PhD Candidate in Neuroengineering and Control

Job summary

This PhD position focuses on developing innovative data-driven methods for diagnosing and treating Parkinson's disease, in collaboration with leading researchers and clinical partners. The role is based at a technical university and involves a research stay at a partner institution.

Qualifications

• Master's degree (or equivalent) in Electrical Engineering, Biomedical Engineering, Robotics, Automation, Computer Science, Applied Mathematics, or a related field.
• Background in control systems, signal processing, or computational modeling.
• Experience with machine learning and programming in Python, MATLAB, or similar.
• Strong analytical skills and interest in research.
• Ability to work independently and collaboratively in an interdisciplinary team.
• Proficient communication skills in English.

Responsibilities

• Analyze multimodal physiological and movement data.
• Develop computational models for pathological motor dynamics.
• Design algorithms for state estimation of hidden disease states.
• Collaborate with clinical and academic partners.
• Present findings through publications and at international conferences.

Education

• A two-year master's degree (120 ECTS points) or equivalent academic level is required.

Tools

• Python, MATLAB, and other relevant programming tools.