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. 

The group (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. PhD students of the group matriculate at ETH Zurich. 

The ideal 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 candidateshave 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. 

About ETH Zürich and Eawag 

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. 

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, your Master and Bachelor grades, and the names and email addresses of two references. For questions, please email Dr Barbora Trubenová (E-Mail schreiben) We look forward to receiving your application. 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.