Cyberinfrastructure Facilitator

About the 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.