Research Associate in Artificial Intelligence and Circular Economy | Informatiker (m/w/d)
Hochschule Ruhr West
Job Summary
This role involves working as a Research Associate within the easy.dpp.nrw project, focusing on developing a modular, scalable software toolkit for the Digital Product Passport (DPP). The core mission is to leverage Artificial Intelligence (AI), including analytical and generative methods, to enable small and medium-sized enterprises in North Rhine-Westphalia to identify and implement suitable Circular Economy strategies. Day-to-day tasks include conducting research, developing and evaluating new AI approaches such as Transfer Learning, Fine-Tuning, Deep Learning, and Large Language Models (LLMs), and integrating these applications into the DPP software toolkit. The successful candidate must hold a Master's degree in Computer Science, possess strong expertise in Machine Learning/AI, and be proficient in programming languages like Python, C, or C++. This position is attractive as it offers an opportunity for further qualification, such as pursuing a PhD, within a supportive, agile, and research-intensive university environment.
Required Skills
Education
Master's degree or equivalent in Computer Science
Experience
- Professional experience in Machine Learning or Artificial Intelligence
- Experience in integrating AI applications into software systems
- Experience in creating scientific publications
- Experience in student supervision (BSc/MSc theses)
Languages
Additional
- Interest in further qualification (e.g., pursuing a PhD) is required.
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