The University of North Carolina at Charlotte Hiring for Postdoctoral Fellow in Machine Learning for Trust Worthy AI at Fretwell Full Time

POST40

Working Title:

Postdoctoral Fellow in Machine Learning for Trust Worthy AI

Division:

Academic Affairs

Department:

Col Liberal Arts & Science (Col)

Work Unit:

Mathematics and Statistics

Work Location:

Fretwell

Vacancy Open To:

All Candidates

Position Designation:

Post Doc

Employment Type:

Temporary – Part-time

Hours per week:

40

Pay Rate:

70,000

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.)

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 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. The candidate chosen for this position will be required to provide an official transcript of their highest earned degree. The candidate chosen for this position will be subject to a criminal background check.

Proposed Hire Date:

08/15/2023

Expected Length of Assignment:

12 months

Posting Open Date:

06/02/2023

Posting Close Date:

01/04/2024

Special Notes to Applicants:

Please upload the following documents with your electronic submission: 1) Cover letter 2) Curriculum vita 3) Research interest statement 4) One to three papers/preprints reflecting your research experience in artificial intelligence approaches for trustworthy model risk validation with applications to finance.Applications are invited for a postdoctoral research position at the University of North Carolina at Charlotte. The duration of this position is a one-year position with a possibility of renewal up to one additional year, subject to a budget approval. The successful candidate will work under the supervision of Professor Taufiquar Khan with additional mentorship from Charlotte’s banking industry. The research of this candidate will be focused on evaluation and testing of AI/ML and Deep Learning based algorithms and identifying model weakness and improvement for solving industry relevant problems, in particular ensuring applications of AI/ML are robust, reliable resilient and as fair and free from bias as possible. The candidate is also expected to have sufficient background on statistical and deterministic machine learning, model risk validation, and uncertainty quantification. This postdoctoral fellowship should help prepare for research careers in the industry or careers involving industrial interactions in the academy. The postdoc is expected to spend half of their time on industry applications of trustworthy AI and half to their own research. Industrial postdocs will receive a lot of guidance and opportunities for collaboration with their industry mentor. This position is funded by the School of Data Science. The main goal of the fellow is to conduct research and provide the opportunity to network and collaborate with our industry partner.
The position will begin on August 15, 2023, and the candidate will be paid $70,000, annually. Interested candidates are welcome to send their curriculum vitas, a brief (max one page) statement of research interests and one to three papers/preprints reflecting their research experience to https://jobs.uncc.edu (please click “Post Doc.”). In addition to submitting your application electronically, please email your materials to Professor Khan’s assistant, Ms. Jennifer Bagby ([email protected]) Questions about this position may be directed to Ms. Jennifer Bagby. .
The School of Data Science is an interdisciplinary unit governed by five colleges. It offers a BS and two MS degrees with another BS and a PhD in development. The School has grown quickly to more than 500 students and is continuing to evolve with the needs of the students, university, and community. The School was formed in January 2020 and is the first School of Data Science in the Carolinas. The School teaches and researches methods to apply statistics and computer science to areas of passion of the students and faculty. These vary from the ethical application and use of data, to communication studies, business, healthcare, political science, transportation, engineering and more. The School is striving to improve the world through the appropriate use of data. As the largest and most diverse college at UNC Charlotte, the College of Liberal Arts & Sciences houses 21 departments in the humanities, social and behavioral sciences, natural sciences and mathematics, and military sciences, as well as 28 applied research centers and interdisciplinary programs. With its 35 graduate degrees and 78 undergraduate degree options, the College is connected to the world and its concerns and is particularly supportive of the greater Charlotte region.The University of North Carolina at Charlotte is a doctoral, research-intensive urban university, located on an expanding modern campus. The second largest of the 16 UNC System campuses, UNC Charlotte offers more than 30,000 culturally and ethnically diverse students a wide range of undergraduate and graduate degree programs. The University is a Carnegie Foundation Community Engagement campus and an APLU Innovation and Economic Prosperity University. It supports faculty with excellent family and medical leave policies, junior faculty development awards, internal faculty research grant opportunities, and other research opportunities. Charlotte offers a dynamic space to live, work and connect for faculty, students, alumni, and staff, with its outstanding cultural, recreational, and business amenities. As the 15th largest U.S. city, Charlotte is consistently ranked one of the best cities to live (#20 by U.S. News & World Report.) 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. The candidate chosen for this position will be required to provide an official transcript of their highest earned degree. The candidate chosen for this position will be subject to a criminal background check.