The Swiss Tropical and Public Health Institute (Swiss TPH) is a world-leading institute in global health with a particular focus on low- and middle-income countries. Associated with the University of Basel, Swiss TPH combines research, education and services at local, national and international levels. 950 people from 95 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions.


The Department of Epidemiology and Public Health (EPH) investigates distribution and causes of infections and non-communicable diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from anthropology and social science to biostatistics and mathematical modelling as well as observational cohorts with biobanks.

The Disease Modelling Unit (DM) develops and uses approaches in computational sciences, statistics and mathematical modelling to understand and address contemporary issues in infectious diseases and global health, primarily in malaria and neglected tropical diseases.

The Disease Modelling Unit of EPH is currently looking for:


3 Senior Scientists or Postdoctoral Scientists in infectious disease modelling (80-100%)


We are seeking 3 senior scientists or postdoctoral scientists for exciting opportunities to develop and implement disease and vector biology models to support decision making in health. There are many open questions in understanding animal and vector behaviour, and estimating the impact of new and current control interventions for the control and elimination of malaria, that can only be answered through quantitative analysis, disease modelling and simulation.
The successful candidate will join, and collaborate within, a multidisciplinary team within Swiss TPH and external partners, to provide evidence to global decision-makers, funders and product developers.
Although the core skillset needed for the 3 positions is similar, the focus of the research and the responsibilities are varied. Please specify which position(s) you would like to apply for and your ordered preference (if applying for more than one) and expand on this in your motivation letter:

YOUR RESPONSIBILITIES FOR POSITION 1 (CORE MALARIA MODELLING):

Applying mathematical and statistical modelling and simulation to improve understanding of malaria dynamics, help the development of novel interventions, and improve implementation strategies of current and novel interventions to reduce malaria transmission and disease burden, with a focus on vector control interventions. Tasks can include:

Your various responsibilities include:

  • The responsibilities are listed above, depending on the position
  • As outlined above, while the core skill set for the three positions is similar, the research focus and responsibilities differ
  • Please specify which position(s) you are applying for and indicate your order of preference if applying for more than one
  • Expand on your choice and preferences in your motivation letter

You should have the following experience and skills:

  • PhD in mathematics, statistics or a related discipline. e.g.: quantitative epidemiology, ecology modelling, computational biology
  • Strong mathematical and/or statistical modelling skills
  • Strong programming skills (in at least one of Python, R, Matlab, C/C++), preferably with experience in working with a version control system (preferably Git) and in using high performance computing clusters
  • Expertise/background and interest in areas of infectious disease modelling; epidemiology of parasitic diseases, especially malaria; vector ecology; and/or veterinary diseases
  • Ability to deliver high quality research and to publish in peer reviewed journals
  • Ability to communicate effectively in spoken and written English, with good presentation skills
  • Ability to work independently and as part of an interdisciplinary team on large research projects in a culturally diverse environment. Ability to initiate, plan, implement and deliver programs of work to tight deadlines

What we offer:

  • Fully funded position for 2 years (salary according to Swiss National Science Foundation regulations) (with option to extend depending on performance)
  • Active scientific environment across multiple disciples and skills
  • Meaningful work in an international environment
  • A state-of-the-art workplace in our new building
  • Attractive employment conditions, versatile further education opportunities and mentoring

Job conditions:

  • Start Date: immediately or upon agreement
  • Duration: limited contract of 2 years with possibility of extension
  • Percentage: 80-100%
  • Location: Allschwil, Switzerland
  • Travel required: position dependent (ca. 5-20%)
  • Internal job title: Postdoctoral/Scientific Collaborator 



Meet our diverse staff members

In their native language, Swiss TPH employees talk about what motivates them in their daily work.

How to apply:

Please submit your application by stating which position you apply for online via https://jobs.swisstph.ch/Jobs/All with:

  • Concise CV (3 pages max.)
  • Motivational letter including names and contact information (email or phone) of 3 references
  • No reference letters needed at this stage

    Swiss TPH strives to create an inclusive environment that welcomes and values diversity in all its forms, including gender, race, ethnicity, disability, sexual orientation, and socio-economic background. We are committed to ensuring equal opportunities for everyone. Together, we can make the world a healthier place. We look forward to receiving your application.

    Please note that we can only accept applications via our online recruiting tool. As long as the position is online on our company website, we are open for new applications. Applications via e-mail or external recruiter will not be considered.

Contact:

Christina Bucher, Senior Recruiting Partner, +41 (0)61 284 87 59 for administrative questions.

PD Dr. Nakul Chitnis, Unit Head, Disease Modelling Unit, nakul.chitnis@unibas.ch for scientific inquiries regarding these positions.

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