PhD Position Discovering the Mechanisms that Cause Bicycle Crashes Through The Merger of Video and Computational Modeling

Research / Academic

We are seeking a PhD researcher for a 4-year contract to develop simulation and data analysis tools that lead us to understanding the mechanisms at play in bicycle and other two-wheeler crashes. You will work primarily with video data and computational neuromuscular models to develop the next generation of predictive algorithms that connect human control to bicycle crash dynamics.
Your project is partially supported by the OpenSim Creator: Empowering Biomedical Research with Biomechanical Models grant funded by the Chan-Zuckerberg Foundation’s “Essential Open Source Software for Science" program. The software developed during the research will be contributed to OpenSim as open source software and the research results will be submitted to appropriate scientific journals and conferences.
You will simultaneously work as a member of the Computational Biomechanics Lab and the Bicycle Lab both part of the BioMechanical Engineering Department. You will be supervised by Dr. Jason K. Moore and Dr. Ajay Seth. You will work BSc, MSc, and PhD candidates in the involved research groups from the BioMechanical Engineering Department and other departments in the university.
Opportunities for growing your academic career will be available, such as mentoring BSc/MSc Students, conference presentations, networking, and teaching.


You should have:

  • MSc in engineering or similar discipline by the start date of the position
  • Experience with simulation
  • Experience with a programming language (e.g., C++, Python, Java, Matlab, etc.)
  • Experience with collecting experimental data (vehicle, biomechanic, video, or similar)
  • Good written and oral communication skills in English

The following aspects will help you stand out:

  • Thriving in multidisciplinary environments
  • Self-motivation
  • Curiosity-driven working attitude
  • Knowledge of biomechanical modeling, vision based motion capture, machine learning, control systems

Keep in mind that this describes the background we imagine would best fit the role. Even if you do not meet all the requirements and feel that you are up for the task, we absolutely want to see your application! The PhD process is a learning experience.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Salary Benefits:

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts 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.

Work Hours:

36 - 40 hours per week


Mekelweg 2