PhD in Video-Based Hand Motion Tracking for RA

Delft University of Technology (TU Delft); Delft; On-site; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Discounts on health insurance

Relocation assistance

Graduate School enrollment and support

Job summary

TU Delft seeks a PhD candidate in the Biomechanical Engineering Department to develop computational models and video-based tools for measuring hand movement in home environments. You will work within the Computational Biomechanics (Seth) and Neuromuscular Control (Mugge) Labs, contributing to open-source repositories and broader Open Science initiatives.

The position supports mentoring and teaching activities, with opportunities to present at conferences and participate in exchange programs.

Qualifications

• MSc in engineering or similar discipline by the start date of the position.
• Experience with mechanical modeling and simulation.
• Experience in computer programming/scripting (e.g., C++, Python, Matlab).
• Experience collecting human experimental data (movement, video, or similar).
• Excellent written and oral communication skills in English.

Responsibilities

• Develop and apply computational models and video-based tools to capture hand movement and function.
• Work with video data, musculoskeletal models, and pose estimation algorithms.
• Contribute to open source and data repositories affiliated with the program and TU Delft’s Open Science initiative.
• Collaborate within the Biomechanical Engineering Department and related labs to advance home-based assessment of RA.

Skills

MSc in engineering

Mechanical modeling

Programming (C++, Python, Matlab)

Data collection (movement/video)

English communication

Education

MSc in engineering or similar

Tools

C++

Python

Matlab

Job description

TU Delft seeks a PhD candidate in the Biomechanical Engineering Department to develop computational models and video-based tools for measuring hand movement in home environments. You will work within the Computational Biomechanics (Seth) and Neuromuscular Control (Mugge) Labs, contributing to open-source repositories and broader Open Science initiatives.

The position supports mentoring and teaching activities, with opportunities to present at conferences and participate in exchange programs.