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Message posted on 28/03/2019

DEADLINE EXTENDED fully-funded PhD studentships at Lancaster University: Understanding Trust in Environmental Data Science

Applications are invited for fully-funded PhD studentships at Lancaster
University in which you will learn to develop cutting-edge data science
approaches to address key environmental science challenges.

Description of the PhD:

Understanding Trust in Environmental Data Science: Cross disciplines and
cross cultures

Supervisors: Bran Knowles and Paul Young

Addressing the environmental grand challenges such as climate change,
environmental pollution and biodiversity loss requires a
transdisciplinary and international approach. Such collaborations have
been occurring for many years, but initiatives such as the UK’s Global
Challenge Research Fund (GCRF) and the international Belmont Forum have
led to larger scale transdisciplinary collaborations, many of which are
now occurring between the Global North and the Global South. For these
collaborations to be successful, researchers will need to develop means
of effectively communicating the trustworthiness of the scientific data
they exchange. To understand how to facilitate this communication,
research is needed regarding the strategies employed by researchers to
gauge trustworthiness, including the aspects of trust that are entailed
in such strategies. In particular, given the importance of the
international funding landscape, are there disciplinary and/or cultural
variations that need to be accommodated in cross-disciplinary and
cross-cultural collaborations?


About the PhD studentships:
The studentships are part of the large-scale £2.6M EPSRC-funded grant
Data Science for the Natural Environment (DSNE), a joint project between
Lancaster University and the NERC Centre for Ecology & Hydrology (CEH).
This is an exciting opportunity to work at the heart of a
multi-disciplinary team of researchers consisting of computer
scientists, statisticians, environmental scientists and stakeholder
organisations, working together to deliver methodological innovation in
data science to tackle grand challenges around environmental change.

If learning to develop and deploy data science techniques to solve the
biggest problems faced by humanity is an appealing next step, please
send a letter of application to by 5pm on Monday
11th February. Unfortunately, while we can cover the full fees and
stipend of UK/EU applicants, the full fee of non-EU applicants cannot be
covered. The letter should include:

1. An ordered list of which of the PhD projects you would like to be
considered for, with an explanation of your reasoning
2. An explanation of why your skill set and previous education will
allow you to be successful in these projects (a transcript of your
undergraduate or masters degree programme is likely to be helpful)

To be able to answer these questions sensibly, it is advisable to talk
to the supervisors of your desired projects, in advance of submitting
your application.

Unfortunately, while we can cover the full fees and stipend of UK/EU
applicants, the full fee of non-EU applicants cannot be covered.

Extended submission deadline is the 12th of April, 2019.

PhD topics are available across the spectrum of DSNE research, including
social science aspects, for more information please visit:

For inquires about the advertised PhD projects, please contact Dr Bran

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