PhD Researcher in Machine Learning Bias
1 month ago
The PhD position is focused on understanding the bias generation and amplification process in machine learning, a critical issue emerging from ML technology. The candidate will have the opportunity to learn and further develop sophisticated theoretical methods from statistical physics and probability theory and apply these methods to relevant societal problems.
About the Division and DepartmentThe department is a joint effort between Chalmers University of Technology and the University of Gothenburg, operating across two campuses in the city of Gothenburg. The department is organized into four divisions and employs approximately 270 people from over 30 countries. Research within the department spans a wide spectrum, from theoretical foundations to applied systems development.
Major Responsibilities- Analyse the literature and formulate hypotheses related to bias generation and amplification in machine learning.
- Propose models to verify or falsify these hypotheses and develop new theoretical methods to advance the investigation.
- Undertake the doctoral-level research project supported and guided by the PI.
- Contribute to the development of high-quality education at the bachelor's, master's, and graduate levels.
The position includes 20% departmental work, primarily as a teaching assistant for Chalmers' undergraduate and master's-level courses or performing other departmental duties.
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