Research Scientist Foundation Models for Bosch Applications (f/m/div.)

  • Publication date
  • Closing date
  • Level of education

2023

Until filled

PhD degree

Apply now!

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!

About us

Roles & responsibilities

As part of our team, you adapt, evaluate and train state-of-the-art foundation models, like CLIP and Stable-Diffusion, in computer vision and related fields. Thereby, you improve existing methods for adapting foundation models, such as prompting and fine-tuning.
Furthermore, you explore the advantages of foundation models for continual and active learning, anomaly detection, uncertainty quantification, automated data labelling and customized data generation.
You develop methods to create compute-efficient neural networks for Bosch applications based on a foundation model through distillation or other methods.
In addition, you conduct in-depth experiments to gain a better understanding of the current limitations of foundation models, you assist the assessment of technological potential and you prepare strategic recommendations for management.
You contribute to creating and securing intellectual property in this novel field as well as in top-tier publications.
Last but not least, you create clean, efficient, well-tested, and well-documented code to support research efforts.

Education: excellent PhD in Deep Learning or Computer Vision with a strong publication record at top AI conferences, such as CVPR, ICLR, NeurIPS, ICCV, or ICML

Experience and Knowledge: strong programming skills, particularly in Python, and several years of prior industry experience at a high-tech company, for example in an industrial research environment, as well as expertise in developing and implementing advanced deep learning algorithms, hands-on experience in working with foundation models is beneficial

Personality and Working Practice: a highly self-motivated teamplayer, who is motivated to work in an international team

Enthusiasm: interest in implementing latest research solutions into projects and services

Languages: fluent in English

 

Please submit all relevant documents (incl. CV, letter of motivation, certificates, and links to GitHub or kaggle account).

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 support during your application?
Michael Streitmayer (Human Resources)
+49 711 811 33306

Need further information about the job?
Anna Khoreva (Functional Department)
+49 711 811 46129

Requirements

We offer

Our research campus in Renningen forms the international hub of our research and advanced engineering, cross-domain computing solutions and Bosch Center for Artificial Intelligence departments. Employees from all over the world are working to find answers to the questions of the day after tomorrow. So that the ideas of our researchers can develop optimally, the campus is a network of short distances between communication and inspiration, where creativity knows no bounds. Do you also want to shape the future? We look forward to your curiosity and innovative spirit.