Welcome to

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Employment type: Limited

Working hours: Full-Time

Joblocation: Renningen

Your tasks

We are conducting cutting-edge research on advanced generative models aimed at enhancing data efficiency in Bosch systems. We are seeking a PhD student who is passionate about exploring innovative applications of generative models (such as diffusion and autoregressive models) to simulate real-world scenarios for AI training and validation.

The development of AI models is often an iterative process that requires increasingly large datasets to address long-tail cases that are not represented in existing data. However, collecting data from the real world can be time-consuming and expensive, hindering the automation of the data loop. The objective of this thesis is to create new methodologies that enable generative models to substitute for the real-world, facilitating closed-loop interactions. This may involve designing novel control mechanisms to efficiently sample the required data and respond to interactions.

As a member of our team, you will:

• Develop novel deep generative models (e.g., diffusion models) as data sources to enhance the training and validation of downstream models.
• Collaborate with experts in deep learning and computer vision at the Bosch Center for AI to brainstorm and develop new ideas.
• Aim for publications in top-tier journals and conferences.

Your profile

• Education: excellent degree in Computer Science, or related field with focus on Computer Vision and Deep Learning
• Experience and Knowledge: strong background in deep learning and computer vision, experience with deep learning frameworks (TensorFlow, PyTorch, etc.), strong programming skills, in particular Python, knowledge and experience in deep generative modeling as well as foundation models are a plus, experience with publication of peer-reviewed research papers is beneficial
• Enthusiasm: motivation to work in an interdisciplinary and international team
• Languages: very good English skills and academic writing skills

This location offers

• Work-life balance: Flexible working in terms of time, place and working model.
• Health & Sport: Wide range of health and sports activities.
• Childcare: Intermediary service for childcare services.
• Employee discounts: Discounts for employees.
• Room for creativity: Space for creative work.
• In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan.

Contact & Additional information

https://www.bosch-ai.com

www.bosch.com/research

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

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 support during your application?

Sarah Schneck (Human Resources)

+49 711 811-43338

Need further information about the job?

Jiayi Wang (Functional Department)

+49 711 811 44429

Julia Vinogradska (Functional Department)

+49 711 811 27767