Research Associate - Artificial Intelligence (AI) | Wissenschaftlicher Mitarbeiter (m/w/d) - KI
Universität Rostock Zentr.UniVerwaltung Land MV
Job Summary
This Research Associate position at the University of Rostock, within the Faculty of Computer Science and Electrical Engineering, is dedicated to the cutting-edge *BehAIve* project. The goal is to develop an AI-based, situation-adaptive assistance system designed to support the elderly in daily activities and relieve caregivers. The successful candidate will join the research group for Hybrid Methods in Artificial Intelligence and Machine Learning (HAIML), focusing on developing and extending hybrid neuro-symbolic and neuro-probabilistic models. Key responsibilities include designing algorithms for state estimation and activity recognition in dynamic systems, investigating hybrid learning strategies combining gradient-based and gradient-free optimization, and conducting experimental studies using real and simulated sensor data. This role requires a highly qualified junior scientist with a strong background in data analysis and AI, excellent communication skills, and a commitment to disseminating research through international publications and presentations.
Required Skills
Education
Completed Bachelor's and Master's degree (or equivalent Diploma) in Computer Science or a comparable field with a predominantly computer science-oriented curriculum. The qualifying degree must have a GPA of 2.0 or better (German grading system) and be from a university recognized as H+ (German Anabin system).
Experience
- Proven experience in data analysis, probabilistic modeling, and/or artificial intelligence
- Demonstrated ability to work independently and reliably under time pressure
- Proven organizational and time management skills
- Demonstrated ability to collaborate effectively in interdisciplinary research environments
Languages
Additional
- Fixed-term contract until March 31, 2029. Must provide documented proof of meeting all academic and language prerequisites during the application process.
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