The Cyberinfrastructure Facilitator will serve as a critical bridge between faculty, student researchers, and cyberinfrastructure (CI) resources, supporting the design and implementation of an EduCore framework powered by large language models (LLMs) and advancing next-generation cybersecurity research at SACS Meharry.
The CI Facilitator will assist researchers in accessing and utilizing CI tools and services, organize workshops and bootcamps, deliver hands-on training sessions, and provide ongoing technical guidance. Desired expertise includes programming, software development, machine learning, LLMs, big data analysis, and edge-cloud computing.
Essential Functions (Principal Duties and Job Responsibilities):
Lead the design and development of the machine learning and large language models (ML/LLMs)-based EduCore framework and implement cybersecurity strategies in the Edge-Cloud environment, including system validation
Develop applications, testbeds, and related software tools to support research objectives
Participate in collaborative research activities and contribute to the preparation of grant proposals
Assist the PI in organizing workshops, bootcamps, and student training sessions
Perform data analysis and interpretation of results generated from research projects
Knowledge, Skills and Abilities Required:
Strong computing background in Cybersecurity, Cyberinfrastructure, and Machine Learning
Proficiency in at least one programming language (Python, R, Java, or C/C++)
Ability to design, develop, and validate ML/LLM-based frameworks and research software
Strong analytical skills for data analysis and interpretation of research outputs
Excellent communication and interpersonal skills for workshops, training, and collaborative research
Classroom teaching experience is a plus but not required
Knowledge, Skills, Abilities Preferred:
Demonstrated experience with ML/LLM-based frameworks for research or application development
Education and Experience Required:
The qualified candidate should hold a Master/Ph.D. in Computer Science, Electrical or Electronics Engineering, Cybersecurity, Artificial Intelligence, or a closely related field.
Education and Experience Preferred:
Preference will be given the qualified candidate holding a Ph.D. in Computer Science, Electrical or Electronics Engineering, Cybersecurity, Artificial Intelligence, or a closely related field.
Numbers & Facts
Location
Nashville, Tennessee
Skills
Analysis Skillsunmatched
Application Frameworkunmatched
Artificial Intelligence (AI)unmatched
Big Dataunmatched
C Programming Languageunmatched
C++ Programming Languageunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Data Analysisunmatched
Electrical Engineeringunmatched
Electronic Engineeringunmatched
Grant Writingunmatched
Internet Securityunmatched
Interpersonal Skillsunmatched
Javaunmatched
Machine Learningunmatched
Modeling Languagesunmatched
Programming Languagesunmatched
Proposal Writingunmatched
Python Programming/Scripting Languageunmatched
R Programming Languageunmatched
Software Administrationunmatched
Software Developmentunmatched
Software Engineeringunmatched
System Validationunmatched
Team Playerunmatched
Technical Leadershipunmatched
Training/Teachingunmatched
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