Excellent labratory equipment
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
karriere@thi.de
+49 841 9348-5062
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).