Master Thesis in Agentic Modeling of Physical Systems

Your tasks

Are you an ambitious and highly motivated student with a deep passion for Artificial Intelligence? Do you possess an insatiable curiosity to apply AI to novel, complex tasks within an industrial context? If so, this master thesis on agentic modeling offers a challenging opportunity to push the boundaries of AI application!

• During the thesis your primary task will be to design and implement a comprehensive toolchain specifically tailored for the agentic modeling of physical systems.
• You will create a benchmark where you show advances in current agentic coding systems and highlight shortcomings when applied to the specialized task of modeling physical systems.
• Based on your thorough analysis of existing systems and identified challenges, you will formulate ideas and conceptual improvements for agentic coding systems.
• Your thesis will also involve the systematic validation of these proposed enhancements, demonstrating their effectiveness for physical modeling tasks.

Your profile

• Education: Master studies in the field of Computer Science, Engineering or comparable with strong programming background
• Experience and Knowledge: experience with agentic AI system and coding assistants necessary; basic knowledge in modeling physical systems and design of experiments is a plus
• Personality and Working Practice: you excel at self-driven problem-solving and collaborating proactively
• Languages: very good in English

Contact & additional information

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Fabian Jarmolowitz (Functional Department)
+49 711 811 49805

Apply now