Project Description
Supervisors
Professor Alex Dumbrell, School of Life Sciences, University of Essex – contact me
Dr David Clark, University of Essex – School of Life Sciences
Dr Sebastian Mynott, Applied Genomics Ltd
Scientific background
Managing global biodiversity and minimising its loss is a central challenge of the 21st century. Achieving this requires an understanding of the ecological mechanisms regulating biodiversity across local-to-global scales and how these respond to environmental changes. For microbial species, which regulate Earth’s biogeochemical cycles and ecosystem functions, this knowledge base is missing. However, we now have the scientific tools and globally comprehensive datasets required to address this challenge and provide a mechanistic understanding of the global regulators of microbial biodiversity and how multiple environmental stressors (e.g. climate change, pollution etc.) will alter this. Do you want to be the researcher who uses this new knowledge base to provide novel solutions to manging this important component of global biodiversity?
Research methodology
You will collate, and analyse the wealth of DNA/RNA metabarcoding and metagenome data that have been used to characterise microbial diversity globally. Using these data you will evaluate the roles of deterministic and stochastic assembly processes in regulating microbial communities, how these influence microbial ecological networks, and how these change across taxa, scales and environmental contexts. You will develop predictive models of how microbial biodiversity will respond to the Triple Planetary Crisis of pollution, climate change, and biodiversity loss.
PhD Training
You will be trained at the University of Essex and by our CASE partner, Applied Genomics, to be a multidisciplinary researcher and a highly employable ecological data scientist. Specific training includes: high-performance computing, bioinformatics, ecoinformatics, statistical modelling, meta-analysis and data synthesis, the generation, curation and management of Next Generation Sequencing data (including eDNA), experimental design and theoretical ecology. With training in scientific skills provided as part of the Continuing Professional Development course at Essex and ARIES-cohort training.
Person specification
We are looking for an enthusiastic person with qualifications in a related subject (e.g. Ecology, Biology, Microbiology) and an interest in microbial biodiversity. Candidates holding degrees with computational or data analysis components (e.g. Maths, Statistics, Computer Science) wishing to apply their skills to tackling ecological research questions are encouraged to apply. You must possess well-developed written and oral communication skills and be able to manage your time effectively