Research Fellow Opportunity in Economics and Machine Learning
We are seeking a highly motivated Research Fellow to join our team in the field of economics and machine learning. The successful candidate will have the opportunity to work on innovative research projects related to AI technologies in lower-middle-income countries, particularly in Sub-Saharan Africa.
About the Role
* Conduct field research in Sub-Saharan Africa, including data collection and analysis.
* Clean and analyze large datasets using statistical software such as STATA, R, or Python.
* Apply machine learning techniques, including supervised and reinforcement learning, to economic research questions.
* Collaborate with our team to develop and publish research findings.
Your Qualifications
Ideal candidates are BA or Master's graduates seeking research experience before entering a PhD program. A willingness to spend significant time in the field is essential. Non-EU/EFTA applicants should have a Master's degree.
Tracks
* Economics Track: Major in Economics, strong quantitative skills, coursework in machine learning or interest in ML and LLMs. Experience in developing countries is a plus but not required.
* Applied ML Track: Major in computer science, experience with supervised ML and reinforcement learning, coursework in economics.
Requirements
* Degree in economics, computer science, engineering, mathematics, physics, or related fields.
* Postgraduate qualifications or outstanding BA academic record.
* Research and analytical skills.
* Proficiency in STATA, R, or Python preferred.
* Experience with reinforcement learning and supervised ML for Applied ML track.
Application Process
Please submit your application via our website, including:
* A cover letter specifying your interest, track, available start date, programming skills, research experience, and work in developing countries.
* An updated CV.
* Contact details for two referees.
* A writing sample, transcript, and coding sample in one PDF.
For more information, visit yanagizawadrott.com and socialcatalystlab.org or contact SCL@econ.uzh.ch.
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Benefits include a competitive compensation package and opportunities for professional growth and development. We value diversity and inclusion in the workplace and welcome applications from talented individuals from diverse backgrounds.