STA01589PO22USC Market Title:
Post Doctoral FellowInternal Title:
College of Engineering and ComputingDepartment:
CEC Computer Science and EngineeringState Pay Band:
UnclassifiedAdvertised Minimum Salary :
Salary commensurate with qualifications.Advertised Salary Range:
Salary commensurate with qualifications.Part/Full Time:
Full TimeHours per Week:
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)Basis :
12 monthsJob Search Category:
Post-doctoralAbout 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:
NoState Insurance Programs:
YesAdvertised 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:
- Perform research in Semantic Web, Smart Internet of Things/Web of Things, Image and Video Analysis, Semantic Web enhanced Software Engineering.
- Use Applied Research in Internet 4.0 or Smart Manufacturing, Cloud and Edge Computing, Cyber-Physical Systems to execute research efforts
- Perform Research in prototyping and evaluation, Research Project Management, Proposal Development Support.
- Assist and write publications (writing, related travels), technical presentations, mentoring of Junior research students.
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 candidate’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 candidate’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.), and© cloud computing and backend technologies. Ansible, DockerSafety Sensitive or Security Sensitive:
NoHazardous weather category:
Non-EssentialNumber of Vacancies:
1Desired Start Date:
03/01/2023If Research Grant/Time Limited, give end date:
02/28/2025Job Open Date:
11/02/2022Job Close Date:
12/17/2022Open Until Filled:
NoSpecial 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:
- Your Legal Name
- Start and End Dates for All Inactive Jobs for which you are not actively employed
- All information entered on your application is taken into consideration when reviewing your qualifications, etc. No assumptions are made for employment end-dates based on the next or previous job listed on the application.
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.
- Cover letter
- Upload, at minimum, two (2) recommendation letters; three (3) letters preferred
- Names and contact information for reference providers
We are only accepting applications submitted by December 17, 2022.
Quicklink for Posting:
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.