PhD Position, University of Luxembourg

The Individual and Collective Reasoning group (ICR, Department of Computer Science, Faculty of Science, Technology and Medicine, University of Luxembourg) led by Prof. Leon van der Torre invites applications for a

1 PhD student (doctoral candidate) in Explainable Artificial Intelligence


Duration: 40 months contract, full-time (40h/week); extendable up to 48 months if required
Start: Early 2023 (flexible).

Your Role :


The selected applicant will be integrated into AI Robolab led by Prof. Leon van der Torre. The applicant will be a member of the Doctoral School in Science and Engineering (DSSE), which offers a doctoral programme in computer science that aims to provide interdisciplinary and internationally competitive research training. The candidate is one of 18 PhD students within D4H and will work within the FNR-funded research training group “Deep Data Science of Digital History”. This interdisciplinary DTU focuses on various challenges at the interface between the disciplines of history, AI, data science and human-computer interaction. D4H involves the Centre for Contemporary and Digital History (C²DH) of the University of Luxembourg, the Department of Computer Science of the Faculty of Science, Technology and Medicine (FSTM), the Institute of History (IHIST) of the Faculty of Humanities, Education and Social Sciences (FHSE), the Luxembourg Institute of Science and Technology (LIST) and the Institute of Socio-Economic Research (LISER). For a detailed description of the conceptual framework of D4H, the training program, and the list of potential PhD topics see:


Your Mission :


• Write a PhD thesis in the field of Explainable Artificial Intelligence with an application focus on Digital History
• Participate at D4H training activities and research workshops
• Write research papers and publication of peer-reviewed journal articles
• Participate in public history and outreach activities
• Limited teaching activity of 2h per week

What we expect from you

• Master’s degree in Computer Science, Artificial Intelligence, Digital Humanities, or an equivalent discipline
• Proven experience via academic publications or personal projects in the field of Explainable Artificial Intelligence, Multiagent systems and Machine Learning
• Communication skills that enable you to work across the D4H disciplines
• Languages: Excellent commandment of English is a must. Knowledge of French or German is considered as a plus


In Short :


• Contract Type: Fixed Term Contract 40 Month (extendable up to 48 months if required)
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval
• Employee and student status


How to apply :


Please send the following documents in PDF and in one file (points 1 – 4 in English language):
• Your research proposal (max. 2 pages, including references – Time New Roman 12pt) of a multi-disciplinary research topic that fits into one of the three thematic research pillars of D4H; see
• Motivation letter (max. 1 page)
• Curriculum Vitae
• List of publications and a 1-page summary of your Master Thesis
• Master’s diploma
• Name and email of 2 independent referees who could provide a letter of recommendation if needed

Only complete applications will be considered. The University of Luxembourg is an equal opportunity employer. All applications will be treated in the strictest confidence.

In return you will get
• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR).
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure.
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs,….

Further information
For more information, please contact Prof. Dr Leon van der Torre (

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