Are you passionate about working in an interdisciplinary and international team to explore the interface between computational models, complexity science, network science, and public health? Interested in joining a world-class team to explore what computational models of mental health can teach us about social network effects on individual and collective well-being? Join us at the Computational Science Lab of the Institute for Informatics at the University of Amsterdam.
Join Us!We are looking for a highly motivated PhD researcher to join a research project at the interdisciplinary intersection of computational science, complexity science, and network science to investigate computational models of how social networks interact with individual and collective well-being.
This is what you will doYou will be an integral part of our growing research team, closely involved in the design, implementation, and analysis of computational, experimental, and data-driven approaches to study how online and offline communities interact with social networks and the effects that these manifold interactions have on individual and collective time-varying indicators of social, cognitive, behavioural, and affective well-being. You will interact and coordinate with the principal investigator and other international members of the team on a regular basis, actively contributing to our research program, and publishing the results of your investigation in our community’s top-journals and conference proceedings. You will receive support and guidance throughout your path towards achieving a PhD in Computational Science at the University of Amsterdam.
What we ask of youWe are looking for a team member who has good computational skills, is an independent thinker, curious and fast-learning, and looking to develop an independent career in research.
Your experience and profile - MSc Informatics, Computer Science, Computational Sciences, Psychology, or related;
- experience in requiring funding for research projects through government agencies or the private sector;
- flexible, readiness to participate in interdisciplinary cooperation and multidisciplinary development (verifiably focused on collaboration with other disciplines);
- Professional command of English and the willingness to learn Dutch.
We prefer that you are proficient in scientific computing (Python, Matlab, R, and UNIX), have strong data processing and collection, and are familiar with the basics of machine learning and generative AI.
This is what we offer youA temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is as soon as possible. This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,059 to € 3,881 (scale P). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Promovendus is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The
Collective Labour Agreement of Universities of the Netherlands is applicable.
Curious about our extensive secondary benefits package? You can read more about it
here.You will work in this teamThe
Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The
Computational Science Lab (CSL) is one of the largest labs at the Institute for Informatics at the University of Amsterdam. It is uniquely focused on computational models to make complex systems tractable, offering an interdisciplinary environment for world-class research focused on investigating some of our world’s most pressing problems.
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the button. We accept applications until and including 15-12-2025.
Applications should include the following information (all files besides your cv should be submitted in one single pdf file):
- a detailed CV including the months (not just years) when referring to your education and work experience;
- a letter of motivation;
- a list of publications;
- the names and email addresses of two references who can provide letters of recommendation.
A knowledge security check can be part of the selection procedure (for details:
national knowledge security guidelines).
Only complete applications received within the response period via the link below will be considered.
If you have any questions or do you require additional information? Please contact: