Qualification Type: | PhD |
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Location: | Norwich |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | £19,237 p.a. for 2024/25 |
Hours: | Full Time |
Placed On: | 17th October 2024 |
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Closes: | 8th January 2025 |
Reference: | MOULTON_UCMP25ARIES |
Primary Supervisor - Professor Vincent Moulton
Scientific background
Arctic ecosystems are among those that are most affected by climate change anywhere on Earth, with air temperatures rising four times faster than the global average. Despite being one of the most inhospitable environments on the planet, the Arctic Ocean supports a complex ecosystem including fish, marine mammals, and zooplankton. Microbes are the base of this food web and play important roles in biogeochemical cycles. However, due to inaccessibility of the Arctic, there is a fundamental lack of understanding into how microbial communities in the Central Arctic Ocean respond to seasonal changes. To fill this gap of knowledge, the 2019-2020 Multidisciplinary Observatory for Study of the Arctic Climate (MOSAiC) expedition undertook the largest ever survey of the Arctic Ocean, including the first ever year-long time series of Arctic metagenomes and metatranscriptomes.
Research methodology
The aim of this project is to analyse and model changes in microbial diversity and traits over the course of a year, using metagenomic and metatranscriptomic data from the MOSAiC expedition. The student will synthesise multiple data sources from MOSAiC, including biogeochemical measurements, oceanographic data, and the MOSAiC metagenome and metatranscriptome time-series. Gene abundance and expressions level will be used as indicators of physiological traits, such as ice-adaptation, nutrient metabolism, or autotrophy. The student will become familiar with both traditional species distribution models and machine learning tools, such as hierarchical modelling of species communities and Gaussian processes and will use them to build models describing seasonal changes in microbial communities. In the final part of the project, these models will be combined with broader oceanographic and climate predictions to forecast how Arctic microbial communities and traits might change in response to climate change.
Training
You will work with a world-leading team of experts in Arctic microbial genomics and ocean modelling based at UEA, The Earlham Institute and University of Bristol as well as other members of the MOSAiC consortium. They will gain new skills in areas including bioinformatics, data analysis, machine learning, ecosystem modelling, and marine microbiology.
For further information, please visit www.aries-dtp.ac.uk
Funding Details
Additional Funding Information
ARIES is awaiting confirmation of funding under the BBSRC-NERC DLA award scheme, which is expected shortly. Funding for this studentship is subject to this confirmation and UKRI terms and conditions. Successful candidates who meet UKRI’s eligibility criteria will be awarded a fully-funded ARIES studentship of fees, maintenance stipend (£19,237 p.a. for 2024/25) and research costs.
A limited number of ARIES studentships are available to International applicants. Please note however that ARIES funding does not cover additional costs associated with relocation to, and living in, the UK.
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