Postdoctoral Research Fellow in Biometrics for in Silico Breeding

Full-time: 35 hours per week

Fixed-term: for 36 months

We are looking to fill a 3-year post for a Postdoctoral Research Fellow in Biometrics for In Silico Breeding within the BBSRC-funded HiPerBreedSim project. In this role, you will develop a general statistical framework and software tools for simulating complex phenotypic data capturing multiple data streams (e.g., genetic, environmental, multi-omics) along with their linear and non-linear interactions. The framework will enable large-scale simulations of the high-dimensional experimental data emerging from plant and animal breeding. The software here will accompany our breeding ecosystem comprising AlphaSimR and FieldSimR.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. Fixed-term for 36 months.

The salary for this post is £40,497 per annum.

Your skills and attributes for success:

• You are passionate about biometrics, statistics and quantitative genetics applied to experimental breeding data.
• You have expertise in linear and generalised mixed models, as well as machine learning algorithms.
• You have experience in a high-level programming language, such as Rcpp and C+.
• You are interested in developing open-source software for academic and applied work.
• You are independent, organised, and thrive in collaboration with multidisciplinary teams working in globally important sector.
• Please inspect the call documentation regarding the essential and desirable knowledge, skills and experience needed for the post.

Advert information