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  3. PhD candidate - Measuring the General External Exposome 1: Addressing the Uncertain Geographic Context (1.0 FTE)

PhD candidate - Measuring the General External Exposome 1: Addressing the Uncertain Geographic Context (1.0 FTE)

Utrecht University's Faculty of Geosciences is looking for a PhD candidate. Are you interested? Then please read the full profile and apply.

11 dagen geleden


Domplein, Utrecht, Utrecht
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
36 - 40 uur
€ 2325 - € 2325 per maand


Background The physical and social environments we live in have significant impacts on our health. They contribute to about 70% of the world’s chronic disease burden. Since many aspects of our environment are modifiable, this provides a huge potential for disease prevention. Leading scientists in Europe and the USA have formalized this perspective as the Exposome concept. The Exposome comprises aspects of the built environment, the social environment, the physicochemical environment, and people’s lifestyle.
To study the Exposome, we need to examine both the multitude of interrelated individual exposures, the wider behavioral and social context in which these exposures occur, and their impact inside the human body. The external Exposome encompasses the context in which humans spend time, move through, and in which behaviors take place and, eventually, which impacts human health. Uncovering individuals’ Exposome will thus require capturing the dynamics of environmental exposures at the individual level along people’s daily movement over long periods of time. This will require a combination of several advanced geospatial technologies, such as GPS tracking, mobile sensors, and geospatial big data. Through deploying advanced geospatial methods and data, this part of the Exposome NL project focuses on measuring the general external Exposome by developing and validating methods not only for obtaining detailed data about environmental factors like pollutants and psychosocial stressors but also for assessing their health impacts while addressing significant methodological issues.

Job description
To address the need to correctly integrate the environmental context in space-time for health impact assessments, this part of the Exposome NL project aims to develop theories and methods to assess people’s daily and life-long exposures more accurately. The major research tasks include:
  1. Development of methods for delineating contextual units that more accurately capture the individual external Exposome. To assess the effectiveness of these methods, a GPS dataset will be collected in the panel study serving as a benchmark and for comparing results obtained from the cohort and panel data. Specific tasks include:
    1. to compare the geographic extents of different contextual units (including their sizes and time-weighted sizes), and
    2. to compare the effects of using different contextual units on the levels of the external Exposome and its health effects.
  2. Development of a toolkit of algorithms to accurately measure and assess the external Exposome and relating it to health outcomes. This part of the project will develop a suite of geocomputational and geovisualization methods for:
    1. analyzing and visualizing complex and high-resolution space-time data of individual movement and air pollution concentrations,
    2. delineating different contextual areas, deriving contextual variables, and comparing the effects of using different contextual units on the levels of exposure to air pollution and its health effects,
    3. incorporating the scaling-up metrics and methods developed in the study for wide dissemination.
  3. Examination of the relationships between the general external Exposome and various health outcomes and diseases, including cardiometabolic and food-related health outcomes.
  4. Another important task is to help the main group to develop data collection instruments and survey questions and help to link this part of the Exposome NL project with the other parts of the project.


We are looking for a passionate candidate with a strong motivation to pursue a PhD-degree, who:

  • has a degree in health science, geographic information science, geography, or related disciplines by the time of appointment;
  • has proven interest in and enthusiasm about the outlined research topics and methods;
  • is well versed in quantitative data analytics (e.g., in R) and geographic information systems;
  • has good knowledge in conducting a survey and is familiar collecting GPS data;
  • is proficient in both spoken and written English and have excellent communication skills.


We offer a temporary position (1.0 FTE), initially for one year with extension to four years in total upon a successful assessment in the first year, and with the specific intent that it results in a doctorate within this period. The gross salary ranges between €2,325 and €2,972 (scale P according to the Collective Labour Agreement Dutch Universities) per month for a full-time employment.
Salaries are supplemented with a holiday bonus of 8% and a year-end bonus of 8.3% per year. In addition, Utrecht University offers excellent secondary conditions, including an attractive retirement scheme, (partly paid) parental leave, the choice for a good balance between work and private (a good arrangement for leave, among other things), possibilities for development and flexible employment conditions (multiple choice model). More information about working at Utrecht University can be found here.

Additional information

For more information about this position, please contact: Dr Marco Helbich (Associate Professor), via m.helbich@uu.nl


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