Research Assistant (m/f/d) - GenAI for Legal Document Processing AImotion

Be part of our team Research Assistant (m/f/d) – GenAI for Legal Document Processing AImotion Autonomous driving? Unmanned aerial flight? Digital manufacturing?

The AI mobility node Ingolstadt at the AImotion Bavaria Institute is dedicated to these research topics. Change the future of AI-based mobility with us. Your tasks Develop algorithms for identifying misalignments in contractual documents.

This includes leveraging LLMs to accurately detect gaps in deontic logic and creating evaluation metrics. Design and implement a framework for generating legally vetted adjustments using Knowledge Graphs and Retrieval Augmented Generation. Together with our partner Thyssen Krupp you will setup a public cloud tenant, build a prototype, participate in national and international conferences, and support with further grant applications.

You will support the professorship's research and teaching activities. Your profile Scientific university degree in computer science or a related field. Advanced German language skills.

Strong background in Natural Language Processing, Cloud Infrastructures, Statistics and Machine Learning with programming skills in Python. Advanced knowledge of operating principles of Generative AI and Retrieval Augmented Generation. Excellent command of English, strong communication and teamwork, and good organizational skills.

Contact ANR 1716 please feel free to contact Milena Porsch -5062 We look forward to you! What we offer excellent labratory equipment innovative working environment collaboration with industry partners comprehensive support & guidance future oriented learning opportunities doctorate in engineering and information science homeoffice & mobile working flexible working hours canteen & restaurant Good connections & central location Short info Contract 30 h/week Duration until 31.01.2028 Payment TV-L EG 13 Location Ingolstadt Application until 02.03.2025 Good to know In general, our positions are available on a part-time basis. Severely disabled applicants are given preferential consideration in the event of equal qualification.

We are striven to increase the number of employed women and therefore particularly welcoming towards applications from women (Article 7(3) BayGIG).