Post-Doctoral Fellow

Posting Summary

Logo For Posting
Posting Number	RTF00049PO24
USC Market Title	Post Doctoral Fellow
Link to USC Market Title	https://uscjobs.sc.edu/titles/156385
Business Title (Internal Title)	Post-Doctoral Fellow
Campus	Columbia
Work County	Richland
College/Division	College of Arts and Sciences
Department	CAS Mathematics
Advertised Salary Range	$56,000 - $60,000
Location of Vacancy
Part/Full Time	Full Time
Hours per Week	37.5
Work Schedule	Monday – Friday, 8:30am – 5:00pm Must be willing to work a flexible schedule to meet the needs of the department.
Type of Staff Position	Staff Research Grant (SRGP)
Basis	12 months
Job Search Category	Post-doctoral

About USC

About University of South Carolina

From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

Inclusive Excellence Statement

At the University of South Carolina, we strive to cultivate an inclusive environment that is open, welcoming, and supportive of individuals of all backgrounds. We recognize diversity in our workforce is essential to providing academic excellence and critical to our sustainability. The University is committed to eliminating barriers created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees.

Benefits for Research Grant or Time-Limited Positions Are Indicated Below

The University of South Carolina (UofSC), through the State of SC and Public Employee Benefit Authority (PEBA), offers employees a valuable benefits package, including health and life insurance, generous paid leave and retirement programs. To learn more about UofSC benefits, access the About Benefits section on the Applicant Portal at uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding.

South Carolina Retirement	No
State Insurance Programs	Yes
Annual Leave	Yes
Sick Leave	Yes

Position Description

Advertised Job Summary	The candidate is expected to contribute to data-driven and mechanistic modeling as well as simulations of complex systems pertinent to the comprehensive NSF project. This position is aimed at bringing in specialists to fill knowledge and skill gaps in the research teams.
Required Education and Experience	Candidates must have a Ph.D. in Mathematics or fields related to AI for science by the start date of employment, an outstanding research record, and a commitment to prepare for future effective teaching at the university level.
Preferred Qualifications	Ph.D. in Mathematics
Knowledge/Skills/Abilities	The candidate is expected to contribute to data-driven and mechanistic modeling as well as simulations of complex systems pertinent to the comprehensive NSF project. The targeted research areas include modeling and simulation of ion transport in complex geometries, fluid and structure interaction in complex geometries, phase separation in complex fluids, phase-field fracture modelling of solids dynamics and simulation, efficient and highorder numerical approximations for thermodynamically consistent PDEs, reduced order modeling of high dimensional data, feature extraction in medical data, discovery of dynamical systems from time series data, machine-learning inspired numerical methods for partial differential equations, data generation from small datasets, etc.

Job Duties

Job Duty	Research in modeling of complex biological systems. Develop models and modules for AI-enabled digital twins and their applications to various biomedical devices and diseases such as cancer, sepsis, diabetes, and tissue engineering. Carry out analyses of the models. Develop models and digital twin framework based on patient longitudinal data leveraging cutting-edge AI technologies.
Essential Function	Yes
Percentage of Time	40

Job Duty	Research in the development of advanced numerical algorithms and codes for AI-enabled digital twin technologies. Design advanced numerical algorithms for partial differential equations and optimization problems related to digital twin technology. Implement the models and algorithms on GPUs and mainframe computing platforms.
Essential Function	Yes
Percentage of Time	40

Job Duty	Mentoring graduate and undergraduate students. Assist the PI (Qi Wang) to mentor graduate and undergraduate students in Wang’s research group. Work with graduate and undergraduate students on their research projects and provide technical assistance on computational issues. Training postdocs and students is a major part of this NSF project.
Essential Function	Yes
Percentage of Time	10

Job Duty	Service to the research group and the professional community. Assist the PI in the preparation of research grant proposals and manuscript submission. Training postdocs in the writing and submission of grant proposals and scientific papers is a major part of the postdoc training scheme and one of the objectives of the project.
Essential Function	Yes
Percentage of Time	10

Position Attributes

Hazardous weather category	Non-Essential
Employees in Safety-Sensitive or Security-Sensitive positions will be subject to pre-employment and post-employment drug testing in accordance with University policy HR 1.95 Drug and Alcohol Testing.	No

Posting Detail Information

Number of Vacancies	1
Desired Start Date	03/16/2024
Position End Date	12/31/2026
Job Open Date	02/16/2024
Job Close Date	05/16/2024
Open Until Filled	No
Special Instructions to Applicant	Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time. This employment site is updated on a regular basis. The length of the recruitment and screening process may vary from position to position, depending upon a variety of factors. Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.    We are only accepting applications submitted by May 16, 2024.
Quicklink for Posting	https://uscjobs.sc.edu/postings/164134
EEO Statement	The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.