TUM Startup Masterarbeit – Knowledge Graphs & AI
TUM Startup Masterarbeit – Knowledge Graphs & AI

TUM Startup Masterarbeit – Knowledge Graphs & AI

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Motius – We R&D: Motius isan R&D company specialized in solvingchallenges with emerging tech to createlonglasting value for customers. With the uniquecombination of a permanent core team and aninterdisciplinary tech community, we reinventR&D and develop the tech products of thefuture.

As Working Student (m/f/d) withMaster’s Thesis Option – Knowledge Graphs &AI, you will be part of a cutting-edgeproject at the intersection of knowledge representation, AI and information retrieval. Thisposition offers the opportunity to write yourMaster\’s thesis or complete your IDP. Yourresearch will directly contribute to one of ourongoing projects, with the option to develop yourthesis topic around your specific researchcontributions.

Your Role

  • Support our research and developmentactivities in the field of knowledge graphs,retrieval-augmented generation (RAG), and advancedAI systems
  • Design and run experiments to test andvalidate approaches for knowledge graph quality,ontology effects, and reinforcement learningmethods
  • Collaborate with our team onstate-of-the-art methods while contributing toreal-world applications
  • Take ownership of a defined researchproject as part of your Master’s thesis or IDP

Your Profile

  • Enrolled in a Master’s program in ComputerScience, Data Science, Artificial Intelligence, or a related field
  • Strong background in Machine Learning,Natural Language Processing and AI fundamentals,with solid programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch,scikit-learn)
  • Independent, structured way of workingcombined with curiosity for scientific exploration
  • Strong command of English language (bothverbal and written), German is a plus
  • Interest in at least one of the following research topics:
  • Knowledge base/graph testing andvalidation
  • Quality estimation of informationcaptured in a knowledge graph
  • Weighted knowledge graphs and RAG
  • Effects of knowledge base ontology on RAG
  • Reinforcement learning / tree search fortree-of-thought generation
  • We enable: The chance to use newesttechnologies in our different R&D projects and the perspective of a permanent position aftergraduation
  • We create: Huge impact on future productsand insights from a broad range of industries, in an environment with flexible working hours and upto 50% remote work
  • We explore: Opportunity to dive intodifferent areas within our internal Learning andDevelopment formats (Learning Lunch, DiscoveryConference, etc.)
  • We are community-driven: Vibrant andinterdisciplinary tech community as well as regular team buildings and company events

Motius is colorful – We embrace and value equalopportunities, inclusion, and diversity. Therefore, we welcome every application withpleasure!

Find more reasons why you should join Motius in our latest blog post and on Instagram@team_motius. Does that make you curious? Julia is your contact person for further questions and looks forward to hearing from you!

#J-18808-Ljbffr

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Kontaktperson:

Tum International Gmbh HR Team

TUM Startup Masterarbeit – Knowledge Graphs & AI
Tum International Gmbh
Standort: München
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