|Salary:||£31,029 to £35,635 per annum inclusive of London allowance|
|Placed On:||23rd December 2021|
|Closes:||24th January 2022|
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Salary from £31,029 to £35,635 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 is seeking to appoint a full-time research assistant (“pre-doc”) on the ERC funded research project “Quantitative models of cities” under the direction of Professor Daniel Sturm. You will be part of a team which includes other research assistants, academic collaborators of Daniel Sturm and data entry firms. The research project explores several new aspects of the economics of cities using newly developed quantitative models and data from Denmark and several other countries.
The position is ideal for someone who is considering applying to a PhD in Economics or a related field and would like to get 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 offers from Berkeley, Chicago, Columbia, LSE, Michigan, Northwestern and Yale.
The successful candidate has an undergraduate degree in economics or another quantitative discipline or a master’s degree in economics or another quantitative science discipline by post start date. Other essential criteria include: Advanced experience of using programming languages such as, for example, STATA, R and Python 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; Ability to think through economic problems analytically.
Desirable criteria include experience of working with ArcGIS or QGIS; knowledge of and interest in urban economics, economic geography and applied microeconomics more generally; and experience of execution and write up of independent research projects such as an undergraduate or masters’ thesis.
The exact start date will be agreed with the successful candidate depending on their constraints but should be in the summer or early autumn of 2022.
Applications must include a full curriculum vitae (CV) and a covering letter that explains the candidate’s qualification and motivation for the position. Please also include scans of transcripts for all university level courses taken.
Candidates who are shortlisted for the position will be given an online coding and data analysis problem to assess their suitability for the position.
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 Ashok Manandhar at firstname.lastname@example.org or Daniel Sturm at email@example.com.
The closing date for receipt of applications is 24 January 2022 (23.59 UK time). Regrettably, we are unable to accept any late applications.
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