PhD in Geography, Data Science, Computer Science, or a closely related field (completed or expected before start date).
Strong skills in programming (e.g., Python, R) and reproducible research workflows.
Strong written and oral communication skills, including evidence of peer-reviewed publications or manuscripts in preparation.
Demonstrated experience applying deep learning techniques in geospatial or spatial data analysis (required).
Experience with generative AI models (e.g., diffusion models, VAEs, GANs) is highly desirable.
Experience working with large language models (LLMs) for text, spatial, or multimodal analysis is an asset.
Duties and Responsibilities
A Postdoctoral Fellow (""postdoc"") is a professional apprenticeship designed to provide recent Ph.D. recipients with an opportunity to develop further the research skills acquired in their doctoral programs or to learn new research techniques, in preparation for an academic or research career. In the process of further developing their own research skills, it is expected that Postdoctoral Fellows will also play a significant role in the performance of research at the University and augment the role of graduate faculty in providing research instruction to graduate students. A Postdoctoral Fellow works under the supervision of a regular faculty member, who serves as a mentor to the Fellow, and it is expected that the faculty mentor will impart the realities, and variety, of scientific careers, and will encourage experiences outside the laboratory to broaden postdocs' aspirations. Within the confines of the particular research focus assigned by that faculty member, the Postdoctoral Fellow functions with a considerable degree of independence and has the freedom (and is expected) to publish the results of his or her research or scholarship during the period of appointment. Thus, the role of Postdoctoral Fellows is clearly differentiated from full-time technical employees.
Postdoc appointments are characterized by all of the following conditions:
the appointee was recently (within the last eight years) awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.);
the appointment is temporary;
the appointment involves substantially full-time research or scholarship;
the appointment is viewed as preparatory for a full-time academic and/or research career;
the appointee works under the supervision of a faculty member; and
the appointee has the freedom and is expected to publish the results of his or her research or scholarship during the period of appointment.
As an EOE/AA employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups. Applicants subject to criminal background check.
Other Work/Responsibilities
Work closely with the PI on an NSF-funded project involving geospatial modeling, AI/GeoAI methods, and spatial data integration.
Design, implement, and evaluate deep learning and/or generative AI models using large-scale geospatial and related datasets.
Contribute to data management, documentation, and preparation of materials for NSF annual reports.
Lead and co-author manuscripts for peer-reviewed journals.
Present research findings at national and international conferences.
Collaborate with graduate and undergraduate students in the research group as appropriate.
Necessary Licenses or Certifications
Proposed Hire Date
01/15/2026
Contact Information
Dr. Yao Li
Email - yao.li@charlotte.edu
Phone - 443-603-8963
Expected Length of Assignment
1 year, and can be extended based on performance and funding conditions
Posting Open Date
11/17/2025
Posting Close Date
12/31/2025
Special Notes to Applicants
If you are interested, please contact Yao Li - yao.li@charlotte.edu - with a copy of your CV along with contact
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Job Detail
Job Id
JD6073027
Industry
Not mentioned
Total Positions
1
Job Type:
Full Time
Salary:
52000.0 58000.0 USD
Employment Status
Permanent
Job Location
Charlotte, NC, US, United States
Education
Not mentioned
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