Data collection and cleaning. Collecting the data from the relevant sources (typically available on-line, either in public or academic databases), and cleaning the data.
Regression analysis. Such as using OLS, IV, panel, spatial econometrics. Expect the assistant to take initiative in exploring the results and in investigating robustness.
Quantitative analysis. Potentially apply economic models, for example using Monte Carlo simulations.
Documentation. Provide well-commented code, write up results in reports and create tables and figures communicating the findings. These must be sufficiently clear such that I or someone else can continue from where you left-off, if necessary.
Literature review. Review prior work to help inform directions we will take in the project
Paper writing. Writing up the findings in an academic paper.
The candidate will also work on individualized research projects under the supervision of the faculty during the duration of his/her tenure.
Ph.D. in Economics or similar quantitative discipline (Computational Social Science, Computer Science, etc)
Data analysis including knowledge of econometrics/statistics
Data management: collection, organization, cleaning
Programming language skills, especially with statistical languages (e.g. STATA)
Project management: management of code (organization, commenting, version history, etc), time
Interpersonal skills: teamwork, communication (including ability to intuitively explain technical concepts)
Organizational skills: proactive, independence, initiative, critical thinking, problem solving, responsive
Experience with GIS/satellite data/etc
Relevant economic theory (models in international trade, urban, labor, etc)
Experience with quantitative economic modeling (e.g. trade/spatial models), Monte Carlo simulations, and associated software (e.g. Matlab)
Familiarity with the relevant literature
Personal statement: motivation, interest in position, relevant experience, future plans, etc
Transcript of highest degree (plus other degrees if in relevant field)
Two letters of recommendation
NYU Abu Dhabi is pioneering a new model of higher education for a global world, dedicated to excellence in teaching and research and to advancing cooperation and progress on humanitys shared challenges.
Drawing on the strengths of the NYU global network, it offers an outstanding liberal arts and sciences education to students from the United Arab Emirates, the United States, and around the world, with a distinctive focus on intercultural understanding and leadership.
It supports innovative research and graduate education programs that push forward the frontiers of knowledge and respond in powerful and interdisciplinary ways to vital global and local challenges.
NYUAD advances NYU as a model university for the 21st century and contributes in multiple ways to the development of a sustainable, knowledge-based economy in Abu Dhabi.
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