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      Urgent! Master Thesis Foundation Model Knowledge Distillation into Deployable Perception Model Architectures for Automated Driving Job Opening In Renningen – Now Hiring Robert Bosch GmbH
Robert-Bosch-Campus 1, 71272 Renningen, Germany
Full-time
Robert Bosch GmbH
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!
Deep neural networks represent the state-of-the-art for 3D scene understanding in autonomous driving, including occupancy prediction or object detection.
However, deployment constraints require compact models that can operate efficiently on target hardware under real-time conditions.
While large foundation models have demonstrated exceptional capabilities across domains, their computational demands make direct deployment in autonomous driving challenging.
This master thesis explores leveraging foundation models to enhance efficient, deployable perception architectures for 3D occupancy prediction.
The objective is to effectively transfer rich knowledge from large-scale foundation models into lightweight networks suitable for real-world autonomous driving deployment.
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?
Marc Sons (Functional Department)
+49 152 2847 9248
#LI-DNI
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Unlock Your Master Thesis Potential: Insight & Career Growth Guide
Real-time Master Thesis Jobs Trends in Renningen, Germany (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Master Thesis in Renningen, Germany using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1543 jobs in Germany and 11 jobs in Renningen. This comprehensive analysis highlights market share and opportunities for professionals in Master Thesis roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Robert Bosch GmbH is currently hiring and seeking a Master Thesis Foundation Model Knowledge Distillation into Deployable Perception Model Architectures for Automated Driving to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Master Thesis Foundation Model Knowledge Distillation into Deployable Perception Model Architectures for Automated Driving Jobs Renningen.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Robert Bosch GmbH adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Master Thesis Foundation Model Knowledge Distillation into Deployable Perception Model Architectures for Automated Driving Jobs Germany varies, but the pay scale is rated "Standard" in Renningen. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Master Thesis Foundation Model Knowledge Distillation into Deployable Perception Model Architectures for Automated Driving typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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