项目介绍

2024年5月9日

Would you like to understand how endocrine disruptors affect human health? Are you passionate about metabolomics? Then a PhD position at the One Health Chemical group of the Institute for Risk Assessment Sciences (IRAS) might be just for you! We are offering an exciting PhD position to investigate the health effects of endocrine disrupting chemicals (EDCs) on multimorbidity, with a focus on metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic and immune related diseases.

Your job

In this project you will combine two approaches to better understand through which mechanisms exposure to EDCs impacts health:

1. You will integrate High-Resolution Mass Spectrometry (HRMS)- based measurements of EDCs, biological effects, MASLD, and disease phenotypes (Obesity, Type-2-diabetes) collected in European population studies.
2. You will apply multivariate statistical models and AI-assisted knowledge graphs to guide the interpretation of the HRMS data.

Your position will be nested within two large-scale European projects: EDC-MASLD external link and ENDOMIX external link.

You will publish your work’s findings as papers in peer-reviewed scientific journals. These papers will form the basis of your PhD thesis. In addition to the (international) partners within the EDC projects, you will collaborate closely with PhD candidates within the toxicology and epidemiology groups at IRAS.

Your qualities

It is important that you feel at ease working in a multidisciplinary environment and that you are good at working in a team. Furthermore, you are enthusiastic, ambitious, an independent thinker, and have excellent writing skills. The nature of the position allows for diverse backgrounds, which include biology, chemistry, chemometrics, epidemiology, bioinformatics, statistics, computational epidemiology, or a related discipline. Affinity with OMICs data analysis is valued, and any experience with Large Language Models is considered valuable. You have experience with programming (e.g. R, Matlab, Python). Most importantly: you are willing to learn.

Candidates with the following skills are especially encouraged to apply:

• experience in statistical analyses (e.g. R, Matlab, Python);
• some experience with (OMICs) data analysis and/or Chemometrics and/or machine-learning, or willing to learn;
• a strong motivation to work in a multidisciplinary international research team;
• willingness to learn about large language models;
• excellent collaboration and communication skills (written and spoken).

Our offer

We offer:

• a position for four years in an international working environment.
• a working week of 32-40 hours and a gross monthly salary ranging from €2,770 in the first year to €3,539 in the fourth year 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. 

In addition to the terms of employment external link laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating professional development external link, leave schemes and schemes for sports and cultural activities external link, as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University external link.

About us

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

The Institute for Risk Assessment Sciences external link (IRAS) is an interfacultary research institute within the Faculties of Veterinary Medicine and Medicine. Our mission is to provide education and research on the human and environmental health risks of exposure to potentially harmful agents in the environment where research takes place within the domains Toxicology, Environmental Epidemiology and Veterinary Public Health.

More information

This project is supervised by Dr Vlaanderen external link, Dr van Vorstenbosch external link and Professor R.C.H. Vermeulen external link. If you have any questions, please contact r.w.r.vanvorstenbosch@uu.nl.

Candidates for this vacancy will be recruited by Utrecht University.

Apply now

As Utrecht University, we want to be a home external link 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.

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

The application deadline is 1 June 2024.