Posting Summary

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Posting Number	STA01253PO23
Job Family	Research
Job Function	Research
USC Market Title	Post Doctoral Fellow
Job Level	R1 - Research
Business Title (Internal Title)	Post Doctoral Fellow
Campus	Columbia
Work County	Richland
College/Division	College of Arts and Sciences
Department	CAS Psychology
State Pay Band	Unclassified
Approved Starting Salary	Commensurate with qualifications
Advertised Salary Range	$65,000
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 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.

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 (USC), 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 USC 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	The Postdoctoral Fellow will assist the Principal Investigator and Co-Investigators in developing and extending NiiVue. This software leverages the collective wisdom of the AFNI, brainlife, FSL, FreeSurfer, neurodesk and nilearn teams to provide visualization for the data generated in our domain (voxels, meshes, connectomes, and statistical overlays). This individual is responsible for developing NiiVue and integrating it into deployed applications and jupyter notebooks. The ideal candidate will have experience with the JavaScript and Python programming languages as well as the tools, workflows and terminology of the neuroimaging domain. This position could be filled by someone seeking to be a full time software developer or one interested in an academic position. In the latter case, the candidate should have the skills to develop scientific papers and grants.
Minimum Qualifications	PhD degree in area of specialty (neuroimaging, computer programming, data science) and the ability to develop JavaScript code and work effectively with a motivated international team of developers.
Preferred Qualifications	PhD degree in relevant field: Computer Programming, Neuroscience.
Knowledge/Skills/Abilities	Experience with computer programming. The ideal candidate will be proficient in JavaScript, Matlab, React, and Python. Experience with languages that can be compiled to web assembly, WebGL and neuroimaging (in particular user interfaces) are assets. Candidate should have some of these skills and aptitude and motivation to develop the rest.

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	01/01/2024
If Research Grant/Time Limited, give end date	12/31/2025
Job Open Date	10/09/2023
Job Close Date	11/23/2023
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 November 23, 2023. The University of South Carolina offers a valuable benefits package including but not limited to: Health and Life Insurance Retirement Programs Paid Tuition Dependent Scholarships Annual Leave Sick Leave 13 Paid Holidays (including an extended December holiday) Paid Parental Leave Professional Development Opportunities Click here to learn more about why you should work at USC.
Quicklink for Posting	https://uscjobs.sc.edu/postings/154555
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.