Lund University, Faculty of Medicine, Dep. of Laboratory Medicine, Lund

Lund University was founded in 1666 and is repeatedly ranked among the world’s top universities. The University has around 47 000 students and more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Description of the workplace

The research network PREPARE, located at the Department of Laboratory Medicine within the Faculty of Medicine, conducts research on improved preparedness for future pandemics and other health crises. Our research group is interdisciplinary and spans several faculties at Lund University We have close collaborations with other universities in Sweden, including Umeå, Stockholm and Halmstad. We are also part of a national network around epidemiological modeling and collaborate with other researchers both in the Nordics and internationally.

The research network is led by Jonas Björk, professor of epidemiology, and Malin Inghammar, associate professor of infection medicine. With funding from eSSENCE, a strategic collaborative research program in e-science, we now aim to further strengthen our group with a postdoctoral fellow in epidemiological modelling.


What we offer

Lund University is a public authority, which means that you will have special benefits, generous annual leave and an advantageous occupational pension. We also have a flexitime agreement that creates good conditions for work/life balance. Read more on the University’s website about being a Lund University employee.


Work duties and areas of responsibility

Your primary research task will be to develop analytical approaches to more rapidly and accurately identify, monitor, and manage health risks in society, such as a pandemic disease. Through a collaboration with the SWECOV research program at Stockholm University,, we can apply for access to a unique data infrastructure comprising of individual-level syndromic surveillance data from the health advisory service 1177 linked with other register data together with data on mobility patterns. As part of the project, you will implement a variety of approaches for identifying disease transmission trends, as well as evaluating the impact of public health interventions.

You will be working independently but under supervision and in close collaboration with other researchers. As part of our research network, you will participate in the discussions of emerging research topics and the development of new research studies. You will also be expected to publish articles in scientific journals, contribute to conferences and assist in other research tasks within our research network. There is also the opportunity to participate in teaching in your area of expertise.


Qualification requirements

To qualify for the position, the applicant must have a PhD or an international degree deemed equivalent to a PhD, within the medical or natural sciences (preferably in epidemiology, computational biology or biomathematics), completed no more than three years before the date of employment decision. Under special circumstances, the doctoral degree can have been completed earlier.



The requirements for the position are:

- Doctoral degree with specialization in epidemiology, computational biology, biomathematics, public health or another related field.

- Research experience in epidemiology, including epidemiological modelling of infectious diseases or similar type of modelling.

- Ability to conduct independent research at advanced level.

- Very good knowledge of spoken and written English.

- Good analytical skills.

- High motivation and good ability to collaborate in a multi-disciplinary research environment.


Additional qualifications for the position are:

- Experience in working with population data linked with register data.

- Experience in analyzing large amounts of data from different sources.

- Very good programming skills

- Experience in applied AI and machine-learning methods.

- Good knowledge of spoken and written Swedish.


Research expertise is the foremost criterion for employment. The evaluation of applicants will take account of their research profile, experience and knowledge.


Further information

The employment is time-limited to 2 years full-time. The employment is time-limited according to the agreement, "Agreement on limited-time employment as postdoctoral researcher-2022-02-01". Start date is 2024-08-01 or according to agreement.

How to apply

You apply for the position via the University’s recruitment system. The application is to include a personal letter describing how you meet the qualification requirements and why you are interested in the position. The application is also to include a CV with a list of publications, a general description of previous research work, a copy of your doctoral degree and any other documents to which you wish to draw attention (copies of degree certificates, grade transcripts, details of referees, letters of recommendation, etc.)


Type of employment Temporary position
Contract type Full time
First day of employment 240801 or as agreed
Salary monthly salary
Number of positions 1
Full-time equivalent 100
City Lund
County Skåne län
Country Sweden
Reference number PA2024/1963
  • Jonas Björk, +46462226916
  • Dominik Dietler, +46793361002
Union representative
  • OFR/ST:Fackförbundet ST:s kansli, 046-2229362
  • SACO:Saco-s-rådet vid Lunds universitet,
  • SEKO: Seko Civil, 046-2229366
Published 31.May.2024
Last application date 15.Jun.2024 11:59 PM CEST

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