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Thomas Van Boeckel

3 months ago

PhD in Geospatial Modelling of Antimicrobial Resistance in Animals at University of Zurich University of Zurich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

The position offers a competitive international salary. The initial contract is for one year, renewable up to four years. UZH provides excellent career development support, work-life balance, flexible working models, childcare, subsidized food, healthcare benefits, and various discounts. No specific stipend amount or tuition coverage is mentioned.

Deadline

Expired

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Country

Switzerland

University

University of Zurich

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Keywords

Computer Science
Machine Learning
Environmental Science
Biology
Geography
Veterinary Science
Spatial Analysis
Antibiotic Resistance
One Health
Python
Geospatial Modeling
Spatial Epidemiology
Statistics

About this position

The University of Zurich's One Health Institute is offering a PhD position in Geospatial Modelling of Antimicrobial Resistance in Animals. This opportunity is based in the Epidemiology and Geography group, which specializes in assembling large spatial datasets and developing methods to map infectious diseases in animals and humans. The primary research focus is on mapping antimicrobial resistance (AMR) in animals raised for food, particularly in low- and middle-income countries, with the goal of informing policy and reducing the global burden of AMR.

The PhD project will involve ensemble forecasting from multiple geospatial models, expanding models in space-time dimensions, and propagating uncertainty, including positional uncertainty of surveys. The project leverages global datasets such as resistancebank.org and encourages the student to develop original research questions in spatial epidemiology. The group values diversity and seeks candidates from varied educational and cultural backgrounds.

Applicants should have a Master's degree in machine learning, microbiology, epidemiology, or a related field, with strong communication skills in English. Experience with ensemble forecasting, statistics, and programming in R or Python (including spatial analysis and species distribution models) is highly desirable. Additional skills such as high-performance computing, systematic literature reviews, and proficiency in languages like Mandarin Chinese, Spanish, Portuguese, or Arabic are considered assets.

The position offers a competitive international salary, with an initial one-year contract renewable up to four years. The University of Zurich provides excellent career development support, flexible working models, childcare, subsidized food, healthcare benefits, and various discounts. Admission to the PhD position is contingent upon acceptance into a doctoral program at the University of Zurich.

To apply, candidates should submit a single PDF containing their CV and a one-page cover letter via the University of Zurich job portal. The cover letter should detail previous research experience, aspirations, and motivation for pursuing a PhD. Applications will be reviewed starting January 5th, 2026.

For more information about the position and working at UZH, visit the provided links. The supervisor for this position is Associate Professor Thomas Van Boeckel, a founding professor of the One Health Institute at the University of Zurich.

Funding details

The position offers a competitive international salary. The initial contract is for one year, renewable up to four years. UZH provides excellent career development support, work-life balance, flexible working models, childcare, subsidized food, healthcare benefits, and various discounts. No specific stipend amount or tuition coverage is mentioned.

What's required

Applicants must hold a Master's degree in machine learning, microbiology, epidemiology, or a related field. Strong oral and written communication skills in English are required. Ideal candidates will have experience with ensemble forecasting, a strong background in statistics, and proficiency in R or Python, including spatial analysis and species distribution models. Additional assets include experience with high-performance computing clusters, conducting systematic literature reviews, and the ability to read Mandarin Chinese, Spanish, Portuguese, or Arabic. Admission is contingent upon acceptance into a doctoral program at the University of Zurich.

How to apply

Submit a single PDF containing your CV and a one-page cover letter via the University of Zurich job portal. In your cover letter, describe your previous research experience, aspirations, and motivation for pursuing a PhD. Applications will be reviewed starting January 5th, 2026.

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