Research Scientist in Evolutionary Population Genetics

vor 2 Monaten


Zürich, Zürich, Schweiz Eawag Vollzeit

Job Opportunity

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our team at Eawag, the Swiss Federal Institute of Aquatic Science and Technology. As a Postdoctoral Researcher, you will be part of a multidisciplinary research environment and contribute to the development of new computational tools and methods for data analysis.

About the Position

The successful candidate will have a strong background in evolutionary population genetics, with expertise in mathematical modeling and simulation. Prior experience in integrating diverse datasets and developing computational tools for data analysis is highly valued. Strong candidates will have a track record of productivity demonstrated by publications in reputable scientific journals.

Responsibilities

  • Conduct research in evolutionary population genetics and develop new computational tools and methods for data analysis
  • Collaborate with a multidisciplinary team of researchers to achieve project goals
  • Develop and maintain databases and computational tools for data analysis
  • Communicate research findings through publications and presentations

About Eawag

Eawag is a world-leading institution in Environmental Sciences, and we are committed to promoting gender equality, staff diversity, and inclusion. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.

Requirements

  • Ph.D. in Genetics, Computational Biology, Pharmacology, or a related field
  • Strong background in evolutionary population genetics, with expertise in mathematical modeling and simulation
  • Prior experience in integrating diverse datasets and developing computational tools for data analysis
  • Excellent communication and data analysis skills

How to Apply

Applications 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 and provide a short narrative explaining your contribution to this publication and the contribution of the co-authors.



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