design dynamic vehicle routing methods for multiple vehicles (potentially autonomous and of different types) and tasks. The methods will include rebalancing of vehicles.
  • You will develop machine learning tools to model and address the stochasticity in the system, e.g. in travel time or prediction of tasks.
  • You will use as case study a large Dutch retailer.


This PhD position is part of a larger research effort to study AI and Robotics for retail (supermarkets, distribution centres, online retail and supply chain) at the Delft University of Technology, see https://icai.ai/airlab-delft/). Together with Ahold Delhaize -a multinational retail organization with brands such as Albert Heijn, Delhaize, Bol.com, Etos, Gall&Gall, Stop & Shop- and the Dutch Innovation Center for AI, the TUDelft, has started a joint research lab to join the best of academic and industrial research. The lab focuses on fundamental research in artificial intelligence and robotics for retail. The lab will host 5 PhD positions and research assistants. It is led by Prof. Martijn Wisse, and has principal investigators per domain. One of the perks this industry collaboration program is the possibility  for scientists to conduct both foundational research and test or pilot ideas in an applied context.

In Delft, we currently have three vacant PhD positions, namely:

  1. PhD1: Mobile manipulation in dynamic environments
  2. PhD2: Self-adaptive robot architectures for reliable, safe and explainable autonomous behaviour
  3. PhD3: Predictive Vehicle Routing for On-demand Logistics


If you are interested in multiple positions, please apply only to the one that interests you the most and mention in your motivation letter your interest in multiple positions. You will be automatically considered for those positions.

Requirements
The candidate has a very good MSc degree (or is about to complete it) in applied mathematics, transportation, artificial intelligence, machine learning, computer science, systems & control or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. A very good command of the English language is required, as well as excellent communication skills. Candidates having exhibited their ability to perform research in vehicle routing problems or combinatorial optimization, are especially encouraged to apply.

Conditions of employment
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline related and research skills. Please visit http://www.tudelft.nl/phd for more information.

Employer
Delft University of Technology
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department
Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. 

You will be part of the Cognitive Robotics department . The main focus of the Cognitive Robotics department is the development of intelligent robots and vehicles that will advance mobility, productivity and quality of life. Our mission is to bring robotic solutions to human-inhabited environments, focusing on research in the areas of machine perception, motion planning and control, machine learning, automatic control and physical interaction of intelligent machines with humans.

We combine fundamental research with work on physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators and haptic interfaces. Strong collaborations exist with cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute), our national robotic ecosystem (RoboValley, Holland Robotics) and international industry and academia. http://www.cor.tudelft.nl/   

Additional information
If you have specific questions about this position, please contact assistant professor Dr. Javier Alonso-Mora, e-mail: j.alonsomora@tudelft.nl, web: http://www.alonsomora.com.  Please do not send application emails here, but use the specified address below. 

To apply, please submit:

  • a  letter of motivation explaining why you are the right candidate for this project
  • a detailed CV
  • a complete record of Bachelor and Master courses (including grades)
  • your Master’s Thesis (at least as draft)
  • any publications, and a list of projects you have worked on with brief descriptions of your contributions (max 2 pages), and
  • the names and contact addresses of two or three references.


All these items should be combined in one PDF document. Applications should be submitted by email at the earliest convenience to application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-40. The review of applications will start on June 15th 2019 and continue until the position is filled. The starting date is flexible, preferably near August 2019. If you are interested in more than one position in the AIRlab Delft program, please submit a single application to your preferred position and indicate that in your letter of motivation. You will then be considered for all selected positions.

Research, Development, Innovation, Technical, Laboratory, IT positions

Software Engineer ROS(-Industrial) group Robotics Institute TU Delft

Location

Delft

Function types

Research, Development, Innovation, Technical, Laboratory positions, IT

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2579 - € 3445

Job number

3mE19-17

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/53090

PDF

here

Apply here


Job description

The department of Cognitive Robotics within the Delft University of Technology, the Netherlands, is looking for candidates for a ROS-developer position within the context of the EU project “agROBOfood”.

Our goal with this project is to further the state of the art of agriculture robotics by helping partners and (startup) companies to make maximal use of the available ROS software, and to further develop ROS components or applications that are specifically needed for agriculture applications.

Your tasks include:

  • day-to-day agROBOfood project management
  • various ROS development and implementation activities on-site at the participating European SME’s
  • strong contribution to the ROS-I community, e.g. contributing to “ROS-Answers”
  • contribution to ongoing research projects within our department “Cognitive Robotics”
  • contribution to ROS applications for SME’s through our RoboHouse research centre
  • contribution to ROS applications in our Smart Advanced Manufacturing (eXtra Large) research centre for composite production automation.


Requirements
The ideal candidate for this position has an MSc degree in Robotics, Computer Science, Computer Engineering or a related field. The candidate must have strong analytical skills and must be able to work at the intersection of several research domains. Additionally, important characteristics of a successful candidate are:

  • communication skills (with business owners and technical employees of SMEs)
  • experience with software quality and testing approaches
  • programming experience: C++, Python
  • experience with ROS
  • affinity with industrial robotics and automation
  • excellent written and verbal English skills.


Conditions of employment

We offer the opportunity to do technically challenging research and development in a multi-disciplinary research group and together with interesting industrial partners. The appointment will be for a period of 1 year, with possibility of extension to 3 years. As an employee of the university you will receive a competitive salary, as well as excellent secondary benefits in accordance with the Collective Agreement (CAO) of the Association of Universities in the Netherlands (VSNU). Assistance with accommodation can be arranged.

Temporary, 1 year, possible extension to 3 years


Employer

Faculty Mechanical, Maritime and Materials Engineering
Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.


Department

Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits. 

The department of Cognitive Robotics is part of the Faculty of 3mE, which trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. The department of Cognitive Robotics is also one of the core groups of the TU Delft Robotics Institute, which is a quickly growing interdepartmental organization with over 150 robotics-oriented researchers from 6 departments ranging from Computer Science to Industrial Design Engineering.
More information at robotics.tudelft.nl.


Additional information

Please make sure to investigate the “ROS-Industrial” community before applying. Submit your application to Prof. Martijn Wisse (m.wisse@tudelft.nl) before 30 May 2019. Include a cover letter along with a detailed curriculum vitae. Prof. Wisse can also be contacted for more information about this vacancy.