Postdoctoral Researcher (Tabkhi)
General Information
Position Number POST40
Working Title Postdoctoral Researcher (Tabkhi)
Division Academic Affairs
Department College of Engineering (Col)
Work Unit Electrical & Computer Engineering
Work Location EPIC
Vacancy Open To All Candidates
Position Designation Post Doc
Employment Type Temporary - Part-time
Hours per week 40
Work Schedule
Monday through Friday 8am-5pm
Pay Rate 54,000
Minimum Experience/Education
The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D. or equivalent doctorate (e.g., Sc.D., M.D.)
Departmental Preferred Experience, Skills, Training/Education:
PhD in Computer Engineering or related area
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
The postdoctoral researcher will contribute to the development, deployment, and evaluation of advanced AI and computer vision systems in real-world urban environments. The work will focus on building and operating AI testbeds across multiple pilot sites and heterogeneous camera infrastructures in Uptown Charlotte. Responsibilities will include developing robust video analytics and human activity understanding algorithms, integrating AI models with existing camera systems, designing deployment and evaluation pipelines, and assessing system performance under realistic variations in viewpoint, lighting, crowd density, environmental conditions, and camera configuration. A key objective will be to understand how AI systems developed in controlled research settings can be translated into reliable, scalable, and privacy-conscious solutions for complex real-world environments.
The researcher will also lead longitudinal evaluation studies across multiple deployment sites and camera networks to measure system reliability, generalizability, and operational performance over extended periods of time. This will include developing quantitative evaluation methodologies, monitoring model performance across changing conditions, analyzing false positives and failure modes, and investigating strategies for adaptation and continuous improvement. The position will involve close collaboration with university researchers and community and industry partners in Charlotte, with opportunities to work directly with real-world datasets, deployed sensing infrastructure, and large-scale field studies.
Necessary Licenses or Certifications
Proposed Hire Date 01/02/2027
Contact Information
Expected Length of Assignment 12
Posting Open Date 10/21/2026
Posting Close Date
Special Notes to Applicants