Help us unravel the effects of environmental factors on immune health in children
Skills
About the role
Department of Chemical Toxicology, Norwegian Institute of Public Health
Lovisenberggata 8, 0473 Oslo
Om jobben
Lagre favoritt
Stillingstittel
Postdoktor
Type ansettelse
Prosjekt, heltid 100%
Antall stillinger
1
Arbeidsspråk
Engelsk
Søk senest mandag 31. august
3-Year Postdoctoral Research Fellow in Exposome Research and Child Immune Health
Are you interested in understanding how environmental exposures during early life influence immune development and childhood health? We are seeking a highly motivated postdoctoral researcher to join an international Horizon Europe project investigating environmental determinants of immune-mediated diseases and immune health.
The EU Horizon Europe project EXPOSIM studies environmental stressors as causal determinants for immune-mediated diseases to map and prioritise evidence for knowledge-based policy-making. Child cohorts such as PreventADALL (Norway), ENVIRONAGE (Belgium) and FEPOS (Denmark) are included to study associations between early life environmental factors and immune health.
As a partner in EXPOSIM, the Department of Chemical Toxicology at the Norwegian Institute of Public Health (NIPH) will study children from the PreventADALL cohort. Exposome components such as air pollution, green spaces and noise exposure during pregnancy will be modelled by a partner, and associations with immune health until 3 years of age will be explored.
NIPH will integrate a novel set of outcomes of respiratory and immune development. These include foetal thoracic circumference, lung function, biomarkers of asthma, allergic diseases such as atopic dermatitis and food allergy, as well as immunosuppression assessed through vaccination responses to childhood vaccines. To strengthen causality between the observed exposure-health associations, high-dimensional immune cell profiling will be performed by in-depth single-cell (mass cytometry/CyTOF) and multiplex cytokine analyses.
You will work with unique longitudinal data from the PreventADALL cohort and collaborate with leading European researchers in environmental health, epidemiology, immunology, medicine and bioinformatics. The position offers excellent opportunities to contribute to high-quality scientific publications and to develop advanced analytical skills in exposome research, immune profiling and multi-dimensional data integration.
The position starts on January 1, 2027.
Responsibilities
Analyse associations between environmental exposures and health outcomes using an exposome approach
Explore causal relationships by studying immune profiles (CyTOF) and inflammatory markers (OLINK) using supervised and unsupervised data analysis tools:
data-driven clustering, hierarchical and density-based algorithms
undirected network models for more mechanistic analyses
topological models to integrate cellular data with the other biological and clinical data
Publish scientific papers and internal reports and present scientific results at conferences
Participate in consortium meetings and present/discuss plans, status and results
Collaborate with scientists and engineers in the department and the NIPH mass cytometry platform
Qualifications
Required qualifications:
PhD in a relevant field, such as epidemiology, environmental health, immunology, medicine or bioinformatics. The thesis must have been defended.
Hands-on experience in biostatistics and/or bioinformatics in exposome modelling
Hands-on experience with R, and preferably STATA
Experience with writing and publishing scientific papers as the first author, with documented publications in the last 3 years
Good written and oral communication skills in English
Preferred qualifications:
Experience with immune-mediated outcomes and knowledge of immunology
Experience with multi-omics integration for analysis of high dimensional data, multiple testing and causal frameworks
Hands-on experience developing pipelines for single-cell analyses and/or exposome statistics
The Norwegian Institute of Public Health (NIPH) collaborates with Semac to conduct background checks on relevant candidates. Any background check will be carried out only with your consent as an applicant and involves verifying your CV and other application documents in connection with the hiring process.
Personal attributes
We are looking for someone who:
has good cooperation skills to work efficiently with multiple partners nationally and internationally.
enjoys interdisciplinary research and collaboration
is proactive, structured and capable of working independently
has strong analytical and problem-solving skills
communicates scientific results clearly
thrives in an international research environment
Personal suitability will be emphasised.
We offer
The Norwegian Institute of Public Health is a unique workplace with a significant social responsibility and plays an important role in the health and well-being of the population.
Access to unique national and international cohort data
Collaboration with leading European research institutions through the EXPOSIM consortium
Opportunities to develop expertise in exposome science, immune profiling and advanced integration of high-dimensional data
The opportunity to work alongside dedicated and highly competent colleagues who are supportive and help one another
Strong professional environments and emphasis on each employee's development and influence over their own working day
Full-time position (100%) as a Postdoctoral Research Fellow (Code 1352) for a period of three years, with a salary ranging from 730 000 - 780 000 NOK per year, based on the individual's qualifications, skills, and experience
Good pension schemes through the Norwegian Public Service Pension Fund (Statens pensjonskasse)
Flexible working hour arrangements and good employee welfare benefits, such as the opportunity to exercise during working hours
The Norwegian Institute of Public Health (FHI) aims to foster a culture of diversity, inclusion, and equal opportunities for everyone. We believe this contributes to a broader range of perspectives, increased creativity, and better decision-making. Therefore, we seek employees with diverse skills, interdisciplinary backgrounds, life experiences, and perspectives to help us solve tasks even more effectively. If you have a disability, gaps in your CV, or an immigrant background, we encourage you to indicate this in Webcruiter when applying. If there are qualified applicants within these groups, we will invite at least one candidate from each group for an interview. We provide accommodations for employees who need them. Relevant accommodations may include technical aids, adapted furniture, or adjustments to routines, work tasks, and working hours. The information provided through these selections is used to generate anonymized statistics, which all government agencies report in their annual reports.
Kontaktinformasjon
Berit Granum, Forsker, 91534811, berit.granum@fhi.no
Hubert Dirven, Forsker, +47 992 58 527, Hubert.Dirven@fhi.no
Ragnar Hovland, Avdelingsdirektør, Ragnar.Hovland@fhi.no
Arbeidssted
Lovisenberggata 8
0473 OSLO
Nøkkelinformasjon:
Arbeidsgiver: Folkehelseinstituttet FHI
Referansenr.: 5146842917
Stillingsprosent: 100%
Midlertidig
Søknadsfrist: 31.08.2026
Kontaktpersoner for stillingen
Ragnar Hovland
Avdelingsdirektør
Ragnar.Hovland@fhi.no
Hubert Dirven
Forsker
+47 992 58 527
Hubert.Dirven@fhi.no
Berit Granum
Forsker
91534811
berit.granum@fhi.no
Om bedriften
The Norwegian Institute of Public Health’s vision is better health for all. We produce, summarize and communicate knowledge for the public health sector and healthcare services. Our main activities are emergency preparedness, knowledge and infrastructure. Infrastructure comprises registries, health surveys, biobanks and laboratory services. The Institute is a government organization under the Ministry of Health. We have approximately 1300 employees located in Oslo, Bergen, Trondheim, Levanger og Tynset.
Sektor
Offentlig
Nettsted
Annonsedata
Stillingsnummer
267c69cc-9762-4ee4-b3d8-4251792c6618
Sist endret
7. august 2026
Hentet fra
talentech
Referanse
bddfd345927f4f3ab93e59e42b7837b1
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