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PhD Researcher in Deep Learning for Data Auditing

vor 2 Monaten


Renningen, Baden-Württemberg, Deutschland Bosch Vollzeit
Job Description

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 be part of an interdisciplinary and international team and will have the opportunity to innovate and automate data auditing methodologies for analyzing data diversity, coverage, and biases, leveraging deep generative models and foundation models.

The goal of this position is to develop novel and automated data auditing methods, leveraging foundation models. These methods shall enable data analysis at scale, provide insights into models' generalization capabilities, and aid performance estimation in new domains. Additionally, outcomes from data auditing will be utilized to improve data quality, prune less relevant samples, add more valuable ones, and generate advanced annotations to expedite learning with smaller models and model evaluation.

Responsibilities
  • Develop novel and automated data auditing methodologies for analyzing data diversity, coverage, and biases, leveraging deep generative models and foundation models.
  • Advance data filtering and annotation strategies to optimize training efficiency and streamline model evaluation processes.
  • Collaborate with Machine Learning and Computer Vision experts and publish in top-tier journals and conferences.
  • Discuss and develop new ideas within the Deep Learning research team at Bosch Corporate Research (CR).
Requirements
  • Excellent degree in Computer Science or related field with focus on Machine Learning/Deep Learning.
  • Strong background and experience in Deep Learning, strong programming skills, in particular Python, knowledge in Deep Learning frameworks (TensorFlow, PyTorch, etc.), knowledge and experience in foundation models, generative models, and out-of-distribution detection.
  • Motivation to work in an interdisciplinary and international team.
  • Fluent in English (written and spoken).

We welcome all applications, regardless of gender, age, disability, religion, ethnic origin, or sexual identity. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture.