Master Thesis on Large Language Models for Smart Home Automation

Robert Bosch Group; Renningen; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology firm in Germany is seeking candidates for a Master Thesis focusing on Large Language Models for Smart Home Automation. The selected candidate will develop a proof of concept for a natural language processing system, research literature, define performance metrics, and implement an LLM-based solution. Ideal candidates are Master students in Computer Science or related fields with programming expertise in Python and knowledge of Machine Learning.

Qualifikationen

• Profound knowledge of Machine Learning and programming in Python.
• Experience with compute clusters.
• Ability to work autonomously and organize tasks systematically.

Aufgaben

• Develop proof of concept for natural language processing system.
• Research literature on structured data generation using LLMs.
• Define metrics to capture system performance.
• Implement and optimize an LLM-based solution.

Kenntnisse

Machine Learning

Programming in Python

Analytical Thinking

Ausbildung

Master studies in Computer Science or Software Engineering

Jobbeschreibung

Master Thesis on Large Language Models for Smart Home Automation

• Full-time

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!

Smart home devices are making people’s lives at home easier and more comfortable. With an increasing number of devices from various manufacturers, it is necessary to make configuration and control as easy as possible. This can be achieved by a configuration software that is aware of all devices and their functions. As the current system only allows manually defined automations, an important next step is the automated configuration via natural-language inputs.

• Your thesis aims at the development of a proof of concept (PoC) that uses a natural language processing system (e.g., LLM) to process user input commands for (re-)configuring (new) devices.
• It should cover, but is not limited to, researching relevant literature on the topic of structured data generation using Large Language Models (LLMs).
• You will define metrics that can reliably capture the performance of the system.
• Last but not least, you will implement and optimize an LLM-based solution as a PoC.

• Education: Master studies in the field of Computer Science, Software Engineering, or comparable
• Experience and Knowledge: profound knowledge of Machine Learning and programming in Python; experience with the usage of compute clusters
• Personality and Working Practice: you excel at working autonomously, systematically organizing your tasks, and applying analytical thinking to solve complex problems

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?
Timo Schrader (Functional Department)
[phone]