Employment
RENCI’s inclusive, creative ethos transcends disciplinary boundaries to catalyze data-driven discovery and innovation for the public good. A career at RENCI offers a stimulating, collaborative environment where you can unleash your intellectual potential to advance technology and accelerate research.
We value new ideas, innovative solutions, and collaboration, and our employees enrich our organizational culture with their unique skills and perspectives. We are always looking for new talent to further expand the range of skill sets, backgrounds, and perspectives at RENCI.
View our current open positions to see if RENCI could be the right fit for you!
Student Advancement at RENCI
Student Advancement at RENCI (STAR) offers a range of programs that provide students with opportunities for internships, externships, and advanced learning experiences. Our mission is to empower students to explore their potential and make lasting impacts within RENCI’s innovative research and development endeavors. We are committed to helping the next generation of thinkers bring their ideas forward, develop valuable skills, and pursue professional growth.
Throughout the year, STAR provides paid and unpaid STARships (internship or externship) to undergraduate and graduate students. Each STARship is guided by a mentor who works directly with students on their specific projects. Our STAR Ventures Summer Program, exclusively for high school students, features workshop-style sessions that educate participants about RENCI’s projects, potential careers in data science, professional development skills, and more.
NSF REU Site at RENCI
The NSF Research Experiences for Undergraduates (REU) Site at the Renaissance Computing Institute (RENCI) at UNC Chapel Hill is a 9-week summer program that immerses undergraduate students in hands-on, cutting-edge research at the intersection of advanced networking, distributed systems, machine learning, cybersecurity, and emerging cyberinfrastructure. Leveraging the NSF FABRIC research instrument, a nationwide testbed for advanced networking and systems research, participants gain practical experience with technologies such as in-band telemetry, P4 and FPGA-based networking, ML-driven cybersecurity, TCP congestion control, AI-assisted medical imaging, and federated learning.
