Working Student Research-Based Venture Development & Funding Strategy

Conducting structured literature, technology, market and competitive research to provide a scientific context and identify potential fields of application in the field of XAI Providing scientific input for the preparation of research proposals, in particular through research and analysis of application potential, scientific utilization, expected impacts and transfer prospects of research results in the field of XAI Systematic documentation and synthesis of findings from completed and ongoing research proposals to support scientific project planning and grant applications in the field of XAI

Full-time enrollment in a Master’s program in business administration, economics, innovation management or a related field, with strong grades and a research-oriented focus Solid grounding in empirical research methods (quantitative and/or qualitative), demonstrated, for example, through your thesis, research seminars or work as a student research assistant Familiarity with literature on entrepreneurship, innovation, technology transfer or venture capital Strong analytical skills with Excel; experience with statistical tools (e.g. R, Stata or Python) is a plus Confident, methodical use of LLMs for research, analysis and writing tasks Genuine interest in AI and in the interface between science, entrepreneurship and investment Ability to write clearly and persuasively in English, both academically and for non-academic audiences; German is a plus Structured, independent way of working and the ability to explain complex ideas simply

Gain first-hand insight into technology transfer and academic entrepreneurship, which can be a valuable basis for a thesis or future doctoral research Build a rare skill set at the intersection of AI, venture capital and research funding Attractive salary Modern and excellently equipped workplace in a central location Work alongside researchers, founders and industry partners Flexible working hours