Two Post Doc Announcements in Infectious Disease Dynamics

Thanks to financial support from The Swedish Research Council and Carl Tryggers Stiftelse, The Department of Mathematics at Stockholm University is happy to announce two separate but closely related post doc positions. Mentor for both positions is professor Tom Britton (tom.britton at math.su.se).

The first announcement is a position for 2+1 years (evaluated before the third year) directed towards statistical methodology of infectious disease dynamics, financed through support from The Swedish Research Council. The second announcement is a 2 year Post Doc fellowship directed towards modelling of infectious disease dynamics, financed through support from Carl Tryggers stiftelse. It is certainly possible to apply for both – but then two submissions are required.
Both announcements have deadline Thursday January 15, 2026. The starting time for both is September 1, 2026 or earlier. A PhD is not required at the time of application but has to be awarded prior to starting time.

For both announcements the application should contain:

• Cover letter
• Research plan (Maximum 3 pages): here you can describe your past and ongoing research, and if you have some future research plans.
• CV including list of publications and contact details of applicant (Maximum 2 pages)
• Copy of PhD exam (in case completed
• Names and contact details of 1-3 reference persons and their relation to applicant
  

The application may also contain 1-2 letters of recommendation.

For the first (inference) position these documents should be uploaded separately on the application website. For the second (modelling) fellowship everything should be merged into one pdf-document and submitted to the e-mail address listed below.

For additional questions regarding the announcements, contact Tom Britton (tom.britton at math.su.se).

Post Doc Position in Infectious Disease Dynamics Inference

This position will mainly be directed to statistical methodology and modelling for infectious disease outbreak data, for example improving estimation methods for R_t using the renewal equation, but also other topics will be considered.

Apply here: https://su.varbi.com/en/what:job/jobID:880739/

Deadline: January 15 (23.59), 2026.

Post Doc fellowship in Infectious Disease Dynamics Modelling

This fellowship is quite free as long as it involves modelling of infectious disease dynamics, preferably using stochastic methodology. Possible research projects include analysing effects of various heterogeneities in the community.

The stipend is 360 000 SEK per year (which should also cover travel expenses to conferences). The stipend is tax-free. The stipend is meant to exclusively be used for research (and therefore does not require, nor gives the possibility, to teach).

Send the application to PostDoc-InfDisDyn-Apply@math.su.se. Write “Post Doc Application by”, followed by your name in the Subject line.

Deadline: January 15 (23.59), 2026

Background to both announcements

The Department of Mathematics at Stockholm University has around 40 faculty staff members, divided into three divisions: Mathematics, Mathematical Statistics and Computational Mathematics, and about 50 PhD students and Post Docs. The division of Mathematical statistics performs research in e.g. discrete probability, high dimensional statistics and actuarial science, beside infectious disease modelling. The research group in infectious disease modelling usually consists of 3-5 people.

The Department of Mathematics and its division for Mathematical statistics is an internationally strong research environment. The research group on Infectious Disease Modelling has several international collaborations, and also close ties with The Karolinska Institutet, The Swedish Public Health Agency and The European Centre for Disease Control and Prevention (located in Stockholm).

It is considered an advantage if the doctoral degree or an equivalent degree was completed no more than five years prior to the application deadline (excluding sick-leave and similar).

In the appointment process, special attention will be given to research skills described in the fields above. Suitable competences include probability theory and stochastic processes, epidemic models, statistical methodology for epidemic outbreak data, simulation and statistical analyses using suitable software, good communication skills and ability to collaborate.