Research Associate / Fellow in Mathematical Sciences

University of Nottingham

United Kingdom

Research Associate/Fellow (Fixed-term)

Reference :SCI083820
Closing Date :Tuesday, 14th April 2020
Job Type :Research
Department :Mathematical Sciences
Salary :£27511 to £33797 per annum (pro-rata if applicable) depending on skills and experience (minimum £30,942 with relevant PhD).

We are looking for a researcher to work with an inter-disciplinary team on a NERC funded project entitled: Developing a statistical methodology for the assessment and management of peatland (StAMP). This is a collaborative project between the School of Mathematical Sciences and Faculty of Engineering. The team consists of academic experts in statistics and environmental sciences at the University of Nottingham (Professor Ian Dryden, Dr Christopher Fallaize, Dr Andrew Bradley, Dr David Large) and University of the Highlands and Islands (Dr Roxane Andersen), working closely with key stakeholders.

The project will develop new statistical methods that can robustly and consistently quantify changes in peatland landscape from overly-complex spatio-temporal satellite data. In statistics, a new framework known as Object-Oriented Data Analysis (OODA) is ideally suited to achieve this purpose. The project will develop the OODA method further than its current capabilities and apply this method to satellite datasets of peat surface motion. The outputs will be used by land managers and policy makers to guide decision making, and the role will involve interaction with Knowledge Exchange meetings and other relevant workshop activities of the group.

You should provide evidence that you will be able to:

  • Undertake original research of international excellence.
  • Develop research objectives and proposals for your own and/or collaborative research area.
  • Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings resulting in successful research outputs.
  • Identify opportunities and assist in writing bids for research grant applications. Prepare proposals and applications to both external and/or internal bodies for funding, contractual or accreditation purposes.

We are looking for confident, organised researchers who can evidence:

  • PhD or equivalent, in a relevant branch of statistics, machine learning or a closely related discipline OR near to completion of a PhD.
  • Expert knowledge in statistical methodology, computational statistics, applied statistics, machine learning or data science.
  • Experience and expertise in programming, e.g. in R or Python.
  • Excellent oral and written communication skills, including the ability to communicate with clarity on complex information.
  • The ability to work independently and as part of a multidisciplinary and multicultural team.
  • Networking, actively engaging with and valuing other areas and diverse groups.

We believe that talented and inclusive teams deliver the highest quality research and are seeking applications from high quality candidates who enhance the diversity of our existing team. The School is committed to creating opportunities for people traditionally under-represented in Mathematical Sciences.

This full-time (36.25 hours per week) position is available from 1 May 2020 (or as soon as possible thereafter) and will be offered on a fixed-term contract until 31 January 2022. Job share arrangements may be considered.

For information about the School of Mathematical Sciences and research groups see:

Informal enquiries may be addressed to Professor Ian Dryden email: or Dr Chris Fallaize email: Please note that applications sent directly to these email addresses will not be accepted.

Our University has always been a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, visit;

In your application, please refer to


amsterdam uni

antwerp uni

cambridge uni

florida uni

hamburg uni

harvard uni

hiroshima uni

oslo uni

purdue uni

ryerson uni

shanghai jiao tong uni

stockholm uni