PhD opening in Learning-based models of human-exosuit interfaces for movement assistance

The Chair of Neuromuscular Robotics is seeking a creative and motivated PhD candidate to advance our understanding of human-exosuit interactions during movement for applications across rehabilitation, occupational tasks, and space travel.

The project:
The landscape of wearable assistive robots is evolving. These devices are becoming lighter, more flexible, and more integrated with the user. However, current human-machine interface models fail to fully capture the complex interaction between the soft exosuits and the human body. This often leads to inefficient transfer of assistance from the exosuit to the wearer.

New techniques to model the soft human and soft exosuit interactions are thus needed. We are developing new models of human-exosuit interaction that aim to enhance the efficiency and comfort of these systems during extended use. These models have potential benefits in improving the efficiency and comfort of these systems during extended use. Additionally, such models can also be incorporated into physics-based simulators for biomechanics, enabling the optimization of exosuit design and interaction across various tasks. These innovations could have wide-ranging applications, from rehabilitation to occupational and space exploration.

The PhD opening:
The primary objective of this PhD to develop and validate novel models of the human-exosuit interfaces during movement. Key tasks may include developing fundamental interaction models using the SoRoSim toolbox (MATLAB) which offers a general framework for modelling soft and rigid robots. This will be followed with applications in dynamic scenarios using physics simulators such as MyoSuite (python). Finally, these models would be validated on data collected from phantom limbs or experimental studies from rehabilitation, occupational, or space use.

As a PhD candidate, you have the freedom to shape the direction of the project over the four years, under the mentorship of the Chair of Neuromuscular Robotics within the Department of Biomechanical Engineering. Our group has expertise access to a variety of modelling frameworks including SoRoSim, MuJoCo, and OpenSim. We are also the core development team for CEINMS and MyoSuite. During the PhD, you will have access to state-of-the-art biomechanics laboratories for conducting movement analysis with wearable robots.

The machine-learning landscape is constantly evolving with advances on what AI can do. You should be adaptable to integrating the latest advances in the field for your research. You will have the opportunities to present your work at conferences, building academic or industrial networks to support your future career. Additionally, your role will involve contributing to the education of Bachelor’s and Masters’s students at the University.

Requirements:

• M.Sc. degree in Computer Science, AI, Robotics, Electrical Engineering, Biomedical Engineering, or related degrees.
• Experience with reinforcement learning in Python. Affinity with C++ is a plus.
• Experience in biomechanical modelling of human or robot movement.
• Interpersonal and organizational skills, creativity, motivation, and communication (oral and written) ability.
• Fluent in written and oral English.
• Ability to pivot with advances in machine learning techniques.
• Knowledge of multi-body dynamics simulation software (e.g. OpenSim, AnyBody, or others).
• Mentorship experience.

Salary Benefits:

• A full-time four-year PhD position.
• A starting salary of € 2.872,- in the first year and growing to € 3.670,- in the fourth-year gross per month.
• 30% tax ruling option.
• A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.
• A minimum of 29 holidays in case of full-time employment.
• A proven pension scheme.
• Professional and personal development programs.
• Extraordinary research facilities and working environment:
• Access to the several equipment and laboratories within the Biomechanical Engineering Department.
• Work location within a knowledge park with direct access to a large number of tech-companies and start-ups.
• Proximity to Enschede, a mid-size city with a large social offer, embedded in the beautiful nature of the Twente region.
• Fun work atmosphere with social events such as lab retreats.

40 hours per week

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