Funded Ph.D. Student: Explore the exciting opportunity to join a funded Ph.D. program in Urban Analytics Research at the University of North Carolina at Charlotte. This National Science Foundation (NSF) project delves into the interconnected factors shaping neighborhood change processes. We are now accepting applications for the 2024 Fall cohort.
Summary Table:
| Position | Funded Ph.D. Student in Urban Analytics Research |
|---|---|
| Study Area | Urban Analytics Research |
| Scholarship Description | Investigate the roles of amenities, residential preferences, mortgage lending practices, and real estate advertisements in neighborhood change processes. |
| Eligibility | Master’s degree in Geography, Planning, Economics, Data Science, or related field; admission into the Geography Ph.D. or Public Policy Ph.D. program at UNC Charlotte; strong quantitative methods background; research interest in urban and housing issues; familiarity with at least one programming language (Python, etc.). |
| Required Documents | 1. Letter about research interests and experience; 2. CV; 3. Unofficial transcripts; 4. Writing samples and/or publications if applicable. |
| How to Apply | Prospective applicants are encouraged to contact Dr. Isabelle Nilsson (i.nilsson@charlotte.edu) with the required documents by February 15, 2024. |
| Last Date | February 15, 2024 |
Study Area: Urban Analytics Research
Scholarship Description:
Funded Ph.D. Student in Urban Analytics Research
The funded Ph.D. position offers a unique opportunity to contribute to the investigation of how various factors, such as amenities, residential preferences, mortgage lending practices, and real estate advertisements, shape neighborhood change processes. This NSF-funded project is a collaborative effort between Dr. Isabelle Nilsson at UNC Charlotte and Elizabeth Delmelle at UPenn. The research will primarily focus on predicting changes in the income and racial composition of mortgage applicants based on various socio-economic and housing market variables. The RA will employ advanced statistical methods and assist in the development of an innovative textbook on emerging applications of natural language processing techniques for solving spatial problems.
Eligibility: To be considered for this scholarship position, applicants should meet the following criteria:
- Hold a Master’s degree in Geography, Planning, Economics, Data Science, or a related field.
- Be admitted into the Geography Ph.D. or Public Policy Ph.D. program at UNC Charlotte.
- Possess a strong foundation in quantitative methods.
- Demonstrate a research interest in urban and housing issues.
- Have familiarity with at least one programming language (e.g., Python).
Required Documents: Interested candidates are requested to submit the following documents:
- A letter describing their research interests and relevant experience.
- A comprehensive Curriculum Vitae (CV).
- Unofficial transcripts from their previous academic institutions.
- Writing samples and/or publications if applicable.
How to Apply: Prospective applicants are encouraged to contact Dr. Isabelle Nilsson (i.nilsson@charlotte.edu) and submit the required documents by 15 February 2024.
Last Date: The application deadline for this exciting Ph.D. opportunity is February 15, 2024. Don’t miss out on the chance to be part of cutting-edge urban analytics research at UNC Charlotte.
