Job Openings

Professor position

Assist./ Assoc. Professor in 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.

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

 

 

Shared Mobility-on-Demand under Uncertainty

Location

Delft

Function types

Postdoc positions

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 3255 - € 4274

Education

Doctorate

Job number

3mE19-14

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/52829

PDF version here


Job description

Ride-sharing services are transforming urban mobility by providing timely and convenient transportation to anybody, anywhere, and anytime. These services present enormous potential for positive societal impacts with respect to pollution, energy consumption, congestion, etc. Yet, their full potential has not been reached and several challenges remain with regards to adaptability and predictability. In this project research will be conducted in dynamic vehicle routing methods (with ride-sharing) that are aimed at handling high uncertainty in travel time and demand, and that apply to heterogeneous vehicle fleets. The goal is to develop a novel algorithm for dynamic vehicle routing with a focus on large capacity vehicles (buses) and stochastic travel times. The project is in collaboration with Didi Udian Technologies (Shenzhen) and our algorithms could be evaluated in realistic scenarios and/or with a real vehicle fleet. Cross collaborations also exist with the Amsterdam Institute for Advanced Metropolitan Solutions, other researchers from the TU Delft Transportation Institute and research on multi-robot systems. For a glimpse of our research see http://www.alonsomora.com/res/res_ridesharing.html

Requirements
The candidate has (or is close to complete) a PhD degree in operations research, optimization, transportation, robotics, systems and control, applied mathematics, artificial intelligence, machine learning, computer science, or a related field. The candidate shall have strong analytical and mathematic skills (preferably in combinatorial optimization). 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. Conversational command of Chinese language will be beneficial, although not required. One or more trips to Shenzhen are expected.

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 1 or 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 3mE19-14. 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.

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.

 

 

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.

 

 

Interactive Imitation Learning

The Cognitive Robotics department at Delft University of Technology, The Netherlands, announce a vacancy for one

                                                          PhD student Interactive Imitation Learning

Job description
Programming and re-programming robots is extremely time-consuming and expensive, which presents a major bottleneck for new industrial, agricultural, care, and household robot applications. The goal of this project is to enable robots to learn how to perform manipulation tasks from few human demonstrations, based on novel interactive machine learning techniques. Robot learning will no longer rely on initial demonstrations only, but it will effectively use additional user feedback to continuously optimize the task performance. It will enable the user to directly perceive and correct undesirable behavior and to quickly guide the robot toward the target behavior. The PhD will explore various aspects of interactive imitation learning: robot-driven disambiguation, the robot actively testing possibilities, as well as user-driven corrections. The approaches will be evaluated with generic real-world robotic force-interaction tasks related to handling and (dis)assembly. The potential of the newly developed teaching framework will be demonstrated with challenging bi-manual tasks and a final study evaluating how well novice human operators can teach novel tasks to a robot.
The PhD position is in the context of the project “Teaching Robots Interactively” (TERI), funded by the European Research Council as ERC Starting Grant.

Requirements
The candidate has a very good MSc degree in systems and control, mechanical engineering, applied mathematics, artificial intelligence, machine learning, 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 and/or machine learning 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 www.tudelft.nl/phd for more information.

Specifications
Contract: Temporary, 4 years.
Hours: 38.0 - 40.0 hours per week
Salary: €2266 - €2897 per month gross

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
The faculty Mechanical, Maritime and Materials Engineering (3mE) 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. https://www.tudelft.nl/en/3me
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 Dr. Jens Kober, e-mail: J.Kober@tudelft.nl. Please do not send application emails here, but use the specified address below.
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 (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 3mE18-68. The call for applications will remain open until the ideal candidate is found. The earliest starting date is 1 February 2019.

Pdf version click here.

Academic transfer
https://www.academictransfer.com/50103/

Force-interaction and bi-manual control

The Cognitive Robotics department at Delft University of Technology, The Netherlands, announce a vacancy in the area of agro-food robotics for one PhD student

Force-interaction and bi-manual control

For pdf version click here

Job description

Force interactions with soft and deformable natural objects are hard to predict and to control. Next to a tight closed loop with visual and tactile perception, the robot controller needs a model of how the object is going to react in order to achieve fast and accurate interaction. The model needs to be adapted online, based on the interactions. We consider bi-manual manipulation, where the coupling between the two manipulators through the objects will require making the holding/fixating arm part of the model as well. Rather than manually designing the manipulation strategies, we will employ reinforcement learning (learning from experience) to optimize the controllers.

