About this role
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.