We are in need of an expert Postdoctoral Fellow to join our knowledgeable team at University of South Carolina in Columbia, SC.
Growing your career as a Full Time Postdoctoral Fellow is an awesome opportunity to develop valuable skills.
If you are strong in time management, project management and have the right attitude for the job, then apply for the position of Postdoctoral Fellow at University of South Carolina today!
Logo: 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
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 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.
Benefit Eligibility Type: Research Grant (RGP)
South Carolina Retirement: Yes
State Insurance Programs: Yes
Annual Leave: Yes
Sick Leave: Yes
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.
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.
Safety Sensitive or Security Sensitive: No
Hazardous weather category: Non-Essential
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: 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.
Benefits of working as a Postdoctoral Fellow in Columbia, SC:
? Excellent Benefits Package
? Advancement opportunities
? Advantageous package