This vacancy is part of the FlexCRAFT program funded by the Netherlands Organization for Scientific Research (NWO). The goal of the program is to develop new robotics solutions for agriculture and food processing, where robots must be able to handle a substantial variation in shape, size and hardness of the different products, which is still a major challenge for the current robotics technology. The research aims at developing generic skills for robots to enable them to perform operations like automated harvesting of tomatoes, processing and packaging of meat and the packaging of bags of crisps and boxes of biscuits. The FlexCRAFT program builds on a unique consortium of universities and companies including: Wageningen Universiteit & Research, Eindhoven University of Technology, Delft University of Technology, University of Twente, University of Amsterdam, ABB, AgriFoodTech Platform, Aris BV, BluePrint Automation, Cellar Land, Cerescon, Demcon, Festo, GMV, Houdijk Holland, Marel Stork Poultry Processing, Maxon Motor, Priva, Protonic Holland, Rijk Zwaan, and 3DUniversum.

Requirements

The candidate has a very good MSc degree in systems and control, mechanical engineering, applied mathematics, artificial intelligence, machine learning, 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 and/or machine learning 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.


Specifications

Contract:                Temporary, 4 years
Hours:                    38.0 - 40.0 hours per week
Salary:                    €.2266 - €2.897 per month gross


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

The faculty Mechanical, Maritime and Materials Engineering (3mE) 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. https://www.tudelft.nl/en/3me

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. Robert Babuska, email: R.Babuska@tudelft.nl. Please do not send application emails here, but use the specified address below.

To apply, please prepare:

  • 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 3mE18-80. The call for applications will remain open until the ideal candidate is found. The earliest starting date is March 1st 2019.

More information about the position here.

Applications for this position will also be automatically considered for the second FlexCraft position “Imitation learning and inverse control”.

Imitation learning and inverse control

The Cognitive Robotics department at Delft University of Technology, The Netherlands, announce a vacancy in the area of agro-food robotics for one PhD student

Imitation learning and inverse control

For pdf version click here

Job description

The goal is to instruct robots by example how the task should be performed. We will rely on human demonstrations using skeleton tracking or motion capture rather than on kinesthetic demonstrations. The trajectories of the end-effector(s), as well as associated force and compliance parameters will be learned for individual sub-tasks. Direct mapping from human demonstrations to a robot is not always efficient due to different embodiments, hence we rather want to extract the priors and the general strategies for tasks as well as the objective functions. Instead of directly guiding the behavior of the robot, we can update the task specifications by estimating the intended user goal via an inverse control problem.

This vacancy is part of the FlexCRAFT program funded by the Netherlands Organization for Scientific Research (NWO). The goal of the program is to develop new robotics solutions for agriculture and food processing, where robots must be able to handle a substantial variation in shape, size and hardness of the different products, which is still a major challenge for the current robotics technology. The research aims at developing generic skills for robots to enable them to perform operations like automated harvesting of tomatoes, processing and packaging of meat and the packaging of bags of crisps and boxes of biscuits. The FlexCRAFT program builds on a unique consortium of universities and companies including: Wageningen Universiteit & Research, Eindhoven University of Technology, Delft University of Technology, University of Twente, University of Amsterdam, ABB, AgriFoodTech Platform, Aris BV, BluePrint Automation, Cellar Land, Cerescon, Demcon, Festo, GMV, Houdijk Holland, Marel Stork Poultry Processing, Maxon Motor, Priva, Protonic Holland, Rijk Zwaan, and 3DUniversum.

Requirements

The candidate has a very good MSc degree in systems and control, mechanical engineering, applied mathematics, artificial intelligence, machine learning, 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 and/or machine learning 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.

Specifications

Contract:                    Temporary, 4 years
Hours:                        38.0 - 40.0 hours per week
Salary:                        €.2266 - €.2897 per month gross

 

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

The faculty Mechanical, Maritime and Materials Engineering (3mE) 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. https://www.tudelft.nl/en/3me

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 Dr. Jens Kober, e-mail: J.Kober@tudelft.nl. Please do not send application emails here, but use the specified address below.

