Post-Doctoral Fellow

Job description


Posting Number:


Classification Title:

Post Doctoral Fellow

Internal Title:

Post-Doctoral Fellow



Work County:



College of Engineering and Computing


CEC Computer Science and Engineering

Band :


Advertised Minimum Salary :

Salary commensurate with qualifications.

Advertised Salary Range:

Salary commensurate with qualifications.

Part/Full Time:

Full Time

Hours per Week:


Work Schedule:

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:


Benefit Eligibility Type:

Research Grant (RGP)

South Carolina Retirement:


State Insurance Programs:


Annual Leave:


Sick Leave:


Advertised Job Summary:

The Artificial Intelligence Institute (AI) within the College of Engineering and Computing seeks to fill the position of Post-Doctoral Fellow to perform research in advanced analysis of sensor data using deep learning methods and synthetic control; develop new strategies for improving learning techniques using Knowledge Graphs; explain insights using Natural Language Processing (NLP); assist faculty in the tasks of mentoring junior research students, writing publications, giving technical presentations and managing grants.

Minimum Qualifications (Classified and Unclassified positions):

PhD in Computer Science or Computer Science & Engineering must be earned by start date.

Preferred Qualifications:

Demonstrable knowledge of preferably three (3) or more subjects of relevance to activities at AI Institute at UofSC with the emphasis on Machine Learning including Deep Learning and Natural Language Processing Vision. Experience in (preferably demonstrated through publications in top AI conferences and journals): Machine/Deep Learning algorithms, Sensor Data management, Explanation methods and NLP techniques. Experience and/or interest in applying research to smart city (water, traffic), medical (individual, public health) and/or education domains. Experience of effectively using GPU and/or cloud computing environments involving multimodal big data.


Demonstrated success in high-quality publications in the field of candidate’s expertise. Demonstrable knowledge of at least two (2)subjects of relevance to activities with emphasis on Machine Learning, including Deep Learning and Natural Language Processing Vision.
The candidate should have high interest in being trained for a future academic career and should have experience with literature review, experimental research, evaluation, data collection, and analysis with scientific thinking. The candidate should have strong technical writing skills as evidenced by publishing in top venues in the candidate’s main research area.
Strong programming and systems experience need, including (a) competency in one key language, preferably Python, (b) deep learning frameworks (TensorFlow, PyTorch, etc.), and © data management methods for handling large data.

Safety Sensitive or Security Sensitive:


Hazardous weather category:


Number of Vacancies:


Desired Start Date:


If Research Grant/Time Limited, give end date:


Job Open Date:


Job Close Date:


Open Until Filled:


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 January 29, 2021

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:

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.




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Job No:
Posted: 12/16/2020
Application Due: 1/29/2021
Work Type: Full Time