Open positions

PhD studentship on Fairness-aware Machine Learning

The Data Mining group at the Leibniz University Hannover and L3S Research Center is looking for strong candidates for a fully-funded PhD position on fairness-aware machine learning. The position is associated with the newly funded Volkswagen Foundation project BIAS (Bias and Discrimination in Big Data and Algorithmic Processing: Philosophical Assessments, Legal Dimensions, and Technical Solutions).

The successful candidate will be primarily supervised by Prof. Dr. Eirini Ntoutsi; close collaboration with project partners (CS, law, philosophy) is expected.

Position description

The goal of the project is to develop methods and algorithms for detecting and mitigating bias in machine learning models, based on sensitive characteristics, such as gender, race, religion, physical ability and sexual orientation. The focus will be on temporal/ stream models and feedback loops.

The salary amounts to German TV-L E13, which is roughly 40.000 to 50.000 Euro gross income per year.

Candidate requirements

To be eligible for the position, the candidates should have an MSc degree in computer science (or a closely related field).

Applicants should have a strong background in computer science including data structures and algorithms, a solid background in data mining/ machine learning, excellent programming skills, team work capacity and ability to meet deadlines.

Experience with fairness aware machine learning and/or streaming data/ temporal data will be a plus.

How to Apply

Interested candidates should email Prof Dr Eirini Ntoutsi (ntoutsikbs.uni-hannover.de) a single pdf file with all supporting documents (CV, university degrees, grades transcripts, motivation letter, referees) and mention their possible start date. We will start reviewing applications immediately, and continue until the position is filled.