Post Doctoral FellowInternal Title:
College of Engineering and ComputingDepartment:
CEC Computer Science and EngineeringBand :
UnclassifiedAdvertised Minimum Salary :
Salary commensurate with qualifications.Advertised Salary Range:
Commensurate with Education and ExperiencePart/Full Time:
Full TimeHours per Week:
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 monthsJob Search Category:
Post-doctoralBenefit 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.
Duties include: Research in Semantic Web, Smart Internet of Things/Web of Things, Image and Video Analysis, Semantic Web enhanced Software Engineering; Applied Research in Internet 4.0 or Smart Manufacturing, Cloud and Edge Computing, Cyber-Physical Systems; Research prototyping and evaluation, Research Project Management, Proposal Development Support; and 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.
NoHazardous weather category:
Non-EssentialNumber of Vacancies:
1Desired Start Date:
11/16/2020Job Open Date:
10/19/2020Job Close Date:
12/03/2020Open Until Filled:
NoSpecial 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 December 3, 2020.
Applicants must use legal full name when responding to the posting. Be sure to include all relevant work history, as it is used to evaluate your qualifications for the position.
Applicants should be prepared to upload a resume, cover letter, and the names and contact information (to include valid telephone numbers and email addresses) for at least two (2) references.
Your reference/recommendation letters should be submitted via this online system directly by your referees. Your reference providers will receive an email notification based on the contact information that you provide on your application.
Should review of your qualifications result in a decision to pursue your candidacy, you will be contacted by phone or email.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.