Research Associate | Wissenschaftlichen Mitarbeiterin*Mitarbeiters (m-w-d)
Martin-Luther-Universität Medizinische Fakultät
Job Summary
This fixed-term, part-time (75%) Research Associate position at the Martin-Luther-University Halle-Wittenberg focuses on advancing digital research methods within medicine. The core responsibilities involve conducting research and contributing to projects utilizing Electroencephalography (EEG) measurements, Machine Learning, and Neural Networks, specifically focusing on medical applications. A major component is project coordination for the BMBF-funded “SektorPersoPlan-4-Tage-KI” project. Candidates must hold a Master's or Diploma in Informatics, Data Science, or AI, possess excellent practical experience in Deep Learning methods, and be proficient in Python, TensorFlow, and/or PyTorch. The role requires strong scientific communication skills for presenting results at conferences and preparing high-quality publications for recognized scientific journals. This is an excellent opportunity to contribute to cutting-edge digital research in a university setting.
Required Skills
Education
Completed university degree (Master or Diploma) in Informatics, Data Science, or Artificial Intelligence.
Experience
- Practical experience in the application and development of Deep-Learning methods
- Experience in programming with Python, TensorFlow, and/or PyTorch
- Experience in project coordination, specifically in third-party funded projects (BMBF)
- Professional experience in preparing and publishing scientific results
Languages
Additional
- Part-time employment (75%); Fixed-term contract (1.5 years, starting 01.03.2026); Applicants with foreign degrees must provide a Statement of Comparability for Foreign Higher Education Qualifications (ZAB).
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