PhD Fellow in AI Fairness & ML Theory

Universitetet I Oslo; Oslo; Hybrid; NOK 551,000 - 595,000; Full time

Benefits offered by this job

Pension scheme

Family-friendly Oslo location

Job summary

The University of Oslo invites applications for a PhD Research Fellow in fairness in artificial intelligence within the SCML group in the Department of Informatics, at Blindern, Oslo.

The fellowship lasts three years with possible extension to a fourth year for teaching and research assistance; security-eligible as required by UiO policies. The project will explore formal definitions and metrics of fairness in AI systems under supervision by Anne-Marie George.

Qualifications

• Master’s degree in informatics/computer science or related field (M.Sc.-level)
• Machine learning competence at Master level
• Documented programming skills
• Three mathematics/statistics courses with grade B or better
• Fluent oral and written communication skills in English

Responsibilities

• Conduct research on fairness in AI and ML, defining, measuring, and reconciling different notions of fairness.
• Investigate theoretical relationships between fairness definitions and their trade-offs.
• Collaborate with the SCML research group and supervisor Anne-Marie George to shape project scope and directions.

Skills

Independent work

Team collaboration

Analytical thinking

English communication

Python

Education

Master’s degree in informatics/computer science/related field

Master level machine learning competence

Documented programming skills

Three math/statistics courses with grade B or better

Fluent English communication

Tools

Python

Job description

The University of Oslo invites applications for a PhD Research Fellow in fairness in artificial intelligence within the SCML group in the Department of Informatics, at Blindern, Oslo.

The fellowship lasts three years with possible extension to a fourth year for teaching and research assistance; security-eligible as required by UiO policies. The project will explore formal definitions and metrics of fairness in AI systems under supervision by Anne-Marie George.