Job title: Thesis AI and Deep Learning for Automotive Text Mining
Job description: 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!
- During your thesis you will work on the evaluation of state-of-the-art AI methods in the field of NLP with a focus on automotive, specifications, law texts, etc.
- You will apply modern technologies: Therefore you will use frameworks such as TensorFlow, PyTorch, HuggingFace and adapt them to the use cases in system engineering.
- You evaluate the current state of the art (BERT, GPT; BigBird, …) on different structured and unstructured datasets and take care of the fine tuning.
- Last but not least, you will create prototypes to communicate research ideas with multiple departments.
- Education: studies in the field of Computer Science, Systems Engineering, Information Technology, AI or comparable
- Personality and Working Practice: innovative person with an agile, structured and goal-oriented working style as well as excellent communication and team skills
- Experience and Know-How: experience in at least one of the following programming languages: Python, Java, C#, C++; ideally you have worked in a relevant project in the areas of Artificial Intelligence, Deep Learning and are familiar with modern AI frameworks like TensorFlow, PyTorch, MXNet,…; competitive and broad knowledge about automotive architecture (AUTOSAR,..) and System Engineering (V-Model XT) is a plus
- Languages: fluent in English and German
Start: October 2021
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Need further information about the job?
Anh Tuan Tran (Business Department)
+49 7062 911 7873
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