Funded PhD Studentship Opportunity for October 2018
Using data science to develop the next generation of soil models
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.
*Supervisor*: Prof Gordon Blair
*Registered:* Lancaster University
*Funded by:*NERC-BBSRC National Productivity Investment Fund as part of
STARS <http://wp.lancs.ac.uk/stars/>
*Eligibility*: 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.
Only open to UK/EU residents.
*/For further details/*/ please contact /Prof Gordon Blair
([log in to unmask] <mailto:[log in to unmask]>) and Dr Jess
Davies ([log in to unmask]
<mailto:[log in to unmask]>). Further information can be found
here http://www.starsoil.org.uk/2017-studentships-full-details-copy/.
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