PhD Researcher in Machine Learning Bias

2 weeks ago


Gothenburg, Västra Götaland, Sweden Chalmers tekniska högskola Full time
PhD Position in Mathematical Foundations of Bias in ML

The PhD student will investigate the bias generation and amplification process in machine learning, a critical issue in the field. The candidate will develop sophisticated theoretical methods from statistical physics and probability theory and apply them to relevant societal problems. This opportunity will equip the candidate with the skills and knowledge necessary to make significant contributions to academia and the broader research community.

About the Department

The department is a joint effort between Chalmers University of Technology and the University of Gothenburg, operating across two campuses in 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 in machine learning.
  • Propose models to verify or falsify these hypotheses and develop new theoretical methods to advance the investigation.
  • Undertake departmental work, primarily as a teaching assistant for Chalmers' undergraduate and master's-level courses or performing other departmental duties.

The PhD student will be enrolled in a graduate programme in the Department of Computer Science and Engineering. This 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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