Master Thesis Deep Learning on Ultrasound Data for Automotive Parking - remote possible

Location

Magstadt | Germany

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!

Job Description

• During your Master thesis, you will conduct in-depth research into ultrasound data analysis techniques and their application in the automotive industry.
• You will develop and implement innovative approaches to data representation using deep learning architectures for feature extraction.
• Furthermore, you will explore the potential of integrating different input modalities (e.g. visual, auditory) to enhance data fusion and improve accuracy using artificial intelligence.
• Last but not least, you will design and run experiments to evaluate the performance of different algorithms and methods.

Qualifications

• Education: Master studies in the field ofComputer Science, Electrical Engineering, Data Science or comparable
• Experience and Knowledge: Python knowledge
• Work Routine: working in Renningen, Berlin or mobile working within Germany
• Languages: good in English; good in German is an advantage

Additional Information

Start: according to prior agreement
Duration: 6 months

You want to work flexibly from your home in Germany or prefer working at the Bosch location in Renningen or Berlin? For positions with the addition “remote possible”, you can agree on the appropriate collaboration for your task together with your manager and your team within the framework of Smart Work.

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?
Jan Köhler (Functional Department)
+49 711 811 49404

#LI-DNI

Summary

• Type: Full-time
• Function: Research

Job tags

Salary