Job opportunities

Internship in ESRC funded CLS Cross Cohort Research Programme (CCRP)

 

Ref: 1670770
Closing date: 18 October 2017, latest submission of applications 23.59
Interview date: TBC
Duration of studentship: 3 months

Salary: £9.75 per hour, £355.87 per week (based on the London Living Wage and a 36.5 hour week). Plus a contribution towards travel (Economy class return airfare up to a maximum of £700) and subsistence costs (up to £25.00 per day).

 

Applicants are invited for 2 research intern positions in the Department of Social Science (DSS) which houses the Centre for Longitudinal Studies (CLS), a European and Social Research Council (ESRC) Resource Centre. CLS has responsibility for four of Britain's internationally renowned cohort studies. These are; The 1958 National Child Development Study (NCDS), the 1970 British Cohort Study (BCS70), the Millennium Cohort Study (MCS) and Next Steps (formerly the Longitudinal Study of Young People in England). 

As well as development of the cohort studies, CLS conducts research programmes including the CLS Cross Cohort Research Programme (CCRP)

These 2 full-time internships are available immediately from January 2018 for three months.

We welcome applications from students nearing the completion of their PhD or early career researchers.

The successful candidates will be expected to conduct analysis and publish substantive research in topics related to the remit of the Cross Cohort Research Programme and will be expected to collaborate with other researchers based at the Centre for Longitudinal Studies.

Person Specification

You will have research experience in any of the major applied quantitative disciplines, including epidemiology, social statistics, demography, population, health, sociology, psychology, economics, or social policy.

You will have a good understanding of applied quantitative research methods, specifically in the application of a range of statistical methods for the analysis of large-scale longitudinal datasets.

You will have excellent communication and interpersonal skills, including the ability to work with academic collaborators.

Experience of contributing to the design of a longitudinal study, or other major survey, or of working on a large scale complex research programme, is not essential but would be an advantage.

Eligibility

A job description and person specification can be found on the UCL job listing.

Interested candidates should send a Cover letter together with an up to date curriculum vitae and detailed publications list to Sharon Etienne (sharon.etienne@ucl.ac.uk).

If you have any queries regarding the vacancy or the application process, please contact George Ploubidis, Director of Research, Professor in Population Health and Statistics, who is the Principal Investigator of the CLS Cross-Cohort Research Programme (T: 020 7612 6107; E: g.ploubidis@ucl.ac.uk).

Please note that if you are shortlisted and are unable to attend on the interview date, regretfully it will normally not be possible to offer you an alternative date. However, where you can attend on the date but wish to change the time of interview, we will endeavour to accommodate you wherever possible.

 


 

Research Associate

 

Ref: 1670434
Closing date: 25 October 2017, latest submission of applications 23.59
Interview date: 15 November 2017
Hours: Full time
Salary: £34,635 - £41,864 per annum

 

Duties and Responsibilities

Applicants are invited for a Research Associate position in the Department of Social Science (DSS) as part of the Centre for Longitudinal Studies (CLS). The Centre for Longitudinal Studies has responsibility for and manages four of Britain's internationally renowned cohort studies. The cohort studies follow individuals throughout their lives. 

• 1958 National Child Development Study (NCDS)
• 1970 British Cohort Study (BCS70)
• Millennium Cohort Study (MCS) 
• Next Steps

The studies involve multiple surveys, with specialised forms of data collection (for example physical measurements) and linkages to administrative records. Your work will be supported by the Administrative Data Research Centre for England, and the CLOSER consortium. 

This post represents an outstanding opportunity to undertake high impact quantitative research using administrative data linked to cohort survey data at the individual level, using data from the four cohorts run by CLS. The main focus of work will be on analysis of records from HMRC.  You may also work on other linked survey and administrative data, for example education.  You will create derived variables for deposit and use by the wider research communities, and will undertake research using these data. You will contribute to training in the use of these data, and to the degree teaching of the Department.

This appointment is available immediately for 12 months initially.  

 

Key Requirements

Applicants should have a PhD (or very near completion) in a relevant quantitative social science discipline, including economics, sociology, social policy, demography, or social statistics. Those with relevant PhDs in other quantitative disciplines (e.g. psychology or epidemiology) are welcome to apply. You should have outstanding quantitative statistical analysis skills with demonstrable interest in research questions related to the linkage of HMRC and other administrative/survey records. You will have strong communication and interpersonal skills including the ability to write clearly and concisely, and present to both academic and non-academic audiences.  The ability to work as part of a team is essential.

Experience of working with administrative datasets and the cohort studies managed by CLS is not essential but would be an advantage.

 

Further Details

A job description and person specification can be found on the UCL job listing

To apply for the vacancy please click on the ‘Apply Now’ button on the UCL job listing.

You are welcome to contact Lorraine Dearden (l.dearden@ucl.ac.uk) and Alissa Goodman directly by email about this post (alissa.goodman@ucl.ac.uk). If you would like to discuss the post in person with Alissa, please contact Geeting Wong  (geeting.wong@ucl.ac.uk) in the first instance to schedule an appointment.



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