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1 year ago
Aquatic Science and Technology ETH Zurich and Eawag (Swiss Federal Institutes of Technology) in Switzerland
Degree Level
PhD
Field of study
Pharmacology
Funding
Fully funded position for 48 months
Deadline
48 months from the start of the project
Country
Switzerland
University
University Name
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Where to contact
Official Email
No info
Keywords
Pharmacology
Computer Science
Data Science
Machine Learning
Epidemiology
Population Genetics
Microbiology
Environmental Science
Biostatistics
Biology
Mathematics
Statistical Analysis
Limnology
Computational Biology
Data Mining
English Language
Freshwater Ecology
Genetic
Multidrug Resistance
Bioinformatic
Pharmacodynamic
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 and pharmacodynamic data analysis.Project background The project's main objective is to extract and analyze large amounts of pharmacodynamic data from various sources and design a user-friendly database. Through advanced data mining and machine learning techniques, we will extract valuable data from databases, data repositories and non-strucured data sources (e.g. scientific articles and supplementary materials) across various disciplines, and identify the patterns in trends in these data.The project website provides more information about the project. The position is for 48 months. Job description 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 master degree in Data analysis, Mathematics, Physics, Computer science, or a related field. Prior experience in integrating diverse datasets and developing computational tools for data analysis and Interest in designing and implementing databases is a strong plus. 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 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 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 position for 48 months
How to apply
Visit the project website for more information.
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