This PhD position at Leiden University offers an exciting opportunity to advance machine learning and computer vision for fruit analysis within the Computational Imaging and Deep Learning (CIDL) group, part of the Leiden Institute of Advanced Computer Science (LIACS). The project is embedded in the NXTGen High-tech initiative, collaborating with industry leaders GREEFA and Fruitmasters to develop innovative X-ray and vision imaging technologies for industrial fruit sorting automation. The research aims to estimate physiological parameters such as eat-readiness and shelf-life of fruits at high sorting speeds, leveraging paired visible-light and X-ray images.

As a PhD candidate, you will create simulation frameworks for fruit imaging, develop fast 3D shape modelling methods, correct X-ray images for object thickness, and estimate physiological parameters using advanced machine learning techniques. The project is highly interdisciplinary, combining expertise from mathematics (inverse problems), computer science (machine learning, efficient algorithms, high-performance computing), and physics (image formation modelling). Validation will be performed on real industrial data, ensuring practical impact.

The Faculty of Science at Leiden University is renowned for its dynamic international environment and diverse research spanning artificial intelligence, computer science, mathematics, astronomy, physics, chemistry, bio-pharmaceutical sciences, biology, and environmental sciences. LIACS is recognized as one of the leading computer science departments in the Netherlands, offering a collaborative and inclusive atmosphere with clear career paths for young scientists.

Applicants must have a MSc degree in Computer Science, Artificial Intelligence, or a related field, with strong knowledge and experience in machine learning, image processing, and computer vision. Excellent programming skills (Python and/or C++), proficiency in English, and experience in academic writing are required. Candidates should be motivated to conduct both foundational and applied research, work effectively in teams, and be flexible regarding on-site collaboration with project partners.

The position offers a competitive salary (€3,059–€3,881 gross per month), holiday and end-of-year bonuses, pension scheme, full reimbursement of public transport commuting costs, flexible working hours, generous leave days, options for sabbatical or paid parental leave, hybrid working within the Netherlands, home-working allowance, and a university-provided laptop. The university values diversity and inclusiveness, supporting work/life balance and offering childcare facilities.

Applications must be submitted online by 20 February 2026, including a motivation letter, CV, publications/projects (with GitHub link if available), contact details of two referees, MSc transcript, and (draft of) MSc thesis. The selection process will occur in February/March 2026, with interviews for shortlisted candidates. For research inquiries, contact Prof. Joost Batenburg at [email protected]. For application procedure questions, email [email protected].