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Centre for Economic Performance
Centre for Economic Performance
Applications are now closed
Salary from £35,758 to £40,741 pa inclusive with potential to progress to £43,604 pa inclusive of London allowance.
Fixed term appointment for one or two years depending on the preferences of the candidate
The Centre for Economic Performance seeks to appoint one or two full-time research assistants ("pre-docs") on the ERC funded research project "Quantitative models of cities" under the direction of Professor Daniel Sturm. You will be part of a team including other research assistants and collaborators. The research project explores new aspects of the economics of cities using newly developed quantitative models and data from Denmark and other countries.
The position is ideal for someone who is considering applying to a PhD in Economics or related fields and would like hands-on research experience before embarking on a PhD. Previous holders of similar posts with Daniel Sturm have been offered positions in leading Economics PhD programs, including Berkeley, Chicago, Columbia, San Diego, LSE, Michigan, Northwestern, Stanford and Yale.
The successful candidate has an undergraduate or master's degree in economics or another quantitative discipline by post start date. Other essential criteria include: Advanced experience of using programming languages such as STATA and R for analysing large scale micro data sets and the ability to learn new programming skills; Ability to perform data work requiring great accuracy and attention to detail; Ability to interpret and analyse patterns or trends in data and think through economic problems analytically; Ability to work independently, without close supervision; Excellent written and verbal communication skills.
Desirable criteria include experience of working with ArcGIS or QGIS; knowledge of and interest in urban economics, economic geography and applied microeconomics; and experience of execution and write up of independent research projects such as an undergraduate or masters' thesis.
The start date will be agreed with the successful candidate depending on their constraints but should be in the summer or early fall of 2025.
For further information about the post, please see the how to apply document, job description and the person specification.
Applications must include a CV and a covering letter that explains the candidate's qualification and motivation for the position. Please also include scans of all university transcripts. Referees will only be contacted if your application progresses to the final stages of the selection process.
For candidates who do not already have the right to work in the UK, LSE is able to support the visa application. Candidates who are shortlisted for the position will be given an online coding and data analysis problem that can be completed either in STATA of R to assess their suitability for the position. The interviews will be in person where possible and on Zoom otherwise.
To apply for this post, please go to www.jobs.lse.ac.uk. If you have any technical queries with applying on the online system, please use the "contact us" links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email Daniel Sturm at d.m.sturm@lse.ac.uk.
The closing date for receipt of applications is Monday 27th January 2025 (23.59 UK time). Regrettably, we are unable to accept any late applications.
David Frayman (LSE) is looking to hire a research assistant to work part-time on analysis of linked education and health administrative data. Research will examine variation in clinical and educational provision for those with special educational needs, and the implications for future outcomes. The position provides an excellent opportunity to gain experience doing applied academic research, in particular for candidates with a potential interest in research on health or education.
This position requires:
In addition, desirable (but not essential) is:
The position will commence as soon as possible and last for six months. Work will average around a day a week (seven hours), although there is significant flexibility in the allocation of hours. The secure nature of the data means work will have to take place in-person at the LSE. Pay will be at £23.23 an hour (including holiday pay), but a higher rate may be considered for exceptional candidates with prior research assistant experience.
If you are interested in being considered for an interview, please email d.frayman@lse.ac.uk by 31 January latest with (i) a CV, (ii) official transcripts and (iii) a short paragraph explaining your motivation for applying and relevant experience that satisfies the essential and desired criteria. References may be requested for shortlisted candidates.
Unfortunately, we will not be able to sponsor candidates for a visa for this position, so you must have eligibility to work in the UK. Eligibility in this context refers to an existing valid visa to work in the UK for which you must be present in the country.
Applications for 2025 will open in April.