Clemson University - Clemson, SC
posted 4 months ago
The Director of Analytics Systems & Applications at Clemson University is a pivotal role that focuses on the development and leadership of programs centered around applied artificial intelligence (AI), machine learning (ML), and deep learning (DL) across various disciplines. This position is responsible for providing expert consultations to faculty and undergraduate researchers who are working with complex and custom data sets. The Director will serve as a technology expert and instructor, leading outreach efforts for the Watt AI program, and supervising student workers. The role encompasses a variety of responsibilities that are essential for fostering innovation and enhancing research capabilities within the university. In terms of specific duties, the Director will lead AI integration efforts by collaborating with faculty and undergraduate researchers to apply AI techniques to a wide range of data analysis tasks, including social media analytics, large database management, and streaming data analysis. This involves directing the integration of AI/ML technologies, data visualization, and media analytics to generate new insights and automate data analyses. Additionally, the Director will be responsible for building and maintaining partnerships with faculty and students to advance research initiatives and create experiential learning opportunities. This includes supporting external funding activities and developing new AI/ML capabilities that enhance grant proposals and sponsored research applications. The role also includes providing guidance to Creative Inquiry (CI) student teams, helping them plan and execute projects, and ensuring compliance with CI program policies. The Director will assess the technical needs of the campus community and develop training programs that align with these needs, delivering instruction on AI/ML and related topics through various formats. Overall, this position is integral to advancing Clemson University's research capabilities and fostering a collaborative environment for innovation in analytics systems and applications.