Pre-Doctoral Researcher
Pre-Doctoral Researcher
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1 Vacancy
Job Description
Professors Andrew Garin and Felix Koenig are hiring a predoctoral researcher supporting their research in labor economics. Examples of current research projects include studying the emergence of new job types and the strategies firms use to recruit talent to these emerging roles understanding the implications of new forms of gig work and the impacts of regulation and examining the implications of return-to-office policies on social dynamics. For further examples of research topics that you might work on please see Andrews website: and Felixs website: position is ideal for someone with serious interest in economics research and an intention to apply to graduate school in economics or a related field. The position will involve hands-on experience in data analysis statistical modeling research communication and academic writing. The most important task of the Research Assistant will be to use statistical software to work with large datasets . This work will involve the cleaning and development of data files as well as using econometric and statistical analysis to analyze the data. The successful candidate will meet regularly with Professors Garin and Koenig to discuss their work exchange ideas and receive feedback and will have access to seminars workshops and a wide range of other activities at Carnegie Mellon.
The predoctoral researcher will be working full-time at the Heinz College at Carnegie Mellon University in Pittsburgh Pennsylvania. The appointment term is for one year with the strong potential for a second-year renewal conditional on performance. Preference will be given to applicants who have availability to work for two years.
Successful candidates will have demonstrated quantitative skills coding experience and mathematical training including:
- Bachelors degree in economics public policy computer science statistics or a related field
- Significant experience in conducting economic (or related) research including data processing and analysis. This experience may come from work as a research assistant independent research during higher education or similar roles.
- Proficiency in programming in Stata
- Strong academic record
- Strong written and oral communication skills in English
- Willing to learn other software as needed (e.g. SAS R).
- Independent judgment patience and excellent communication skills are required to respond efficiently to varied/complex tasks.
- Organization and attention to detail is a must.
Preferred skills:
- Advanced coursework in economics and econometrics
- Proficiency programming in R and or Python
- Proficiency in LaTex
Employment Type
Full Time
