Posting DetailsPosting Summary LogoPosting NumberSTA00536PO19Classification TitlePost Doctoral FellowInternal TitlePost-Doctoral ResearcherCampusColumbiaWork CountyRichlandCollege/DivisionCollege of Engineering and ComputingDepartmentCEC Computer Science and EngineeringBand UnclassifiedAdvertised Minimum Salary Salary commensurate with qualifications.Advertised Salary Rangecommensurate with education and experienceLocation of VacancyPart/Full TimeFull TimeHours per Week37.5Work 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 PositionResearch Grant (RGP)Basis 12 monthsJob Search CategoryOther About UofSC
The University of South Carolina System is comprised of the state's flagship university in Columbia (founded in 1801 and currently one of the top 50 "Best Colleges" according to U.S. News and World Report), three regional comprehensive universities (USC Aiken, USC Beaufort and USC Upstate), and Palmetto College consisting of four two-year campuses (USC Lancaster, USC Salkehatchie, USC Sumter, USC Union and Fort Jackson/Extended University). Together, the USC System institutions offer more than 450 degree programs on campus and online and are uniquely positioned to meet the state's educational, cultural, health and research needs. The System employs nearly 14,000 people who work daily to improve the lives of students, fellow South Carolinians and the world. Our diverse engaged faculty and staff enjoy a dynamic and intellectually stimulating work environment.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 TypeResearch Grant (RGP)South Carolina RetirementYesState Insurance ProgramsYesAnnual LeaveYesSick LeaveYes Position Description Advertised Job Summary
This postdoctoral fellowship (postdoc) position is intended to train a recent PhD in the research, teaching and professional development to make her/him competent for a tenure track academic position at a research university. The postdoc will receive training at the AI Institute at the University of South Carolina under the mentorship of its director, Professor Amit Sheth.Minimum Qualifications (Classified and Unclassified positions)
PhD in Computer Science earned by start date. Demonstrated success in high-quality publication in the field of candidate’s expertise. Demonstrable knowledge of at least two and preferably three or more subjects of relevance to activities at the Artificial Intelligence Institute including Computational Social Science, Mental Health Informatics, Knowledge-enhanced Computing, Machine Learning, Knowledge Graphs, Natural Language Processing, Computational Cognitive Models, Semantic Web and Social Network Analysis. The candidate should have a high interest in being trained for a future academic career and should have experience with experimental research, evaluation, data collection and analysis with scientific thinking. The candidate should have strong writing skills as evidenced by publishing in top venues in the candidate’s main research area. Strong social, interpersonal, collaborative and organizing skills working in a highly team-oriented and inter-disciplinary environment.Preferred Qualifications
Experience in (preferably demonstrated through publications in top Computational Social Science and AI conferences): Cognitive model-based computation, Knowledge-enhanced computation, advanced data science, and NLP techniques, modeling through big social multimodal data. Experience in applying research to social/political, mental health and public health domains. Experience in leading/contributing to the efforts of writing industry, state and federal level grant proposals. Experience in manuscript reviewing, serving on conference program committees. Experience in supervising/mentoring graduate and undergraduate students.Knowledge/Skills/Abilities
Ability to conduct research (including data collection, processing, analysis, modeling and evaluation) and prepare professional research articles. Knowledge of Machine/Deep learning, Knowledge Graphs, Knowledge-enhanced learning, Natural Language Processing. Strong programming and system experience, including competency in one or more languages, preferably Java, Python and/or R.Position Attributes Hazardous weather categoryNon-EssentialSafety Sensitive or Security SensitiveNo Posting Detail Information Number of Vacancies1Desired Start DateIf Research Grant/Time Limited, give end dateJob Open Date07/03/2019Job Close Date08/16/2019Open Until FilledNoSpecial 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 August 16, 2019Quicklink for Postinghttp://uscjobs.sc.edu/postings/60275EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, age, color, religion, national origin, disability, sexual orientation, genetics, veteran status, pregnancy, childbirth or related medical conditions.Supplemental Questions
Required fields are indicated with an asterisk (*).
- * Will you have earned a PhD in Computer Science by the start date?
- * Are you able to demonstrate success in high-quality publication in the field of candidate’s expertise?
- * Are you able to demonstrate knowledge of at least two and preferably three or more subjects of relevance to activities at Kno.e.sis including Computational Social Science, Mental Health Informatics, Knowledge-enhanced Computing, Machine Learning, Knowledge Graphs, Natural Language Processing, Computational Cognitive Models, Semantic Web and Social Network Analysis?
- * Do you have a high interest in being trained for a future academic career and have experience with experimental research, evaluation, data collection and analysis with scientific thinking?
- * Do you have strong writing skills as evidenced by publishing in top venues in the candidate’s main research area and strong social, interpersonal, collaborative and organizing skills working in a highly team-oriented and inter-disciplinary environment?
- Cover Letter
- List of References and Contact Information
- Curriculum Vitae
- Letter of Recommendation 1
- Letter of Recommendation 2
- Letter of Recommendation 3
- Research Portfolio
- Teaching Portfolio
- Research Statement