KEY TAKEAWAYS

• 
  Hours
  38 hr.
• 
  Salary indication
  Salary gross/monthly
  based on full-time
  € 4,060 - € 5,331
• 
  Deadline
  24 Aug 2025
  Our mission is to restore natural gait patterns in individuals with motor impairment (due to stroke, spinal cord injury etc) through real-time neural control of wearable robotic exoskeletons. You will be developing next-generation (low and high-level) control algorithms for wearable exoskeletons that use motor unit biofeedback for locomotion enhancement of post-stroke ndividuals.
  If you’re excited by the idea of translating cutting-edge neuromechanical research into tangible clinical solutions, we encourage you to apply.

REQUIRED QUALIFICATIONS:

• A PhD in Robotics, Control, Mechanical Engineering, Biomedical Engineering, Electrical Engineering, or a related discipline.
• Hands-on experience with:
• Real-time programming (C++, Python, MATLAB)

• Real-time communication systems (e.g., EtherCAT, CAN Bus)

• Closed-loop control (middle- and low-level controllers) of robotic exoskeletons or bionic limbs

• Strong knowledge of EMG-driven musculoskeletal modeling is a plus

• Demonstrated creativity, initiative, and excellent communication (written and oral) skills in English

PREFERRED QUALIFICATIONS:

• Experience working with clinical populations (e.g., stroke patients)
• Background in digital signal processing
• Experience with multi-body simulation environments (e.g., OpenSim, CEINMS-RT)

As a postdoctoral researcher, you will lead the development and integration of advanced neuromechanical modeling and control systems. Your core tasks will include:

• Leading the integration of novel control algorithms within the SWAG project in collaboration with the partners.
• Integrating HD-EMG decomposition algorithms with the CEINMS-RT musculoskeletal modeling framework to enable efficient real-time computation of joint kinetics.
• Developing and validating motor unit-driven musculoskeletal models to estimate ankle joint moments during gait in stroke survivors.
• Implementing real-time control strategies for a bilateral ankle exoskeleton based on the validated models.
• Collaborating with clinical partners for in-lab evaluations with individuals with post-stroke or other motor impairments.