项目介绍

2025年4月3日

Are you fascinated by the complex ways our social environments shape health? Do you want to develop cutting-edge methods to measure social networks at a population scale? This PhD position offers a unique opportunity to bridge social epidemiology, exposome research, and data science, pioneering new ways to understand how social exposures influence health over a lifetime.

Your job

Environmental exposures, such as pollution and green space, are well-documented health determinants, but social environments remain largely overlooked in exposome research. However, social relationships profoundly impact health. Traditional methods for studying social environments, such as surveys, provide valuable insights but lack scalability; a significant limitation for exposome research involving millions of individuals. Emerging methods using population-scale microdata now allow us to construct large-scale models of social opportunity structures, offering a promising new avenue for understanding social determinants of health. However, their potential remains untapped in exposome research.

This PhD project aims to fill this gap by developing and validating scalable, data-driven social network models to revolutionise how we measure social exposures in health research. You will be at the forefront of an innovative and interdisciplinary research project exploring how person-level opportunity structures for social interactions can serve as proxies for social networks and how they impact health. Your work will contribute to a groundbreaking methodological framework for modeling social exposures on a massive scale.

You will be teaching in courses of Human Geography and Spatial Planning external link for about 10% of your time.

Has this sparked your interest? We invite you to apply for our fully funded, full-time, four-year PhD position within the Exposome-NL Gravitation programme external link.

Your qualities

You are a motivated and proactive colleague who:

• has a Master’s degree in (Computational) Social Sciences, Data Science, or a related discipline (e.g., sociology or human geography) by the start of the position;
• has proven experience in working with large datasets and quantitative methods;
• can conduct academic research at the highest level both independently and collaboratively in a team;
• is fluent in English (C1 level) and has excellent communication skills;
• is well-versed in statistical programming languages, such as R or Python;
• (ideally) has gained some experience in writing scientific publications.

Our offer

• A position for one year, with an extension to a total of four years upon successful assessment in the first year;
• a working week of 38 hours and a gross monthly salary between €2,901 and €3,707 (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.

Utrecht University’s Faculty of Geosciences external link studies the Earth: from the Earth’s core to its surface, including man’s spatial and material utilisation of the Earth – always with a focus on sustainability and innovation. With 3,400 students (BSc and MSc) and 720 staff, the faculty is a strong and challenging organisation. The Faculty of Geosciences is organised in four Departments: Earth Sciences, Human Geography & Spatial Planning, Physical Geography, and Sustainable Development.

More information

You will be supervised by Dr Rense Corten external link, Dr Gerald Mollenhorst external link, and Dr Marco Helbich external link.

For more information about this position, please contact Dr Marco Helbich at m.helbich@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 the following documents via the ‘apply now’ button:

• your motivation letter of max. one page in which you describe your motivation for this position, how your experience is relevant to the position, and how you can contribute to the project;
• your full curriculum vitae with detailed academic records and qualifications and the names and contact details of two referees whom we may contact;
• an official transcript of your grades during the Bachelor’s and Master’s studies as well as the diplomas;
• an example of your writing (e.g., a publication or your Master’s thesis).

Only complete applications received within the response period will be considered. Applications submitted via email will not be considered. Interviews will be conducted at the end of May or early June 2025. The intended starting date is 1 September 2025.

The application deadline is 15 May 2025.