PhD - Foundation-Model-based Neural Architecture Search

Location

Deutschland | Germany

Job description

PhD - Foundation-Model-based Neural Architecture Search

• Full-time

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. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Bringing deep learning models to various embedded devices for a multitude of applications is crucial for Bosch. Our team conducts research on state-of-the-art neural architecture search (NAS) methods that are used to enable real-world Bosch systems to leverage hardware-efficient, yet high-performing machine learning models. We observe that today's hardware-aware NAS techniques are computationally expensive when applied to new applications or hardware targets, as they can not utilize experience from prior experiments effectively.

Thus, we are looking for a PhD student who is interested in conducting cutting-edge-research on novel methods for NAS that learn from prior experience, can generalize to novel tasks and hardware while at the same time are efficient during the search process. For this, we aim to leverage existing pre-trained foundation models (FM) such as LLMs, as well as train our own models specifically for the purpose of NAS.

• As a part of our team, you will research on novel approaches for neural architecture search based on foundation models.
• You discuss and develop new ideas within the deep learning experts at Bosch Center for AI.
• Also, you publish your results in top-tier journals and at conferences.
• Finally, your research will be inspired by real-world problems from Bosch business units and ideally help to improve Bosch products and services.
• Education: excellent Master Degree (or equivalent) in Computer Science, Mathematics, Physics or similar fields with focus on Machine Learning
• Experience and Knowledge: general prior knowledge in machine learning/deep learning methods, experience with deep learning frameworks (PyTorch, Tensorflow, etc.), good programming skills, in particular Python, knowledge and experience in neural architecture search, foundation models, embedded AI or optimization are a plus, experience with publication of peer-reviewed research papers is beneficial
• Personality and Working Practice: systematic, creative and self-dependent as well as able to work in an international team with diverse background

Please submit all relevant documents (incl. curriculum vitae, certificates).

You want to work remotely or part-time - we offer great opportunities for mobile working as well as different part-time models or job-sharing. Feel free to contact us.

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?
Bastian Bischoff(Functional Department)
+49 711 811 35040

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