Postdoctoral Fellow in Industrial & Systems Engineering

UNC Charlotte Applicant Site • University City, NC

9d

About The Position

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.

Requirements

• Recent Ph.D. award (within the last eight years).
• Substantially full-time research or scholarship.
• Preparatory for a full-time academic and/or research career.
• Works under the supervision of a faculty member.
• Freedom and expectation to publish research or scholarship results during the appointment period.

Responsibilities

• 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.
• Develop novel algorithms, improve model efficiency and performance, and translate theoretical advances into practical solutions across relevant domains.
• Contribute to scholarly publications.
• Support ongoing research initiatives with the supervisor.
• Play a significant role in the performance of research at the University.
• Augment the role of graduate faculty in providing research instruction to graduate students.
• Function with a considerable degree of independence within the research focus assigned by the faculty member.
• Publish the results of his or her research or scholarship during the period of appointment.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree