Partnerinserat
Übersicht 

Postdoctoral Researcher in Drug Resistance Evolution

80%-100%, fixed-term

Drucken 

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.

Project background

Professorship in Pathogen Evolution and the Department of Aquatic Ecology is seeking a highly motivated Postdoctoral Researcher to study drug resistance evolution in various pathogens through population genetic modelling and pharmacodynamic data analysis.

The project's first objective is to develop a modular polygenic model that will help us understand the mechanisms underlying drug resistance emergence and propagation, with a focus on ploidy, repro-ductive mode, and lifestyle. The second objective is to extract and analyze a large amount of phar-macodynamic data from various sources and design a user-friendly database. The project website provides more information about the project.

The position is for 24 months with a possible extension and requires 80-100 % time commitment. 

 

Job description

(PI: Prof. Barbora Trubenova) is hosted by Eawag Department of Aquatic Ecology in Dübendorf and ETH Zurich Department of Environmental Systems Sciences (Institute of Integrative Biology). The workplace is at Eawag Dübendorf campus. 

Profile

The candidate is able to work independently as well 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 Ph.D. in Genetics, Computational Biology, Pharmacology, or a related field. A strong background in evolutionary population genetics, with expertise in mathematical model-ling and simulation, is valuable. Prior experience in integrating diverse datasets and developing com-putational tools for data analysis and Interest in designing and implementing databases is a strong plus. Strong candidates have a track record of productivity demonstrated by publications in reputable scientific journals. 

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. For more information about Eawag and our work conditions, please consult www.eawag.ch and www.eawag.ch/en/aboutus/working/employment. 

Curious? So are we.

Applications are evaluated starting 1 July 2024 and 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 motivation
  • a CV
  • and the names and email addresses of two references
  • please highlight a first-authored publication that best represents your skill profile
  • provide a short narrative explaining your contribution to this publication and the contribution of the co-authors
For questions, please email Dr Barbora Trubenová (barbora.trubenova@env.ethz.ch). 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.

Curious? So are we.

Applications are evaluated starting 1 July 2024 and 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 motivation
  • a CV
  • and the names and email addresses of two references
  • please highlight a first-authored publication that best represents your skill profile
  • provide a short narrative explaining your contribution to this publication and the contribution of the co-authors
For questions, please email Dr Barbora Trubenová (barbora.trubenova@env.ethz.ch). 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.
Apply online now