- A 1st class Master's degree in Public Policy, Economics, Computer Science, or closely related fields is mandatory.
- Applicants must have experience with data cleaning, web scraping, and handling large datasets.
- Demonstrated experience working with large-scale online job postings data and managing administrative datasets.
- A keen interest in science, technology, and innovation policy is essential.
- Proficiency in programming, particularly Python.
- Familiarity with machine learning and natural language processing techniques.
- Prior experience working with patent or publication datasets.
- Knowledge of econometrics/statistical analysis.