To apply, please prepare:

  • 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 3mE18-81. The call for applications will remain open until the ideal candidate is found. The earliest starting date is March 1st 2019.

More information about the position here.

Applications for this position will also be automatically considered for the second FlexCraft position “Force-interaction and bi-manual control”.

Multi-robot Motion Planning for Scene Understanding

Location

Delft

Scientific fields

Engineering

Hours

38.0 hours per week

Salary

€ 2325 - € 2972

Education

University Graduate

Job number

3mE19-13

Translations

en

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/52828

PDF version

here


Job description

Obtaining accurate and comprehensive information from a complex scene is one of the most important and relevant problems in robotics. Yet extremely challenging. When robots are deployed in dynamic environments, they need to be aware of their surroundings to discern friend from foe, or to separate important events that require their immediate attention from those secondary and non-essential. Our goal is to develop novel motion planning and coordination methods for distributed information gathering and high-level scene reasoning with a large team of heterogeneous robots equipped with limited sensing and communication capabilities.

This vacancy is part of the program “Distributed high-level scene reasoning with teams of heterogeneous robots”, which is funded by the Office of Naval Research Global (ONRG). Collaboration with our partners in the project, namely Prof. E. Montijano (U. Zaragoza), Prof. M. Schwager (Stanford) and Prof. D. Rus (MIT) is expected. Cross collaborations also exist with the Amsterdam Institute for Advanced Metropolitan Solutions and other researchers from the TU Delft Robotics Institute. For a glimpse of our research see http://www.alonsomora.com/research.html

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, disciplinerelated 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.

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. 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,
  • a complete record of Bachelor and Master courses (including grades),
  • our 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 3mE19-13. 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.

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.

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

Senior Electronics Engineer

Specificaties - (uitleg)

Locatie

Delft

Functietypes

Research, Development, Innovation, Technical, Laboratory positions

Wetenschappelijke discipline

Natural Sciences, Engineering

Uren

38,0 uren per week

Salaris

€ 2709 - € 4274

Werk-/denkniveau

University Graduate

Vacaturenummer

3mE19-11

Vertalingen

en 

About employer

Delft University of Technology (TU Delft)

Short link

www.academictransfer.com/45619

Apply here (no end date)
PDF version here


Job description
The Department of Cognitive Robotics is looking for an electronics engineer (BSc or Master), with extensive experience in design and programming of real-time embedded electronics.

You will be involved in the design, testing, and commercialisation of advanced ground and aerial robotic platforms for industry, inspection, agriculture, and transport including self-driving cars; more specifically, you will be responsible for:

·         Conceptual electronics design

·         Electronics development

·         Software development

·         Mechatronics design

You will support students, PhD students, post-docs and our scientific staff in their research and education. You will participate in research projects where you will offer technical advice, support, and supervision during the preparation, execution, and evaluation phases of the projects.

An important aspect is the supervision and care for a safe working environment.
We offer support in the form of workshop personnel and manufacturing facilities.

Requirements
Applicants should have the following qualifications:

·         Experience with embedded hardware design: Design of advanced electronics to control real-time robotic systems, including PCB design and layout (with ALTIUM or others), choice of and communication with components such as microcontrollers, sensors, and actuators.

·         Experience with design of digital and analogue electronics

·         Experience with embedded software for such devices, handling of time-critical systems, real-time behaviour, with and without operating systems (bare-metal programming)

·         Experience with design and integration of electronics with mechanical parts

·         Preferably experience with x86 & ARM architectures, (ATMEL) microcontrollers, C/C++-based programming, GNU toolchain, vendor-specific toolchains

Conditions of employment
The 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.

To apply, please e-mail a detailed CV and letter of application to I. Bruckner, application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-11.

Specifications
Temporary, 1 year initially, prospect of extension

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.

A main focus of the 3mE Faculty at the TU Delft is the development of intelligent robotic devices that will advance mobility, productivity, and quality of life. The Department  of Cognitive Robotics has the mission of bringing robotic solutions into human-inhabited environments. We combine fundamental research with work with physical demonstrators in areas such as self-driving vehicles, collaborative industrial robots, mobile manipulators, and haptic interfaces. 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. M. Wisse, phone: +31 (0)15-278-6834,
e-mail: M.Wisse@tudelft.nl.

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.