Doctoral fellow

Last application date
Mar 08, 2026 23:59
Department
RE23 - Department of Criminology, Criminal Law and Social Law
Degree
• A Master’s degree in artificial intelligence, computer science, data science, statistics, engineering, applied mathematics, economics, sociology, psychology, criminology, safety sciences or a related field
Occupancy rate
100%
Vacancy type
Research staff

ABOUT GHENT UNIVERSITY

Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most exciting employers in the area and offers great career opportunities.

 

With its 11 faculties and more than 85 departments offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students.

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YOUR TASKS

Are you interested in artificial intelligence in its broadest sense, and do you want to apply AI techniques to one of the most challenging and socially relevant domains: crime and security? Do you want to work on AI systems that must operate under uncertainty, incomplete information and strategic behaviour?

 

The European Research Council (ERC) has awarded a prestigious Consolidator Grant to Prof. dr. Wim Hardyns (Department of Criminology, Criminal Law and Social Law, Ghent University). Within the ERC-funded BIGDATPOL project (www.bigdatpol.com), we are looking for a doctoral researcher with a strong interest in AI-driven analysis, modelling and decision support.

 

Crime and security constitute a demanding testbed for AI. Data are often heterogeneous, noisy, incomplete or strategically manipulated, while AI systems are expected to support high-stakes decision-making in real-world contexts.

 

The BIGDATPOL project explores how artificial intelligence techniques can be used to analyse, model and interpret crime-related phenomena across European cities. The project explicitly embraces a broad AI perspective, including (but not limited to):

  • machine learning and statistical learning
  • computer vision and sensor-based data analysis
  • natural language processing and large language models
  • hybrid, interpretable and human-centred AI approaches

 

The focus lies on scientific innovation, interpretability and societal responsibility, rather than on narrow, purely technical optimisation.

 

As a doctoral researcher, you will:

  • Develop and evaluate AI-based models and methods for analysing crime-related data
  • Explore AI approaches for risk modelling, pattern recognition and anomaly detection
  • Contribute to interpretable and transparent AI solutions for complex decision environments
  • Work with diverse data sources, including spatial, temporal, textual and sensor-based data
  • Collaborate in an interdisciplinary team and interact with public and institutional partners
  • Disseminate research through international publications and conferences

WHAT WE ARE LOOKING FOR

We welcome applications from candidates (m/f/x) with:

 

Educational background

  • A Master’s degree in artificial intelligence, computer science, data science, statistics, engineering, applied mathematics, economics, sociology, psychology, criminology, safety sciences or a related field
  • Final-year Master’s students are eligible

 

AI expertise

  • Experience with or strong interest in AI methods and computational modelling
  • Affinity with one or more AI domains such as machine learning, computer vision, NLP, LLMs, explainable AI or hybrid AI
  • Willingness to work with real-world, imperfect and socially sensitive data

 

Research mindset

  • Interest in applying AI to crime, security and public decision-making
  • Curiosity about the interaction between AI, human expertise and institutional contexts

 

Personal skills

  • Analytical and independent working style, combined with team spirit
  • Strong communication skills in English (Dutch is an asset)

WHAT WE CAN OFFER YOU

  • A fully funded PhD position (6-month initial appointment, followed by a 4-year contract upon positive evaluation)
  • Research within a prestigious ERC-funded project with high scientific autonomy
  • Strong support for international publications, conferences and advanced training
  • A stimulating interdisciplinary environment at the intersection of AI and social sciences
  • Competitive salary and employment conditions according to Ghent University scales
  • Starting date: from 1 May 2026 (flexible)

INTERESTED?

Please submit your CV, grades for individual courses and motivation letter before 8 March 2026 (23:59 CET) to: bigdatpol@ugent.be

 

Should you have any questions regarding the position, please do not hesitate to contact us via the same email address.