Job offer

Do you want to develop predictive models that integrate omics and environmental data, advancing the field of precision prevention? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD candidate in Exposomics, Machine Learning and AI!

Your job In this PhD project, you will design and apply innovative computational approaches, such as graphical models, penalised structural models, and large language models (LLMs), to investigate associations between disease outcomes and complex, high-dimensional, time-varying exposure data. You will integrate rich exposome datasets with multiple omics layers (including genomics, proteomics, metabolomics, and microbiomics) to uncover how environmental factors shape human health at the molecular level.

You will collaborate closely with leading experts in epidemiology, omics, and environmental health within the Gravitation program Exposome-NL, a national research consortium that brings together more than fifty scientists from diverse disciplines and institutions across the Netherlands.

You are an enthusiastic and collaborative researcher with:

• a Master's degree in Data Science, Statistics, (Computational) Epidemiology, Bioinformatics or a related field;
• demonstrated expertise in programming and quantitative data analysis in R/Python;
• a strong interest in high dimensional omics and exposome research;
• excellent collaboration, reporting and presentation skills;
• proficiency in written and spoken English.

Candidates with the following skills are especially encouraged to apply:

• experience with machine learning or AI pipelines;
• familiarity with high-performance computing environments.

• A position for one year, extended to four years upon a positive evaluation during the first year;
• a working week of 38 hours and a gross monthly salary between €3,059 and €3,881 (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.

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.