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Master Thesis on Closed-Loop Reasoning in LLM Agents for Evaluating HEMS Parameter Effects Using Time-Series Foundation Models via MCP

BSH Sprz?t Gospodarstwa Domowego·Salary not specified

Primary stack

PythonPandasNumPyAIMachine Learning

Job description

About the Position

Master Thesis on Closed-Loop Reasoning in LLM Agents for Evaluating HEMS Parameter Effects Using Time-Series Foundation Models via MCP

At Robert Bosch GmbH, we are looking for a highly motivated master's student to join our team for a 6-month thesis project. This role will explore how modern Home Energy Management Systems (HEMS) can leverage Large Language Models (LLMs) and Time-Series Foundation Models (TSFMs) for accurate forecasting and closed-loop reasoning.

Responsibilities

  • Connect a specialized Time-Series Foundation Model as an independent service to an existing LLM agent ecosystem using the standardized Model Context Protocol (MCP).
  • Investigate how numerical time-series predictions generated by the TSFM can be mathematically abstracted into concise semantic representations for LLM reasoning.
  • Design an interactive evaluation loop to explore system parameters and assess whether user objectives are optimally achieved.
  • Systematically evaluate scenarios and data representations to determine where specialized TSFMs deliver advantages over pure LLM reasoning.

Requirements

  • Education: Master studies in Computer Science, Data Science, Software Engineering, Electrical Engineering, Mathematics, or comparable with good grades.
  • Skills:
    • Strong proficiency in Python, especially with data and time-series processing libraries such as Pandas and NumPy.
    • Familiarity with modern asynchronous frameworks like asyncio.
    • Good understanding of AI and machine learning, with theoretical and practical grounding in machine learning, ideally time-series models and foundation models.
    • Familiarity with agentic workflows.
  • Personality and Working Practice: Highly self-motivated with strong analytical skills to drive independent scientific research.
  • Work Routine: Opportunity to work in a hybrid setup.
  • Languages: Very good in English.

Nice to Have

  • Experience with asynchronous frameworks.
  • Experience with agentic workflows.

We Offer

  • A chance to contribute to intelligent energy management.
  • Opportunity to work in a dynamic and innovative environment.
  • Hybrid work setup.

About the Company

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

Additional Information

  • Start: According to prior agreement.
  • Duration: 6 months.
  • Requirement: Enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations, and if indicated, a valid work and residence permit.

Diversity and inclusion are firmly anchored in our corporate culture. We welcome all applications, regardless of gender, age, disability, religion, ethnic origin, or sexual identity.

Need further information about the job?

Johannes Goth (Functional Department)

+49 1520 8949541

Work #LikeABosch starts here: Apply now!

#LI-DNI

Job Location

Germany

© BSH Sprz?t Gospodarstwa Domowego. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

About the Company BSH Sprzęt Gospodarstwa Domowego is a leading global manufacturer of home appliances, with a history of over 55 years. The company operates in 39 factories across Europe, North America, Africa, and Asia. BSH is known for its global brands such as Bosch, Siemens, and Gaggenau. Products, Services & Tech Stack Core Solutions: Home appliances Technologies & Frameworks: Internet of Things (IoT) Data Science GenAI SAP Cybersecurity RFID Android & iOS (Mobile) Java Python Kotlin Swift C++ React Next.js TypeScript AWS HTML & CSS

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