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 Perception and Comfort in 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.

Anthropomorphic Human-Robot Interaction

Location

Delft

Function types

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

Scientific fields

Techniek

Hours

38.0 hours per week

Salary

€ 3637 - € 5656

Education

Gepromoveerd

Job number

3mE19-47

Translations

en 

About employer

Technische Universiteit Delft (TU Delft)

Short link

www.academictransfer.com/54986

 PDF version

 here


Apply for this job only today

Job description
The department of Cognitive Robotics invites applications for an Assistant Professor position (tenure track) investigating anthropomorphic human-robot interaction.
 
Robots and humans will increasingly intermingle in open and complex domains, such as traffic, domestic, agricultural, and work environments. We need to engineer robots that can be intuitively understood, corrected, taught, or safely taken over by humans. Future robots, such as autonomous cars and household robots, may have to behave in a human-like manner or have human-like features, in order to create a safe and acceptable interaction. 

The candidate is expected to study whether human-robot communication is enhanced if robots are anthropomorphized. The scientific questions concern whether robots should look, move, and behave like humans, how such behavior can be quantitatively modelled and embedded into the machine, and how to establish a dialogue between the robot and the human taking into account human’s cognitive and physiological state. 

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 field of research, and to complement and enrich the existing research programs in the department.
Applicants should have the following qualifications:

  • PhD degree in computer science or engineering, aerospace or mechanical engineering, artificial intelligence, robotics, or a related field, with a specialization in human-machine interaction.
  • Embracement of open science principles and modern communication tools.
  • Strong analytical skills and ability/interest to work at the intersection of several research domains.
  • Experience or familiarity with human-subject research.
  • 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 EmployerDelft University of TechnologyDelft 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.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 the cross-faculty institutes TU Delft Robotics Institute and TU Delft Transport Institute, our national robotic ecosystem (RoboValley, Holland Robotics), and international industry and academia. www.cor.tudelft.nl/Additional informationFor 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 detailed CV
  • a motivation letter
  • a research and teaching statement
  • names and contact data of at least 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 3mE19-47. For the overall balance in the department, we especially welcome  applications from female scientists.

The review of applications will start on 15 June 2019 and continue until the position is filled. The starting date is negotiable.

Data Fusion for Intelligent Vehicles

Locatie

Delft

Functietypes

Professors, associate professors, assistant professors and lecturers, Research, Development, Innovation

Wetenschappelijke discipline

Engineering

Uren

38,0 uren per week

Salaris

€ 3545 - € 6567

Werk-/denkniveau

Doctorate

Vacaturenummer

3mE19-57

Vertalingen

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/55446

PDF version here


APPLY TODAY!

Job description
The Cognitive Robotics department at TU Delft seeks to fill a faculty position in the area of data fusion for intelligent vehicles at the level of Assistant (tenure-track) or Associate Professor (tenured). The position covers multi-modal sensor processing (e.g. vision, radar, LiDAR, GNSS/INS) for on-board environment perception and localization/mapping, in complex and dynamic environments (e.g. urban traffic). Specific topics of interest include:

  • Object detection (position, pose and shape estimation)
  • Environment representation (e.g. sensor-level, grid-level, object-level)
  • Multi-target tracking
  • Simultaneous localization and mapping (SLAM)
  • Distributed sensing
  • Life-long mapping of large scale environments
  • Statistical methods and machine learning incl. deep learning
  • Heterogeneous and temporal data fusion.


Requirements
Applicants should have the following qualifications:

  • PhD degree in Computer Science, Artificial Intelligence, Electrical/Mechanical Engineering, or related discipline. Experience in robotics and/or intelligent vehicles is an asset
  • Experience as a Post-Doc/Assistant Professor
  • Excellent track record in scientific research, as evident from publications in top-tier conferences and journals
  • Proven ability to provide inspiring teaching at both undergraduate and graduate levels (in English)
  • High motivation to pursue and establish an own research direction within an interdisciplinary environment
  • Organizational and managerial skills to interact and cooperate effectively with staff and other research institutes and organizations, including industry  
  • Experience in the acquisition of external funding.


Conditions of employment
A tenure track position is offered for a maximum of six years. Tenure Track is a process leading up to a permanent appointment with the prospect of becoming an Associate Professor. During the Tenure Track, you will have the opportunity to develop into an internationally acknowledged and recognized academic. To support that, we offer a structured career and personal development program, which accounts for individual needs and preferences. For more information about the tenure track and the personal development program, 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. €3.545 to max. €5.513 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. €4.911 to max. €6.567 per month gross. All salaries mentioned are based on full time contracts.

The TU Delft offers a customizable 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. The TU Delft offers trainings to improve English and Dutch language competencies.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

TU Delft creates equal opportunities and encourages women to apply.

Employment: Temporary, Tenure track, permanent

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.

Faculty & Department
Faculty Mechanical, Maritime and Materials Engineering
The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in ground breaking 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 has the mission to develop intelligent robots and vehicles that will advance mobility, productivity and quality of life. 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. Of special interest are robotic solutions for complex, human-inhabited environments. Collaborations exist with cross-faculty institutes (TU Delft Robotics Institute and TU Delft Transport Institute), the national robotic ecosystem (RoboValley, Holland Robotics) and international academia and industry. 

The faculty opening is within the Intelligent Vehicles group; it focuses on methods for environment perception, dynamics and control and human factors in the context of automated driving.
For more information, see Cognitive Robotics (CoR) and Intelligent Vehicles.

Information and application
For more information about this position, please contact  Prof. D.M. Gavrila (e-mail: d.m.gavrila@tudelft.nl).

To apply, please submit (in one single pdf file):

  • a motivation letter,
  • a detailed CV,
  • a research and teaching statement,
  • electronic copies of your top three publications, and
  • contact data of three references. 

