Postdoc Position in Mathematical Modeling of Infectious Disease Mechanisms
Postdoc Position in Mathematical Modeling of Infectious Disease Mechanisms at the University of Tromsø (UiT) and Yale School of Public Health (YSPH)
A 3-year postdoctoral position is immediately available in the Infection Biology group of Dr. Sören Abel, NCMM Young Associated Investigator at the University of Tromsø, Norway and Visiting Assistant Professor of Medicine, Harvard Medical School. While the primary location is in Tromsø, the candidate is expected to spend up to a year at Yale School of Public Health (YSPH) in New Haven, CT, USA in the group of our collaborator, Dr. Virginia Pitzer.
Area of research and project
The Infection Biology group studies the mechanisms that allow pathogens to adapt to the different environmental conditions that they encounter during infection and transmission. Our primary focus is Vibrio cholerae, the causative agent of the severe diarrheal disease cholera, and how it spreads in single hosts and host populations.
The goal of the project is to analyze and evaluate experimental data on the relationship between the size of the infectious dose, disease transmission and severity in animal models; then use this data to inform epidemiological models of cholera transmission in human populations to theoretically evaluate interventions.
The project is embedded in a dynamic and multi-disciplinary environment. The experimental work will be performed in the lab of Dr. Abel. The theoretical analysis of the experimental data will be supervised by Dr. zur Wiesch at the University of Tromsø and Dr. Pitzer at Yale. Finally, the implementation of results into public health policy will be performed in collaboration with the Domain of Infection Control and Environmental Health,Norwegian Institute of Public Health represented by Dr. Dahle.
For examples of recent work relevant to the project see: Abel et al. (2015) PLOS Pathogens, Abel et al. (2015) Nature Methods, Lewnard et al. (2016) PLOS Medicine, zur Wiesch et al. (2015) Science Translational Medicine and visit our webpage.
We seek candidates that appreciate working in an international and interactive environment, are highly enthusiastic about basic research with medical applicability, and are motivated and willing to integrate in a young team of researchers. You should have a strong background in Bioinformatics, Mathematical Modeling or Quantitative Biology. In addition, sound knowledge in computer programming, and the ability to write your own code in a flexible programming language like R, MATLAB, Python, C++ is required. Specifically, experience with the analysis of next-generation sequencing data and epidemiological models are beneficial. Knowledge in experimental microbiology and/or animal models is an advantage.
Good command of English and scientific writing skills are required.
Applicants for the position must have a doctoral degree in a field related to the research project.
We offer the unique opportunity of being embedded in several scientific environments at the University of Tromsø, Yale, and the Norwegian Institute of Public Health. We strongly encourage career development beyond the authorship of research manuscripts arising from this work, including travel for conferences and collaborations.
The position is funded by the Northern Norwegian Health Authorities (Helse-Nord). The salary will be commensurate with experience and in accordance with the Norwegian State salary scale code 1352 for postdocs starting at approx. NOK 482’800 per year (~$56,750). UiT is a family-friendly work environment and offers very attractive and internationally competitive benefits including pension arrangements, healthcare and other welfare benefits.
How to apply
The application must be submitted in English and the application deadline is October 15th 2016. The following documents are required:
- 1-2 page cover letter explaining your motivation and research interests
- CV containing an overview of education, supervised professional training and professional work
- A complete list of publications
- Copies of diploma and transcript from completed degree(s) translated to English
- 2-3 references
- Documentation of English language proficiency is an advantage
For more information and contact details see our webpage: