SUL Postdoctoral Associate
POSTDOCTORAL ASSOCIATE, Center for Real Estate - Sustainable Urbanization Lab
to work with Prof. Siqi Zheng on the theme of "Urban and Real Estate Resilience"; conduct empirical research on the holistic approach to resilience strategies in urban, housing and commercial real estate sectors; conduct high-quality empirical research on topics such as urban and real estate resilience investment decision-making, behavioral and market dynamics, and public policies; manage projects and maintain effective communication with sponsors; prepare and publish high-quality research articles in peer-reviewed journals; co-teach or serve as a teaching assistant (TA) for related courses in collaboration with Prof. Zheng and other faculty members; and mentor graduate and undergraduate students involved in related research projects.
Job Requirements
REQUIRED: Ph.D. in urban economics, real estate, urban studies, environmental studies, or related fields; strong skills in econometrics, statistical modeling, spatial data analysis, and basic machine learning methods; demonstrated ability to produce high-quality research, as evidenced by publications or preprints; excellent written and oral communication skills; and demonstrated ability to work both independently and as part of a team. PREFERRED: Experience with specific tools, methods, or areas relevant to the role (e.g., econometrics, spatial analysis, basic machine-learning methods); experience in interdisciplinary research settings; and interest in themes or goals related to the project.
To apply, please submit the following materials: A cover letter summarizing your research interests, expertise, and motivation for applying to this position; a current curriculum vitae (CV); copies of up to 3 representative publications or preprints; and contact information for 2 references who can provide letters of recommendation.
The appointment is anticipated to start in spring/summer 2026 and will be for 2 years, with the potential for renewal based on performance and funding availability.
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