Postdoctoral Research Associate in Quantitative Disease Genetics and Modelling in Aquaculture

Overview

The Roslin Institute at The University of Edinburgh offers a fully funded, three-year postdoctoral position in quantitative disease genetics and modelling in aquaculture. The successful candidate joins a multidisciplinary international team of specialists from academia and industry to work on reducing disease transmission and improving disease resilience in farmed fish. This is a full-time position requiring 35 hours per week based on site in the United Kingdom.

Who can apply

Applications are open to individuals worldwide who hold a PhD, or are near completion of a PhD, in a discipline containing a substantial quantitative component such as quantitative genetics, statistics, bioinformatics, theoretical biology, physics, or applied mathematics. Candidates must possess a proven research track record in quantitative genetics and genomics, Bayesian statistics, Markov chain Monte Carlo methods, and mathematical modelling of disease or other dynamic biological processes. Experience in high performance computing is required, specifically regarding the creation of efficient computational code for genetic and statistical data analyses and simulation studies. Applicants must also show evidenced proficient use of Generative Artificial Intelligence tools in research, along with excellent verbal and written communication skills demonstrated through peer-reviewed publications and conference presentations. Strong organisational and time management skills are necessary to work both independently and within a team, while knowledge of aquaculture breeding or farming practices is considered desirable.

What you get

The position provides a salary ranging from 41,885 to 49,798 British pounds per annum. The appointed researcher takes a lead role in developing and applying next-generation computational tools to transform experimental and field study designs and genetic analyses of infectious disease data.

Key dates

The closing date for applications is 23/11/2026 at 23:59.