Stephen Hansen
6 months ago
Economics UCL (University College London) in United Kingdom
Degree Level
not provided
Field of study
Computer Science
Funding
The position is fully funded for two years, with a salary of £35,850 - £38,000 (GBP) depending on qualifications and experience. The contract is full-time, but part-time arrangements may be considered for exceptional candidates, such as current PhD students. No visa sponsorship is available.
Deadline
Jul 21, 2026
Country
United Kingdom
University
Institute for Fiscal Studies

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About this position
Funding details
The position is fully funded for two years, with a salary of £35,850 - £38,000 (GBP) depending on qualifications and experience. The contract is full-time, but part-time arrangements may be considered for exceptional candidates, such as current PhD students. No visa sponsorship is available.
What's required
Applicants must have a master’s degree in economics, data science, or a related field. Proficiency in Python, R, or similar languages for unstructured data analysis is required, along with familiarity with algorithms for extracting information from large textual corpora and applied econometric techniques. Candidates should have excellent problem-solving, analytical, and writing skills, and be able to work independently and as part of a diverse team. Experience with machine learning and AI applied to text data, and at least one year of relevant work or research experience, are desirable. Applicants must have the right to work in the UK, as visa sponsorship is not available.
How to apply
Apply via BeApplied by submitting a single PDF containing your CV and a cover letter explaining your suitability for the role. Highlight experience analyzing textual data and background in economics/data science. Selected applicants will be invited to interview in late July 2025.
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Professors

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https://lnkd.in/dxBMN4i6
Imran Rasul, Fabien Postel-Vinay , and I have a series of projects mapping skills in online job postings to labor market outcomes. Work at intersection of econ/data science/ML/AI.