University of North Carolina at Charlotte, Mathematics and Statistics

Position ID: UNCCharlotte-POSTDOC [#16387, POST40]
Position Title: Postdoctoral Fellow in Inverse Problems
Position Type: Postdoctoral
Position Location: Charlotte, North Carolina 28223-0001, United States [map] sort by distance
Subject Area: Inverse Problems
Application Deadline: 2020/11/15 11:59PMhelp popup finished (2020/10/02, finished 2021/05/22, listed until 2021/04/02)
Position Description:    

*** this position has been closed. ***

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 three years, subject to a budget approval. The successful candidate will work under the supervision of Professor Taufiquar Khan. The research of this candidate will be focused on exploring computational aspects of solving an inverse problem using artificial intelligence approaches such as machine learning with applications to imaging. The candidate is also expected to have sufficient background on regularization of ill-posed inverse problems arising from coefficient inverse problems involving partial differential equations.

The position will begin in January, 2021 (pending hiring and possible visa paperwork) and the candidate will be paid $48,000, 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. Sarah Hornbeck (srhornbe@uncc.edu) Questions about these positions may be directed to Ms. Sarah Hornbeck.

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.

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.)


We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://jobs.uncc.edu/ external link.
Contact: Sarah Hornbeck, 704-687-5581
Email: email address
Postal Mail:
Department of Mathematics and Statistics
UNC Charlotte
9201 University City Blvd
Charlotte, NC 28223
Web Page: https://jobs.uncc.edu/