Posting Summary

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Posting Number	STA00879PO23
Job Family	Research
Job Function	Research
USC Market Title	Post Doctoral Fellow
Job Level	R2 - Research
Business Title (Internal Title)	Postdoctoral Fellow
Campus	Columbia
Work County	Richland
College/Division	College of Arts and Sciences
Department	CAS Psychology
State Pay Band	Unclassified
Approved Starting Salary	Salary Commensurate with qualifications
Advertised Salary Range	Salary commensurate with qualifications
Location of Vacancy
Part/Full Time	Full Time
Hours per Week	37.5
Work Schedule	Standard working schedule: 8:30am – 5:00pm Must be willing to work a flexible schedule to meet the needs of the department.
Type of Staff Position	Research Grant (RGP)
Basis	12 months
Job Search Category	Post-doctoral

About UofSC

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.

Diversity 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 FTE, 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.

Benefit Eligibility Type	Research Grant (RGP)
South Carolina Retirement	Yes
State Insurance Programs	Yes
Annual Leave	Yes
Sick Leave	Yes

Position Description

Advertised Job Summary	Under the general supervision of the Principal Investigator (PI) in the Department of Psychology in the College of Arts and Sciences at the University of South Carolina, the successful candidate for this position will work on a research study to develop and evaluate statistical methods for longitudinal mediation analysis of intensive longitudinal data, such as that collected from mobile or wearable devices. The duties of this position are to: (1) develop new statistical methods, analyze existing data using those methods, and evaluate those methods using Monte Carlo simulation studies; (2) prepare conference proceedings, professional presentations, and journal articles for publication; and (3) contribute to development and submission of research grant funding proposals.
Minimum Qualifications	Doctoral degree in quantitative psychology or closely related field (e.g,. biostatistics, statistics, epidemiology, etc.) by start date of employment, plus expertise in the following: programming in R, strong work ethic, excellent written and communication skills, causal inference, mediation, longitudinal data, and statistical computing (e.g., developing R packages). These skills could have been gained during the normal course of a doctoral degree program.
Preferred Qualifications
Knowledge/Skills/Abilities	Doctoral degree in quantitative psychology or computer science, statistics, or related field, plus the following: experience in statistical analysis and computer programming in R and Python, strong work ethic, and excellent written and communication skills. Expertise or experience in any of the following areas is desirable: scientific and parallel computing, time series/ longitudinal data, and machine learning. These skills, expertise and knowledge could have been gained during the normal course of a doctoral degree program.

Position Attributes

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.

Safety Sensitive or Security Sensitive	No
Hazardous weather category	Non-Essential

Posting Detail Information

Number of Vacancies	1
Desired Start Date	08/01/2023
If Research Grant/Time Limited, give end date	07/31/2025
Job Open Date	07/12/2023
Job Close Date	08/26/2023
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 August 26, 2023
Quicklink for Posting	https://uscjobs.sc.edu/postings/148019
EEO Statement	The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.