PhD Researcher in Deep Learning for Data Auditing
Vor 5 Tagen
We are seeking a highly motivated PhD student to join our team at Bosch Corporate Research (CR) to conduct cutting-edge deep learning research with a focus on data. The successful candidate will have a strong background in Machine Learning/Deep Learning and a strong passion for innovation and automation.
Key Responsibilities- Develop novel and automated data auditing methods, leveraging foundation models, to enable data analysis at scale and provide insights into models' generalization capabilities.
- Advance data filtering and annotation strategies to optimize training efficiency and streamline model evaluation processes.
- Collaborate with Machine Learning and Computer Vision experts to publish research in top-tier journals and conferences.
- Contribute to the development of new ideas within the Deep Learning research team at Bosch CR.
- Excellent degree in Computer Science or related field with a focus on Machine Learning/Deep Learning.
- Strong background and experience in Deep Learning, strong programming skills, particularly in Python, and knowledge in Deep Learning frameworks (TensorFlow, PyTorch, etc.).
- Knowledge and experience in foundation models, generative models, and out-of-distribution detection are a plus.
- Motivation to work in an interdisciplinary and international team.
- Fluent in English (written and spoken).
- A dynamic and international work environment.
- The opportunity to work on cutting-edge research projects.
- A competitive salary and benefits package.
- The chance to collaborate with a talented team of researchers and engineers.
Interested candidates should submit their application, including a CV, a cover letter, and contact information for at least two academic references.
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