Postgrad LIVE! Study Fairs

Birmingham | Edinburgh | Liverpool | Sheffield | Southampton | Bristol

University of Liverpool Featured PhD Programmes
University College London Featured PhD Programmes
Imperial College London Featured PhD Programmes
Swansea University Featured PhD Programmes
Birkbeck, University of London Featured PhD Programmes

Using data science to develop the next generation of soil models

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr G Blair
    Dr J Davies
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Fully funded PhD studentship available for October 2018 entry, with STARS CDT.

Background: Established to address a shortage of soil scientists, the Soils Training And Research Studentships, Centre for Doctoral Training (STARS, CDT) is seeking to recruit an additional high calibre student to start a research project this October. See our website for further information.

The STARS CDT is an exciting consortium built around a core of 4 universities and 4 research institutes from around the UK, collaborating to offer training to PhD students in soil science. Beyond this core group, STARS has also built up strong links with other collaborating organizations whose involvement further enriches the partnership. Funded by NERC and BBSRC, our STARS College brings together PhD students in soil science with leading experts in the field.

Project description: We are looking for an enthusiastic and numerate student who is keen to explore the cutting-edge of soil and data science.

Rapidly increasing volumes of environmental data and advances in data processing, such as machine learning, offer exciting prospects for developing a new generation of soil models that can push the boundaries of our understanding of soils and ability to predict and sustainably manage their future.

In this studentship, you will:
- Experiment with data science methods, creating and testing new data-driven soil models, and combining these techniques with more traditional process-based approaches.
- Gain a highly valuable skillset in data science and environmental modelling.
- Be supported by a supervisory team with expertise in data science, environmental statistics, and soil modelling, and receive professional training in these areas.
- Join a diverse community of soil and data scientists at Lancaster University and the Centre for Ecology & Hydrology Lancaster.

Academic requirements: Applicants should hold a minimum of a UK Honours Degree at 2:1 level or equivalent in relevant subjects such as (but not limited to) Natural Sciences, Geography, Environmental Sciences, Statistics, or Computer Sciences. The project will best suit a student with a strong quantitative background and experience or enthusiasm for gaining skills in programming.

Eligibility: This studentship is only available to UK residents, who fulfil the NERC residence requirements. EU residents are eligible for a fees only award. Further details can be found on the RCUK website under “Terms and conditions of training grants” para 37 and 43.

For further information: For further details please contact Prof Gordon Blair ([Email Address Removed]) and Dr Jess Davies ([Email Address Removed])

Funding Notes

The studentships are fully funded for UK residents, with fees paid and a stipend of £14777 (2018/19) tax-free per year. There is also a research training support grant to support the project. Usually a studentship is for three and a half years.

FindAPhD. Copyright 2005-2018
All rights reserved.