Friday 1 April 2016

Behavioural Econ / Nudge PhD Scholarships UCL

BIT launch PhD Scholarships Programme with UCL

 

Michael Sanders


We are pleased to announce the launch of the BIT PhD Scholarships Programme, a collaboration between the Behavioural Insights Team and the School of Public Policy, University College London (UCL).

These three-year scholarships will run from autumn 2016.  The scholarships can be on any area of behavioural science and public policy, but strong links between the work of BIT and the research interests of staff at the School of Public Policy or other parts of UCL are preferred.

While completing their PhD, scholarship students will work part-time at BIT, embedded within one of the relevant policy teams. Students will receive a research allowance as well as a stipend, with fees covered by BIT. Students will be supervised by
 Professor Peter John at UCL and Dr Michael Sanders from BIT, as well as any other relevant academics.

UCL has considerable academic expertise in behavioural science, with members of the School of Public Policy, Economics Department, Centre for Behavioural Change, Energy Institute, and the UCL Transport Institute all conducting research in the area.

We are very excited to announce this programme, which we hope will help to continue BIT’s strong relationship with academia. It will help us to continue our work in both creating new behavioural insights as well as translating these insights into initiatives with policy impact.

Prospective students should submit their CV, as well as a two-page research proposal, to
 Jacqui.Charlesworth@behaviouralinsights.co.uk, by midnight on the 2nd of May 2016. Research proposals should make clear the specific policy problem(s) to which their research will be applied.

For more information, please contact
 michael.sanders@behaviouralinsights.co.uk. Informal enquiries can also directed to Peter John (peter.john@ucl.ac.uk).

Successful applicants will be expected to complete an application process to UCL and to satisfy UCL’s entry requirements

Job Description:

The Behavioural Insights Team (BIT) and University College London (UCL) are seeking to appoint two PhD students in Behavioural Science and Policy.

Successful applicants will work on their PhD at UCL, supervised by Professor Peter John, as well as working at BIT.

They will receive:

  • stipend of £15,000 from UCL (tax free)

  • part time salary from BIT of £12,500

  • research grant of £2,500 per annum during the PhD

  • tuition fees of £4,770 per annum covered by BIT


Applicants should have a good Undergraduate degree and Masters degree in a related discipline, for example Economics, Psychology, Anthropology, or Political Science. Knowledge of statistics or econometrics, particularly the use of Stata, is desirable but not essential.
 

How to apply: Please submit a CV, a statement of interest in working for BIT and a research proposal (each to be no longer than two pages) to:Jacqui.Charlesworth@behaviouralinsights.co.uk before midnight on Monday 2nd of May.

Date of posting: 24th March 2016

Interviews will take place w/c Monday 9th May 2016

Please note:

 
  • If you do not already hold the right to work in the UK and/or require sponsorship in order to continue working here, you should think carefully before applying. This is because we will be unable to sponsor you unless there is no other suitably qualified settled worker available to fill the role or your current immigration status means that the resident labour market test will not apply in your case.

  • Due to the volume of applications received we are unable to provide feedback unless you are called for interview. Please ensure that you meet the requirements for the role.


The Behavioural Insight Team is committed to a policy of Equal Employment Opportunity and is determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.