NERC
Organisation NERC
Organisation Detail British Geological Survey
Reference Number IRC244695
Location Nottingham See on Map
Salary £28200 - £38254
Date Posted 23 March 2018
Grade NERC-5 New
Contract Type Open Ended
Hours Full Time
Closing Date 22 April 2018
Interview Date




Brief Description


Salary: £28,200 per annum to £38,254 per annum (for a salary above £35,222 per annum you will be expected to have a strong track record of completed research projects and publications.
Grade: NERC6/5 new
Contract Type: Open-Ended
Hours: Full Time
Closing Date: 22nd April 2018

UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org.

NERC will become part of this from April 2018.

The British Geological Survey is one of the world's leading and forward thinking geological science institutes with a focus on both public good science for government and geoscientific research to understand earth and environmental processes. A vacancy has arisen for a highly motivated and enthusiastic Environmental Statistician at our headquarters in Keyworth, Nottingham.

You will contribute to a range of interdisciplinary projects in the BGS GeoAnalytics and Modelling Science Directorate. The work will be mostly UK based but there may also be opportunities to work overseas for short periods of time. You will work as part of a project team and provide the expertise required to develop, apply and advise on the use of statistical methods, and other mathematical and analysis techniques to a range of geoscience problems.

Primary Tasks:

  • apply statistical modelling to data sets generated across the range of BGS’s science and survey activities
  • contribute to the development of BGS’s expertise in statistical modelling and machine learning
  • provide statistical guidance to BGS scientific staff in respect of current project work and the development of proposals for externally funded projects
  • lead the statistical component of work within specific projects.

Other Tasks:

  • contribute to the development of funding proposals in collaboration with other BGS staff
  • contribute to statistical training in BGS
  • contribute to publication of research in peer-reviewed publications.

Organization Description


The British Geological Survey (BGS), founded in 1835 is part of the Natural Environment Research Council (NERC), and is the world's longest-established national geological survey and the UKs premier centre for earth science information and expertise.

Shortlisting and Interview Criteria

Essential:

  • you will have a PhD in applied statistics or equivalent experience of applying statistical modelling methodology in a research environment
  • proven experience of delivering the statistical component of interdisciplinary environmental research
  • evidence of broad knowledge of statistical methods applied in the environmental sciences such as some or all of the following:  survey planning, linear mixed modelling, geostatistical methods, time series modelling, generalized linear models, multivariate methods, modelling in a computational Bayesian framework, extreme value theory or machine learning
  • specific expertise (e.g. as could be acquired in postgraduate research) regarding one or more of the above methodologies 
  • proven ability to identify appropriate statistical methodologies required to address specific scientific questions
  • ability to communicate statistical concepts to non-statisticians
  • experience of coding in an environment such as R, Python or Matlab
  • good writing presentational skills
  • good time management skills
  • flexibility and willingness to operate across BGS sites as required
  • able to work in a team and to cooperate effectively across disciplines
  • ability to communicate effectively – both written and verbally
  • demonstrates an interest in the work of BGS
  • displays an enthusiasm for their science/their role and a desire to develop this further.

Desirable:

  • experience in statistical consultancy in a research environment
  • experience of delivering statistical training
  • experience of working in developing countries
  • experience of writing funding applications
  • authorship of peer-reviewed publications
  • willingness to work overseas as required
  • demonstrates an interest in their own continuing professional development
  • demonstrates curiosity and a drive to resolve scientific problems.

Working hours will be 37 per week excluding lunch breaks. A generous benefits package is also offered, including a company pension scheme, childcare voucher scheme, 30 days annual leave plus 10.5 days public and privilege holidays. NERC has an equal opportunities policy and welcomes applications from all sections of the community. People with disabilities and those from ethnic minorities are currently under represented and their applications are particularly welcomed. Guaranteed interview scheme for applicants with disabilities. The British Geological Survey is an Investors in People organisation.

To enable us to hire the very best people we will conduct a full and comprehensive background and pre-employment check as an essential part of the recruitment process.

From April 2018, UK Research and Innovation will bring together the seven Research Councils, Innovate UK and a new organisation, Research England. The vision for the new organisation is to be the best research and innovation organisation in the world. From 1 April 2018 your employer will be UK Research and Innovation. More information can be found online http://www.ukri.org/.

Only online applications will be accepted and should be submitted in the form of an up-to-date c.v. and covering letter (ensuring that the IRC reference is included in the file name description of each document uploaded), which clearly outlines why you are applying for this post and how you meet the criteria described in this advertisement. Please note that applications submitted without a covering letter, or which fail to address these points, may not be considered further.

Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867000. Please quote the appropriate reference number when calling.