Publisher
source

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Biology, Mathematics, Physics, computer science ETH Zurich and Eawag in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded

Deadline

48 months

Country flag

Country

Switzerland

University

University Name
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Where to contact

Official Email

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Keywords

Computer Science
Evolutionary Biology
Population Genetics
Microbiology
Ecology
Environmental Science
Biology
Mathematics
Mathematical Modeling
Mycology
Bacteria
Genetic
Multidrug Resistance
Parasite
Polyploidy
Mechanistic Biology
Physics

About this position

100%, fixed-term Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag conducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems.Professorship in Pathogen Evolution (ETH Zurich and Eawag) is seeking a highly motivated PhD Candidate to study drug resistance evolution in various pathogens through population genetic modelling. Project background The main objective of the project is to develop a polygenic model to investigate the mechanisms underlying drug resistance evolution, focusing in particular on ploidy, reproductive mode and lifestyle. The target organisms will be bacteria, fungi and parasitic worms. While the position is theoretical, the student is encouraged and expected to collaborate with our experimental collaborators. More information about the project can be found on the project website . The position is for 48 months. Job description Profile The candidate can work independently or as part of a small team, has strong self-motivation, and is able to develop new skills to explore new topics. The project requires the ability to work collaboratively in a multidisciplinary research environment, and excellent communication and data analysis skills. The working language is English.Strong candidates have a master's degree in Biology, Mathematics, Physics, computer science, or a related field, with a strong interest in biological evolution. Previous experience in mathematical modelling of biological processes is valuable. Workplace Workplace We offer ETH (Swiss Federal Institute of Technology) and Eawag (Swiss Federal Institute of Aquatic Science and Technology) are world leading institutions in Environmental Sciences. ETH and Eawag share a strong mandate in research, education and expert consulting and actively promote gender equality, staff diversity and inclusion.  Curious? So are we. Applications are evaluated starting 1 July 2024and continuing until the position is filled. The start date is flexible, but ideally would begin by 1 November 2024.Your application should include:a letter of motivationa CVyour Master and Bachelor gradesand the names and email addresses of two referencesFor questions, please email Dr Barbora Trubenová ([email protected] ). Please send it through this webpage, as any other way of applying will not be considered. A click on the link below will take you directly to the application form.

Funding details

Fully funded

How to apply

More information can be found on the project website.

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