132,210 Jobs at 2,116 Institutions.
|USC Market Title||Post Doctoral Fellow|
|Internal Title||Post-Doctoral Fellow|
|College/Division||College of Engineering and Computing|
|Department||CEC Computer Science and Engineering|
|State Pay Band||Unclassified|
|Advertised Minimum 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|| |
The standard hours the employee is expected to work is 37.5 hours per week; one hour for lunch.
Must be willing to work a flexible schedule to meet the needs of the department.
|Type of Staff Position||Research Grant (RGP)|
|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 bachelorâ€™s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service â€” 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||No|
|State Insurance Programs||Yes|
|Advertised Job Summary|| |
The Artificial Intelligence Institute (AI) within the College of Engineering and Computing seeks to fill the position of Post-Doctoral Fellow whose interests are gaining additional training in research, mentoring, and professional development to promote competence in a research career in academia or industry. The post-doctoral fellow will receive training at the AI Institute at UofSC, under the mentorship of its director, Professor. Amit Sheth. The post-doctoral fellow will:
|Minimum Qualifications|| |
PhD in Computer Science or Computer Science & Engineering must be earned by start date.
|Preferred Qualifications|| |
Demonstrated success in high-quality publications in the field of candidateâ€™s expertise. Demonstrable knowledge of three or more subjects of relevance to activities identified at AI Institute at UofSC with the emphasis on technologies that can support interdisciplinary AI research in smart manufacturing, edge AI, digital health involving Internet of Things (IoTs), and disaster coordination involving analysis of sensor, image, and video data. The candidate should have high interest in being trained for a future research career and should have expertise with experimental research, software development methodology, evaluation, data collection, and analysis with scientific thinking. The candidate should have strong technical writing skills as evidenced by dissemination including publishing in high quality venues in the candidateâ€™s main research area, open sourcing, and demonstration. Strong programming and systems expertise need, including (a) competency in one key language, preferably Python, (b) artificial intelligence/deep learning frameworks (TensorFlow, PyTorch, Keras, Python ML libraries, etc.), andÂ© cloud computing and backend technologies. Ansible, Docker
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||03/01/2023|
|If Research Grant/Time Limited, give end date||02/28/2025|
|Job Open Date||11/02/2022|
|Job Close Date||12/17/2022|
|Open Until Filled||No|
|Special Instructions to Applicant|| |
A resume will not be accepted in lieu of a completed application.
Make certain to provide the following information on the application:
Applicants should be prepared to provide/upload:
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.Â
We are only accepting applications submitted by December 17, 2022.
|Quicklink for Posting||https://uscjobs.sc.edu/postings/131685|
|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.
*Please mention you saw this ad on AcademicJobs.*