Research Experience Placements (REPs) are paid Summer internships for Home/EU undergraduates from any university who are studying Mathematics, Physics, Chemistry, Engineering, Computing, or other quantitative disciplines, who wish to gain experience of research in the Environmental Sciences.
Successful undergraduate applicants are paid a stipend of at least £200 per week for a placement of 8-10 weeks during the Universities' summer recess. Up to £500 funding is also available to supervisors to use for expenses incurred by the research project. Successful candidates will later be encouraged to apply for a NERC-funded PhD in the Environmental Sciences.
Applications are open for EnvEast's 2018 REP scheme.
Candidates may apply for up to two EnvEast REP projects (see below) each year. To apply, candidates should send a C.V., a statement of up to 200 words stating which project you wish to apply for and why, and the name of a member of staff who can vouch for your academic abilities (e.g. your academic adviser/tutor).
The deadline for applications is Tuesday 15 May 2018.
Any enquiries about the EnvEast REP scheme should be sent to David/Alison at email@example.com.
3. Apply by sending a CV (to include an academic referee) and covering letter to firstname.lastname@example.org, by 27 May 2016. Separate covering letters should be sent for each project applied for.
One candidate for each project will be selected by supervisors to be put forward for a short interview by an independent panel at UEA in Norwich, on 10 June 2016. Telephone/Skype interviews will be available. At least four top ranked candidates will then be offered placements (possibly more if funding is available).
- See more at: http://webcache.googleusercontent.com/search?q=cache:safIQf0c30cJ:www.enveast.ac.uk/research-experience-placements/information-for-applicants+&cd=2&hl=en&ct=clnk&gl=uk&client=firefox-b-ab#sthash.ZutLtDL3.dpuf
Sparse Data Capture
Lead supervisor: Prof Andrew Lovett. Co-supervisors: Dr Danyel Hampson, Dr Rosalind Bark and Prof Kerry Turner CBE. Location: School of Environmental Sciences, UEA and Norfolk fieldwork.
Background to the project
Local and regional governments are interested in applying environmental economics evidence to their decision making on natural resources management but are constrained by time and expertise. In this project the REP holder will not only learn how to design, implement and analyse data but will also gain an understanding of the role of sparse data as a tool to simplify data collection.
There is growing evidence that environmental attitudes drive the public’s valuation of the environment. Two common methods to measure environmental attitudes are the New Ecological Paradigm (NEP) and Q Methodology. This project will test the degree to which the two methodologies are interchangeable. The motivation is, if the simpler to administer and analyse method (NEP), provides statistically similar results to the more complex Q, it will enable greater generation and use of non-market valuation evidence takes into account heterogeneous environmental attitudes.
This project sits within a larger ongoing collaboration between UEA's School of Environmental Sciences, CSERGE, Norfolk County Council (NCC) and others, e.g. Tarmac. The new knowledge gained in this project has the potential to develop simpler approaches to the estimation of the non-market social and cultural welfare benefits of environmental restoration projects, e.g. for quarries, wetlands, rivers and heathlands.
What you will do
Working within a research group that includes academic staff and post-doctoral scientists. You will be trained in the survey design, fieldwork and analysis skills needed to undertake this experimental research. Working with the supervisors you will develop skills or receive training in environmental economic statistics (econometrics) and report writing in the context of environmental economics.
Work with supervisors on the experimental design of a survey (2 weeks)
Collect data via a survey questionnaire in the field, c.50 respondents (2 weeks)
Analyse the data and write-up findings (4 weeks).
During each of these stages the student will be closely supervised by the supervisory team.
Preferred background for applicants to this project
You should be comfortable with numeracy and statistical research methods as well as qualitative research, i.e. surveys. This project involves fieldwork in Norfolk.
Duration: 8 weeks (start date and duration TBC and by arrangement with the supervisors).
Please check your eligibility before applying. You can apply for up to TWO projects from those advertised on this website by sending a C.V., a statement of up to 200 words stating which project you wish to apply for and why, and the name of a member of staff who can vouch for your academic abilities (e.g. your academic adviser/tutor).