Master Thesis on Large Language Models for Smart Home Automation

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

Zusammenfassung

A leading technology firm in Rennigen is looking for a master's student to develop a proof of concept in natural language processing for smart home devices. Responsibilities include researching relevant literature, defining system performance metrics, and implementing an LLM-based solution. Candidates should have strong skills in Machine Learning and Python, as well as the ability to work autonomously. This project lasts 6 months and requires university enrollment.

Qualifikationen

• Proficient in English.
• Experience with compute clusters is advantageous.

Aufgaben

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

Kenntnisse

Machine Learning

Python programming

Analytical thinking

Autonomous working

Systematic organization

Ausbildung

Master studies in Computer Science or Software Engineering

Jobbeschreibung

Company Description

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!

Job Description

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 naturallanguage 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.
• Itshould 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.

Qualifications

• 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
• Languages: proficient in English

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?
Timo Schrader (Functional Department)
[phone]

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