Job offer

Are you excited to develop cutting-edge AI methods that contribute to solving global environmental challenges? Join the Department of Physical Geography at Utrecht University as a PhD candidate and help shape the next generation of geospatial modelling.

Your job Predicting ecosystem dynamics under global change requires accurate and consistent soil information at global scale. Current global soil maps are derived using empirical machine learning that often ignores known soil processes, resulting in inconsistencies across soil properties and underperformance in data-scarce regions.

This PhD project will develop next-generation machine learning methods for geospatial prediction by integrating process knowledge into modern AI tools. The research offers the opportunity to explore neural network architectures, tabular transformers or Bayes methods to include process-information into machine learning and to develop new geoAI approaches for spatiotemporal mapping usable across domains.

The project is embedded in the Computational Geography group at the Department of Physical Geography, where you will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics., In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development, various types of leave, and options for sports and cultural activities. You can also tailor your employment conditions through our Terms of Employment Options Model. In this way, we encourage you to keep investing in your personal and professional development. For more information, please visit Working at Utrecht University. Selection process

As Utrecht University, we want to be a home for everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.

Knowledge security screening can be part of the selection procedures of academic staff. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology.

The interviews will take place on 17 and 18 September 2026. The first round of interviews may be held online via MS Teams. The preferred starting date is to be agreed upon mutually.

To apply, please send your curriculum vitae, including a letter of motivation, via the 'apply now' button.

Note that international candidates that need a visa/work permit for the Netherlands require at least four months processing time after selection and acceptance. This will be arranged with help of the International Service Desk (ISD) of our university. Finding appropriate housing in or near Utrecht is your own responsibility, but the ISD may be able to advise you therewith. In case of general questions about working and living in The Netherlands, please consult the Dutch Mobility Portal.

If you have an international (not-Dutch) Master-diploma you will be requested to send your BSc- and MSc-diplomas and gradelists (in English). Additional comments

• You hold a MSc (or near completion) in data science, statistics, applied mathematics, numerical oriented geosciences, or related field with strong quantitative focus;
• Strong background in machine learning methods such as neural networks and transformers;
• Knowledge on handling large scale datasets;
• Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis;
• Familiarity or interest to dive into environmental or soil science applications and hybrid modelling (process-informed machine learning);
• Strong interest in interdisciplinary scientific challenges at the interface of domain knowledge and data science and collaboration in a multidisciplinary team;
• Excellent English oral and writing skills.

• a position (1.0 FTE) for 1 year, with an extension to a total of 4 years upon a successful assessment in the first year, and with the specific intent that it results in a doctorate within this period;
• a working week of 36 - 40 hours and a gross monthly salary between € 3.059 and €3.881 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU));
• 8% holiday pay and 8.3% year-end bonus;
• a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.