Massachusetts Institute of Technology: Research Scientist in Real Estate
The MIT Center for Real Estate (MIT/CRE), within the School of Architecture and Planning (SA+P), seeks a specialized econometrician to play a lead role in a new research platform dedicated to the study of real estate price dynamics. The holder of this research scientist position is expected to be an intellectual leader in building and growing this research platform. Example types of studies could include development of new asset and space market price indexing methodologies, innovation of analytical tools useful in studying and understanding property price evolution, and exploration of the cutting edge of the field, including use of “big data,” “crowd sourced” data, machine learning, and artificial intelligence. The person in this position will work closely with the MIT/CRE director of research and data, contributing industry partners of the center, and more broadly with MIT faculty and research staff both within the SA+P and the campus broadly.
- Ph.D. in finance or economics with a specialty in econometrics and real estate price indexing (international range of application being a plus)
- Minimum of five years’ research experience and a track record of published work in the areas of real estate price indices and econometrics
- Experience building database platforms using a variety of programming languages
- Experience supervising research, both at the undergraduate and graduate levels
- Experience presenting papers at conferences
- Outstanding interpersonal and relationship management skills for relating to a wide diversity of faculty, staff, students, and external stakeholders; advanced writing, verbal communication, and presentation skills
- Experience presenting research findings to diverse audiences, including technical experts and policy practitioners in industry and government
- Excellent project management skills
- Expertise and experience in advanced time-series financial modelling and econometrics, including applied Bayesian Inference using MCMC (Markov-Chained Monte-Carlo) and the Kalman Filter
- Research experience at international venues
For more information, and to apply please visit (referencing job #14497): careers.mit.edu
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.
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last updated 26-Feb-2017