PhD Student in Forecasting Resistance Spread and Epidemiological Impact

(100%)

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. 1'000 people from 96 nations work at Swiss TPH focusing on infectious and non-communicable diseases, environment, society and health as well as health systems and interventions.

Malaria, transmitted by Anopheles mosquitoes, caused over a million deaths annually in the early 2000s. Insecticide-treated bed nets have since helped halve global mortality, but this progress is threatened by rising insecticide resistance. We build quantitative, data-driven models to forecast the spread and impact of resistance, guiding the optimal use of new insecticide-treated nets.

Your position

Drive your own PhD project on developing mechanistic/process-based, spatially explicit models of insecticide resistance spread and impact, using Bayesian statistics, mathematical modelling, machine learning, and quantitative genetics
Implement resistance-spread models using state-of-the-art programming practices with version control; calibrate them to available data; integrate them with our epidemiological simulation platform; and evaluate resistance-management strategies to maintain insecticide effectiveness
Collaborate closely with project partners, including statisticians, machine-learning researchers, entomologists, and disease modellers at Oxford University, Imperial College London, Wageningen University & Research, Università della Svizzera italiana, and Swiss TPH
Communicate your research through peer-reviewed publications, conference presentations, workshops, and regular meetings with collaborators

Your profile

MSc degree (or nearing completion) with excellent grades in a quantitative field (e.g. statistics, mathematics, computer science, physics) or in biology/environmental sciences/epidemiology with strong quantitative training
Strong analytical skills for developing mathematical/statistical methods and strong programming skills for implementing them. Experience in R, Python, Stan, HPC environments, and Git is an advantage
A demonstrated interest or strong enthusiasm for delving into Bayesian statistics, modelling, resistance management, evolutionary processes, and public health
Ideally, prior experience in Bayesian data analysis, spatial statistics, evolutionary biology, computational biology, disease modelling, environmental modelling, analysis of genetic/genomic data, or quantitative genetics
Ability to manage your work independently and collaboratively, including planning, documenting, and communicating your work effectively
Ability to communicate research effectively in spoken and written English

We offer you

Direct and dedicated supervision led by Dr. Adrian Denz, with a strong commitment to supporting you in achieving research excellence in Bayesian forecasting of resistance dynamics as well as in developing your academic writing skills and scientific independence
Close exchange with renowned malaria researchers at Swiss TPH as well as international project partners
A multidisciplinary, international, and agile research institution with strong links to international policy makers, national health ministries, and industry, and excellent computational infrastructure with access to the HPC cluster at the University of Basel, alongside an active student community
A state-of-the-art workspace in the new Swiss TPH building with an on-site canteen, located on the dynamic BaseLink site in Allschwil near Basel. Basel is a walkable, bikeable city with high quality of life bordering France and Germany, and an international hub for pharmaceutical research and culture.
Enrollment as a PhD student at the University of Basel, with access to university courses, Swiss Institute of Bioinformatics training, continuing education opportunities, and university sports facilities
Internationally competitive salary and benefits according to SNSF and University of Basel regulations, fully funded for 3 years via an SNSF Ambizione grant

Job conditions:

Start Date: as soon as mutually agreed, between March and October 2026
Duration: 3 years
Percentage: 100%, primarily on-site with flexibility for home office
Location: Allschwil, Switzerland
Travel required: some travel for conferences and meetings (a few weeks per year)
Internal job title: PhD Student

Application / Contact

How to apply:
Please submit your application online.

CV including names and contact information (email or phone) of 1 – 2 referees
Motivational letter
Diploma or recent transcript showing progress toward degree completion. Reference letters are optional.

Swiss TPH is committed to fostering an inclusive and diverse workplace that values and respects differences across gender, race, ethnicity, disability, sexual orientation, and socio-economic background. We believe that diversity strengthens our work, and we are dedicated to providing equal opportunities for all.

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 to new applications. Applications via e-mail or external recruiter/agency will not be considered.

Join us in improving people's health and well-being worldwide – we look forward to receiving your application.

Contact
Dr. Adrian Denz, Scientific Project Leader (adrian.denz@swisstph.ch)

Apply