BMW Group encourage you to contribute your ideas and support you in gaining practical experience during your thesis.
What awaits you?
- You will support the implementation of time series foundation models (eg, Chronos, Time-LLM, TimeGPT) for zero-shot forecasting, including probabilistic outputs.
- Furthermore, you help to build strong baselines (eg, ARIMA, gradient boosted trees) and ensure fair, reproducible experiments.
- In addition, you will engineer temporal and exogenous features, handle seasonality, missing data and outliers.
- Furthermore, you support the application of these methods to an automotive demand forecasting use case.
- You will also help to document methods, code and results, and contribute to a high-quality thesis and internal report.
Please note that your thesis must be supervised by a university on your part.
Table of Content
Summary
- Application DeadlineNot Specified
- Study LevelMasters
- SponsorBMW Group
- Eligible CountryAll Countries
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Benefits
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive & fair compensation.
- Apartments for students (subject to availability & only at the Munich location).
- And much more, see bmw.jobs/whatweoffer
Start date: 03/02/2026
Requirements
- Studies in computer science, mathematics, industrial engineering or a related technical field.
- Interest in and initial experience with large language models, time series methods and machine learning fundamentals.
- Advanced knowledge of Python programming and experience with numerical libraries such as NumPy, SciPy, PyTorch or TensorFlow.
- Strong problem-solving mindset, attention to detail and collaborative style in an interdisciplinary team.
- Fluent English skills.
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
BMW Group on career5.successfactors.eu to apply
For more information, kindly visit BMW Group webpage.
