Postdoctoral Research Associate in Quantitative Disease Genetics and Modelling in Aquaculture

The University of Edinburgh; City of Edinburgh; On-site; GBP 35,000 - 52,000; Full time

Job summary

The University of Edinburgh invites applications for a fully funded post-doctoral researcher position focusing on quantitative genetics and epidemiological modelling of infectious diseases in aquaculture. You will lead the development of computational tools to analyze genetic data and disease dynamics, collaborating with an international team from academia and industry.

Applicants should hold a PhD with strong quantitative training, experience in HPC and Bayesian modelling, and excellent

Qualifications

• PhD or near completion in a discipline with a substantial quantitative component.
• Track record in quantitative genetics/genomics, Bayesian statistics, and disease modelling.
• Experience with high performance computing and writing efficient code for genetic/statistical analyses.
• Evidence of using Generative AI tools in research.

Responsibilities

• Lead development and application of computational tools for genetic and disease data analyses.
• Collaborate with international teams to tackle disease transmission and resilience in farmed fish.

Skills

Quantitative genetics

Genomic analysis

Bayesian statistics

HPC coding

Communication skills

Independent working

Aquaculture knowledge

Education

PhD in quantitative field

Tools

HPC

GenAI tools

Job description

The Opportunity:

Together we can do great things. Be part of something bigger. This post is full time, 35 hours per week.

We have a fully funded 3-year position for a highly motivated and skilled post-doctoral researcher in quantitative genetics and epidemiological modelling of infectious diseases in aquaculture. The successful candidate will join a multi-disciplinary international team of aquaculture, genomic and modelling specialists from academia and industry seeking to make scientific breakthroughs in reducing disease transmission and improving disease resilience in farmed fish. As successful candidate you will have the opportunity take a lead role in building and applying the next generation of computational tools to transform future experimental and field study designs, and genetic analyses of infectious disease data to tackle the most pressing disease challenges in aquaculture.

Your skills and attributes for success:

We welcome applications from all over the world that meet the following qualifications:

• PhD, or near completion of a PhD, in a discipline with a substantial quantitative component (e.g. quantitative genetics, statistics, bioinformatics, theoretical biology or physics, applied mathematics).
• Proven research track record in quantitative genetics and genomics, Bayesian statistics/ MCMC and mathematical modelling of disease or other dynamic biological processes.
• Experience in high performance computing, in particular writing efficient computational code for genetic and statistical data analyses and simulation studies.
• Evidenced proficient use of Generative Artificial Intelligence tools in research.
• Excellent verbal and written communication skills evidenced through a track record of research outputs, including publications in peer reviewed scientific journals and presentations at scientific conferences.
• Excellent organisation and time management skills and ability to work independently and in a team.
• Knowledge of aquaculture breeding or farming practices is desirable.

Apply Before: 23/11/2026, 23:59