Postdoc Road User Motion Prediction for Self-Driving Vehicles

Postdoc Road User Motion Prediction for Self-Driving Vehicles

Published Deadline Location
31 Aug 30 Sep Delft

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Job description

The Intelligent Vehicles (IV) group at TU Delft aims to increase the safety, comfort and sustainability of transportation by means of automated driving. The group conducts problem-driven research within the interdisciplinary spectrum of machine perception, dynamics and control, and human factors. The focus lies on complex (urban) traffic scenarios, on challenging vehicle driving manoeuvres and on the interaction of self-driving vehicles with humans.

The IV group seeks a highly qualified Post-Doctoral Scientist with an interest in performing cutting edge research in the area of interaction modeling and road user motion prediction for self-driving vehicles. Vulnerable Road Users (i.e. pedestrians, cyclists and other riders) are of special interest. This position is part of an ongoing EU project EVENTS (ReliablE in-Vehicle pErception and decisioN-making in complex environmenTal conditionS) involving several partners from the automotive industry and from research institutions across Europe.

More info on: YouTube IntelligentVehicles at TUDelft.

The Department

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.


Delft University of Technology (TU Delft)


Applicants should have (or soon expect) a Ph.D. degree in a relevant discipline (e.g. Computer Science, Electrical/Mechanical Engineering, Artificial Intelligence, Robotics). They should have a strong academic record with a solid background in machine perception, machine learning and AI. Good programming skills are expected, preferably in Python and/or C++. Knowledge of deep-learning frameworks (e.g. PyTorch, TensorFlow, Keras) and OpenCV/ROS/CUDA is a plus. A certain affinity towards turning complex concepts into real-world practice (i.e. vehicle prototype) is desired. Applicants are expected to be able to act independently as well as to collaborate effectively with members of a larger team (e.g. supervision of M.S. and Ph.D. students). Good English skills are required.

Conditions of employment

Fixed-term contract: 24 months.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: € 4.036 - € 5.090  per month gross). The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

Living conditions in the Netherlands (e.g. Delft, Hague, Amsterdam) are considered to be among the very best in Europe. The TU Delft scores consistently high in international comparisons (e.g. within top 15 in QS World Univ. Rankings 2023 in Engineering & Technology)

This postdoc position has a fixed-term contract of 24 months.


Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!


Faculty Mechanical, Maritime and Materials Engineering

From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the 3mE faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

3mE is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in 3mE’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical, Maritime and Materials Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.


  • Postdoc
  • Engineering
  • 36—40 hours per week
  • Doctorate
  • TUD04340


Delft University of Technology (TU Delft)

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