Applications should be submitted to Application-3mE@tudelft.nl, referring to vacancy number 3mE19-57 in the subject of the email. Application deadline is 15 October 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

 

Knowledge-based Self-adaptive ROS2 architectures

Knowledge-based Self-adaptive ROS2 architectures

The TU Delft Robotics Institute of the Delft University of Technology, the Netherlands, announces a vacancy for a 1 year postdoc position on the topic of knowledge-based self-adaptive ROS2 architectures for autonomous robots, in the context of the MROS project (supported by the H2020 project RobMoSys robmosys.eu/).

Job description
Research the integration of self-reconfiguration mechanisms based on ontological reasoning for ROS2 robot architectures, in the context of the RobMoSys model-driven approach;

  • Coordinate project related work, attend meetings and reporting;
  • Dissemination of project results in leading journals and conferences;
  • Contribution to our research on symbolic reasoning and self-adaptive architectures for autonomous robots;


You will be part of the Robot Dynamics unit, within the Cognitive Robotics department, and will have the opportunity to work in an exciting and innovation environment, in close collaboration with our researchers and PhD students.

Requirements
The ideal candidate for this position has a PhD degree in Computer Science, Software Engineering, Robotics 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;

  • expertise in symbolic reasoning, knowledge representation and ontologies;

  • familiarity with ROS;

  • excellent written and verbal English skills are required.


Additionally (a plus):

  • experience in self-adaptive software systems, product lines or dynamic architectures;

  • software engineering skills and experience with the Eclipse framework;

  • experience in ROS2;

  • experience with mobile robots and the ROS navigation stack.


Conditions of employment

Fixed-term contract: 1 year.

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
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 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). For more information, see Cognitive Robotics (CoR).  www.cor.tudelft.nl

Additional information

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

To apply, click here.

 

 

PhD position

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. 

Perceived safety and trust in automated vehicles

Location

Delft

Function types

PhD positions, Research, Development, Innovation

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-52

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/55345

PDF version here


Job description

TU Delft, the Netherlands, invites applications for a fully funded PhD position in the European project “SHAPE-IT: Supporting the interaction of Humans and Automated vehicles”. SHAPE-IT is recruiting 15 PhD candidates in Sweden, the Netherlands, UK, and Germany, collaborating through internships and joint training. SHAPE-IT is funded by a European Commission Horizon 2020 program for research and innovation: Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN).

Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes of integrating automation in transport have been primarily technology-focussed, with insufficient consideration to how humans will interact with automated vehicles (AVs).

SHAPE-IT aims to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, studying and modelling human behaviour to design advanced interfaces and control strategies.

This PhD candidate (ESR12) will develop models to predict perceived safety and trust in vehicle automation. The models will capture different levels of driver involvement, driving speeds, interaction with other road users, and infrastructure characteristics. Driving simulator and on-road experiments will be performed to systematically evaluate trust and perceived safety, in order to obtain the model parameters. Furthermore, he or she will investigate how trust and perceived safety can be enhanced by adapting the automated driving style and by informing occupants about the current and anticipated actions of the automated vehicle.

Requirements
We are looking for candidates with a MSc in Mechanical Engineering or related fields, with a focus on system dynamics and statistics, and an interest in human perception.

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
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.

Additional information
For more information about this position, please contact dr R. Happee, Associate Professor, e-mail: r.happee@tudelft.nl, tel.: +31 1527883213, or dr M. Wang, Assistant Professor, email:m.wang@tudelft.nl, tel: +31 152784030.

To apply, please submit a letter of motivation and your resume by email to application-3mE@tudelft.nl. Interviews are ongoing until the position is filled (rapid application is recommended).When applying for this position, please refer to vacancy number 3mE19-52 in the subject of the email.

Virtual reality assessment of pedestrian and cyclist interaction with automated vehicles

Location

Delft

Function types

PhD positions, Research, Development, Innovation

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-53

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/55348

Link to PDF here

 

Job description
TU Delft, the Netherlands, invites applications for a fully funded PhD position in the European project “SHAPE-IT: Supporting the interaction of Humans and Automated vehicles”. SHAPE-IT is recruiting 15 PhD candidates in Sweden, the Netherlands, UK, and Germany, collaborating through internships and joint training. SHAPE-IT is funded by a European Commission Horizon 2020 program for research and innovation: Marie Skłodowska-Curie Action (MSCA) Innovative Training Network (ITN).

Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes of integrating automation in transport have been primarily technology-focussed, with insufficient consideration to how humans will interact with automated vehicles (AVs).

SHAPE-IT aims to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, studying and modelling human behaviour to design advanced interfaces and control strategies.

This PhD candidate (ESR09) will develop virtual reality (VR) and augmented reality (AR) methods to investigate the interaction between automated vehicles (AVs) and vulnerable road users (VRUs). Validity will be evaluated by comparing behaviour and perception in VR/AR to interactions with experimental vehicles. He or she will develop and test, in VR, external HMIs (eHMI) that inform the VRU about the AV’s intentions. Accordingly, the candidate will advance knowledge about AV-VRU interaction on topics such as safety, expectancy, acceptance, and trust.

Requirements
We are looking for candidates with a MSc in Mechanical Engineering or related fields, and having a strong interest in human factors and virtual reality. Candidates cannot hold a doctorate degree, and should be within 4 years of obtaining their MSc qualification. Candidates are expected to undertake transnational mobility (i.e. move from one country to another). Hence, candidates can only apply for positions in countries where they have stayed less than 12 months during the last 3 years.

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.

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 and your resume by email to application-3mE@tudelft.nl. Interviews are ongoing until the position is filled (rapid application is recommended). When applying for this position, please refer to vacancy number 3mE19-53 in the subject of the email.