Massimo Sartori
2 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Postdoctoral Fellow in Reinforcement Learning and Musculoskeletal Robotics University of Twente in Netherlands
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time 2-year postdoctoral position with possibility of a 6–12 month extension. Gross monthly salary is €4,241–€4,728 depending on education and experience. Benefits include a 30% tax ruling option, pension scheme, 8% annual holiday allowance, 8.3% end-of-year bonus, and at least 41 holidays per year for full-time employment.
Deadline
Expired
Country
Netherlands
University
University of Twente

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Suggested positions
Keywords
About this position
Postdoctoral Fellow opening at the University of Twente in the NeuBotics Lab / Robotics Centre for research at the intersection of robotics, reinforcement learning, biomechanics, artificial intelligence, and control systems.
The project is part of a collaborative Swiss National Science Foundation (SNSF) grant between ETH Zürich SoftRobotics Lab and the University of Twente. The research focuses on developing digital human twins of human-inspired musculoskeletal robots, combining neuromusculoskeletal modeling, reinforcement learning, imitation learning, and robotic experimentation to enable robust sim-to-real control.
Research topics include adapting human neuromusculoskeletal models to robotic limbs, building digital musculoskeletal robot twins, training robot controllers with RL, learning human-like movement and stiffness through imitation learning, and transferring policies to real hardware. The role is especially relevant for candidates interested in soft robotics, muscle-like actuators, prosthetics, wearable exoskeletons, and adaptive robotic control.
Eligibility highlights: a PhD in robotics, computer science, AI, control engineering, mechanical engineering, biomedical engineering, electrical engineering, or a related field; strong publication record; experience with RL/imitation learning, robotic control, sim2real, PyTorch/TensorFlow, GPU simulation environments such as MuJoCo or Newton, and Python/C++; strong English communication skills.
Offer details: full-time 2-year postdoc with possible 6–12 month extension, salary €4,241–€4,728 gross per month, 30% tax ruling option, pension scheme, holiday allowance, end-of-year bonus, and generous leave. Deadline is 5 July 2026. Interviews are planned for the week of 13 July 2026, with an expected start in October 2026.
How to apply: submit the application through the University of Twente web platform only. Required documents include a short video, cover letter, CV, and references. Email applications are not accepted.
Funding details
Full-time 2-year postdoctoral position with possibility of a 6–12 month extension. Gross monthly salary is €4,241–€4,728 depending on education and experience. Benefits include a 30% tax ruling option, pension scheme, 8% annual holiday allowance, 8.3% end-of-year bonus, and at least 41 holidays per year for full-time employment.
What's required
A PhD degree in Robotics, Computer Science, Artificial Intelligence, Control Engineering, Mechanical Engineering, Biomedical Engineering, Electrical Engineering, or a related discipline is required. Applicants should have a strong publication record in robotics, neuromechanics, reinforcement learning, or related fields. Required hands-on experience includes reinforcement learning and/or imitation learning, control of robotic systems, sim2real in robotic systems, machine learning frameworks such as PyTorch or TensorFlow, GPU-accelerated simulation environments such as MuJoCo or Newton, and programming in Python and/or C++. Excellent English communication skills and the ability to work in an interdisciplinary environment are required. Experience with soft robotics or electrofluidic actuators, prosthetic or assistive robotic technologies, and human movement analysis and biomechanics is a plus.
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.