Position Information
General Information
Position Number
POST40
Working Title
Postdoctoral Fellow in Industrial & Systems Engineering
Division
Academic Affairs
Department
College of Engineering (Col)
Work Unit
Dept of Industrial & Systems Engin
Work Location
Smith
Vacancy Open To
All Candidates
Position Designation
Post Doc
Employment Type
Temporary - Part-time
Hours per week
40
Work Schedule
Varies
Pay Rate
Pay Rate varies
Minimum Experience/Education
The Postdoctoral appointee must have recently (within the last eight years) been awarded a Ph.D.
Departmental Preferred Experience, Skills, Training/Education:
- Ph.D. in Industrial Engineering, Operations Research, Industrial and Systems Engineering, Computer Science, or a closely related quantitative discipline
- A strong experimental and theoretical background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning
- Demonstrated experience in developing, analyzing, and implementing optimization algorithms and/or machine learning models for complex systems or real-world applications
- Experience with large-scale optimization or deep learning systems is highly desirable
Duties and Responsibilities
The Postdoctoral Fellow will conduct advanced research in deep learning, with a focus on optimization design and/or the application of deep learning methods to complex real-world problems. The position aims to develop novel algorithms, improve model efficiency and performance, and translate theoretical advances into practical solutions across relevant domains. The Fellow will contribute to scholarly publications, and support ongoing research initiatives with the supervisor.
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 the following conditions:
* the appointee was recently (within the last eight years) awarded a Ph.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 Fellow is expected to exercise a high degree of independent judgment in the design, execution, and interpretation of research activities. The Fellow will be responsible for selecting appropriate methodological approaches in deep learning and optimization, formulating research problems, and determining suitable experimental and analytical strategies.
Necessary Licenses or Certifications
Proposed Hire Date
06/01/2026
Contact Information
Expected Length of Assignment
One year
Posting Open Date
04/20/2026
Posting Close Date
Special Notes to Applicants
Please upload the following documents with your electronic submission:
1. Cover letter
2. Curriculum Vitae.
4. Contact information for three references
Finalists will be required to complete a criminal background check and
submit their official transcripts.
