PhD Researcher in Deep Learning for Data Auditing
vor 14 Stunden
We are seeking a highly motivated PhD researcher to join our team and contribute to cutting-edge deep learning research with a focus on data auditing.
The successful candidate will have a strong background in machine learning and deep learning, with a focus on data auditing and quality improvement. The researcher will work closely with our team to develop novel and automated data auditing methods, leveraging foundation models to enable data analysis at scale.
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, e.g., pruning less relevant samples, adding more valuable ones, and generating advanced annotations to expedite learning with smaller models and model evaluation.
Responsibilities- Develop novel and automated data auditing methods, leveraging foundation models.
- Conduct cutting-edge deep learning research with a focus on data auditing.
- Collaborate with Machine Learning as well as Computer Vision experts and publish in top-tier journals as well as conferences.
- Discuss and develop new ideas within the Deep Learning research team at Bosch Corporate Research (CR).
- Education: excellent degree in Computer Science or related field with focus on Machine Learning/Deep Learning.
- Experience and Knowledge: 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 as well as out-of-distribution detection are a plus.
- Enthusiasm: motivation to work in an interdisciplinary and international team.
- Languages: fluent in English (written and spoken).
The final PhD topic is subject to your university.
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.
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