Postdoc position ”REMAX: Rigorous Evaluation Methods for AI Explainability" at Computer Science, Aarhus University

Employment type: FULLTIME. Requisition: 3104531.

Ansøgningsfrist

• 30. sep.
• 23:59 CEST Forventet start 1. dec.
• Institut for Datalogi Åbogade 34 8200 Aarhus N Tidsbegrænset fuldtidsstilling 1. dec.
• 2026 - 30. nov.

2028 ID

166938 Søg stillingen The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between computer science and philosophy. The REMAX project on Rigorous Evaluation Methods for AI Explainability, funded by a Villum Synergy grant, aims to create methods for explainable AI and their rigorous evaluation.

It is a collaboration between the Department of Computer Science and the Centre for Science Studies at Aarhus University, Denmark. The position is available from 1 December 2026, or as soon as possible thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI models.

However, rigorous methods for evaluating XAI algorithms are currently lacking. This is in large part due to a gap between how explainability is evaluated within computer science and philosophy. In computer science, explainability is mainly evaluated through data-driven metrics1 …