Graduate Assistant-Social Network Analysis
Graduate Assistant-Social Network AnalysisPosition Eclass:
GF - Graduate Flat PayPosition Summary:
The term Graduate Assistant is the umbrella term that encompasses all types of GA appointments. Graduate Assistants are employed by the University to teach, conduct research, or assist with administrative duties in departments and non-academic units. Every attempt is made to assign Graduate Assistants to positions that are directly related to the student’s field of study or that provide the opportunity to develop transferable, professional skills. Graduate Assistantships are assigned in the department or unit and confirmed by the Graduate School.Additional Details:
An NSF-funded archeology project (Title: A network approach to Magdalenian social landscapes) seeks a GA. The project will use Social Network Analysis to examine the distribution of objects of personal ornamentation at the end of the last Ice Age in western and central Europe, ~18,000 to 12,000 years ago. This time period, referred to as the Magdalenian, witnessed both a rapid expansion of human populations from core areas after the last Ice Age and the creation and circulation of an unprecedented abundance and diversity of engraved artifacts. The research team, which includes archaeologists, paleoclimatologists, and computer scientists from the University of North Carolina at Greensboro, Arizona State University, and Histria Cultural Resource Consulting, will (1) assemble a database of ~200 digital images of these engraved artifacts; (2) construct an open-access, web-based application that uses machine learning and clustering algorithms to identify stylistic patterns among the digital representations of the artifacts; and (3) develop custom plugins for an open-source Social Network Analysis platform to produce visual representations of, and quantitative descriptors for, Magdalenian social networks at multiple scales. Ultimately, the project will explore how geography, environmental uncertainty, population density, and social cooperation/competition influenced how Magdalenian peoples used material culture to construct social networks and navigate the rapidly changing environments of post-glacial Europe.
•Design and implement machine learning based image processing algorithms to extract features and stylistic patterns from digitized 2D images of engraved artifacts
•Maintain project data and materials on a server
•Develop and maintain the project’s website and troubleshoot for website users
•Write technical reports and academic papers based on project data
•Present project results at professional conferences
•Collaborate with the faculty and students in the research group
The position will begin in Fall 2021. Beginning Fall of 2021 and running through Summer of 2023, the time commitment will be 20 hours/week. Specific working hours will be determined in coordination with the Principal Investigators of the project.
The position will be compensated $12,000 for each of the 2021-2022 and 2022-2023 academic years (starting in August and ending in May) and $3,000 for each of the 2022 and 2023 summer sessions (starting in May and ending in August), for a total of $15,000 per year. The position will also receive a tuition waiver for the 2021-2022 and 2022-2023 academic years.
*Compensation is contingent on final approval from NSF, which is fully expected to occur.Minimum Qualifications:
To be eligible for appointments as a graduate assistant, you must:
•Maintain academic good standing at all times (3.0).
•Be enrolled full-time, which is generally a minimum of 9 credits.
•Make satisfactory progress toward your degree as defined by your academic program and the Graduate School.
•Meet the requirements to be eligible for employment in the U.S.
•Apply and be admitted to the MS Program in Computer Science at the University of North Carolina at Greensboro (https://compsci.uncg.edu/graduate/general-information/)
Skills and Qualifications
•Well-developed programming skills
•Excellent oral and written communication skills
•Familiarity with Python, web programming, Linux, and machine learning preferred
•Undergraduate degree in computer science preferred
•Research experience preferred
Required Documents for the MS Program in Computer Science
•Official transcripts from all colleges and universities attended
•Evidence of English proficiency for non-native English speakers
All application materials must be submitted by July 1, 2021.
For questions regarding admission to the MS Program in Computer Science at the University of North Carolina at Greensboro, please contact Dr. Shan Suthaharan ([email protected]). For questions regarding the GA position, please contact the project PI, Dr. Charles Egeland ([email protected])
Additional Documents for the GA Position
•Letter of interest
•Contact information for three references
Anthropology - 12202Posting Begin Date:
02/15/2021Posting Close Date:
06/30/2021Open Until Filled: