We are looking for an innovative, numerical ecologist/post-doctoral research assistant to take a leading role in the development of algorithms that predict the environmental status of marine sediments based on their eDNA-profile. This is a fantastic opportunity to be at the forefront of assessing the environmental changes associated with aquaculture, one of the largest, and fastest growing, food-sectors.
Our ideal candidate
You may have a background in, for example, sediment/soil microbial systems and/or DNA-based studies of pollution/non-native introductions or other DNA/eDNA applications. Through your research, regardless of your specialism, you will have demonstrated a high-level aptitude and interest in finding patterns in data, necessitating data ‘wrangling’ and statistical modelling. These data-tasks may have included machine learning, and both uni- and multivariate statistical modelling. You will be comfortable presenting your research to a range of audiences and publishing scientific and technical papers. R expertise is essential; experience of metabarcoding and/or sedimentary systems (the core focus of this post) would be advantageous, but training / familiarisation will be given where necessary.
Location: SAMS, Oban
Contract Type: Fixed Term, up to 2.5 years
Working Pattern: Full Time, hybrid/flexible working available (three days working on-site, two days working remotely)
Salary Range: £32,344 – £36,382 per annum (starting salary will depend on experience)
