Cyberinfrastructure Facilitator

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.