We are looking for a highly skilled and motivated individual to work as full-time research professional for a period of one or two years. The start date is subject to negotiation, but may be as early as June 1, 2022.
This position is ideal for someone who is planning to go to graduate school in economics, finance, or a related field. You will work with NYU Stern Professors Robert Engle (winner of the 2003 Nobel Prize in Economics), Johannes Stroebel, Richard Berner, and Viral Acharya. You will work on a variety of projects that study the interactions between climate change, financial markets, and the broader economy. Many of the projects will involve extensive work with large data sets and the use of machine learning tools. Preference will be given to candidates with prior experience of working with statistical software such as Stata, R, and Python. Experience with machine learning tools is also highly valued. The last three holders of this position have joined PhD programs at Harvard, Harvard Business School, and Berkeley.
The ideal candidate will have:
(i) a strong quantitative background;
(ii) strong programming skills (Stata, R, Python, and/or Matlab are a strong plus) as well as experience with machine learning tools;
(iii) an ability to work independently to solve problems;
(iv) a long-term interest in pursuing research in economics and or finance; and
(v) an interest in understanding the interactions between climate change, the economy, and financial markets
Background in economics is a plus, but not necessary – we welcome candidates with strong technical backgrounds who are looking for more exposure to economics and finance before applying to graduate school.
The position is based in New York City, and the successful candidate will be able to participate in the academic life at NYU, including the ability to attend research seminars and PhD courses.
c. Your familiarity with statistical programming languages and machine learning packages
d. Your prior experience as a research assistant and with independent research
2. A CV and an unofficial transcript
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