PhD Candidate in Exposomics, Machine Learning and Artificial Intelligence

1 week geleden


Utrecht Oost, Nederland Universiteit Utrecht Voltijd

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.

Your qualities

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.
Our offer
  • 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.

About us

A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University, the various disciplines collaborate intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow.

At the Faculty of Veterinary Medicine we train the veterinarians and researchers of the future, provide care for animals and conduct leading and societal relevant research. That is what we are good at. We see that the health and welfare of animals, humans and the environment are interconnected. By sharing our knowledge and working together, we make positive impact, both nationally and internationally. Our 1,500 students and 950 staff members inspire and strengthen each other. Our engagement connects us. The drive to, from an integral perspective, make the world a better place.

You will be based at the Institute for Risk Assessment Sciences (IRAS), working within the One Health Chemical research line, led by Professor Roel Vermeulen. This multidisciplinary research line brings together several interconnected groups, including Occupational Health, Environmental Health, Planetary Health, Exposure Science, and the Data Science & Exposome Group, the latter of which is where this position will be located.

Our mission is to advance education and cutting-edge research to unravel the complex interactions between environmental factors—including chemical, social, physical-chemical, and lifestyle risk factors—and their effects on human and planetary health. By integrating multiple disciplines, we aim to transform scientific knowledge into actionable tools, insights, and solutions that promote sustainable well-being for individuals, communities, and ecosystems.

IRAS is an interfaculty research institute spanning the Faculties of Veterinary Medicine and Medicine. It is dedicated to education and research on the human and environmental health risks associated with exposure to potentially harmful agents. Our research is structured around three core domains: Toxicology, Environmental Epidemiology, and Veterinary Public Health.

More information

For more information, please contact dr. Chris Thio at or dr. Natalia Vilor-Tejedor at

Candidates for this vacancy will be recruited by Utrecht University.

Apply now

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.

If you are enthusiastic about this position, just apply via the 'apply now' button. Please enclose:

  • your motivation letter;
  • your curriculum vitae;
  • the names, telephone numbers, and email addresses of at least two referees.


  • Utrecht Oost, Nederland Universiteit Utrecht Voltijd

    **Your job**: You will become skilled in developing hypotheses and analysing large scale datasets, publishing in peer-reviewed scientific journals, and presenting your work at conferences. In addition, the CHAMP project offers opportunities to develop yourself in terms of interdisciplinary research, societal impact, outreach, and open science. Your work...


  • Utrecht Oost, Nederland Universiteit Utrecht Voltijd

    Are you passionate about applying AI and Data Science to model and understand real-world challenges? Do you enjoy exploring and formally analyzing aspects of human reading and related cognitive tasks? Join us and contribute to an exciting multidisciplinary research project that strives to create meaningful social impactYour jobThe digital era has profoundly...

  • Medior/Senior AI Engineer

    2 weken geleden


    Amsterdam Oost, Nederland TKH ARTIFICIAL INTELLIGENCE B.V. Voltijd

    About TKHTKH Group stands at the forefront of automation technology, specializing in high-end vision systems and advanced automation machinery. Our strategic focus on Automation and Electrification positions us to deliver transformative, client-centric solutions across global high-growth markets. The TKH Smart Software and Artificial Intelligence Hub serves...

  • Working Student

    5 dagen geleden


    Amsterdam Oost, Nederland TKH ARTIFICIAL INTELLIGENCE B.V. Voltijd

    **About Us** TKH group is a leading technology company with a focus on creating innovative and client-centric technology systems in high-growth markets. The TKH AI hub is a new initiative from the TKH group that focuses on solving complex AI challenges for around 60 companies within the TKH group. **About the Role** As a working student at TKH AI, you...


  • Utrecht, Nederland Balanz-Energy Voltijd

    We are seeking a Senior Machine Learning Engineer with deep expertise in time-series forecasting, weather modeling, and renewable energy prediction. The ideal candidate will combine strong applied ML knowledge with robust software engineering practices to design, deploy, and optimize forecasting pipelines that drive key business and operational decisions....


  • Utrecht, Nederland Balanz-Energy Voltijd

    We are seeking a Senior Machine Learning Engineer with deep expertise in time-series forecasting, weather modeling, and renewable energy prediction. The ideal candidate will combine strong applied ML knowledge with robust software engineering practices to design, deploy, and optimize forecasting pipelines that drive key business and operational decisions....


  • Utrecht, Nederland Balanz-Energy Voltijd

    We are seeking a Senior Machine Learning Engineer with deep expertise in time-series forecasting, weather modeling, and renewable energy prediction. The ideal candidate will combine strong applied ML knowledge with robust software engineering practices to design, deploy, and optimize forecasting pipelines that drive key business and operational decisions....


  • Utrecht, Nederland Balanz-Energy Voltijd

    We are seeking a Senior Machine Learning Engineer with deep expertise in time-series forecasting, weather modeling, and renewable energy prediction. The ideal candidate will combine strong applied ML knowledge with robust software engineering practices to design, deploy, and optimize forecasting pipelines that drive key business and operational decisions....

  • Machine Learning Engineer

    2 dagen geleden


    Utrecht, Nederland Empiric Voltijd

    Machine Learning Engineer / Full-stack Developer with Python Start: asap We are looking for a Machine Learning Engineer / Full-Stack Python Developer with strong MLOps, cloud-native, and backend engineering skills. The ideal candidate has experience in Python, MLFlow, Kubernetes, API development, data pipelines/ETL, and deploying AI models into production....


  • Utrecht Oost, Nederland Universiteit Utrecht Voltijd

    Are you fascinated by the emergence of intelligence in materials? Join our interdisciplinary research team at Utrecht University to explore how simple building blocks can exhibit learning behavior. This fully-funded PhD position offers a unique opportunity to work at the forefront of physics, materials science, and computation. **Your job**: The Emergence...