The Center of Cyber-Physical Intelligence and Security (CYPHER, https://web.uri.edu/cypher/) at the University of Rhode Island (URI) extends a warm invitation to ambitious individuals like you to embark on an exciting journey as Graduate Research Assistants in the field of cyber-physical resiliency and security.
Pioneering the Future:
As part of our dynamic research team, you will conduct research in advancing next-generation smart grids and smart manufacturing systems. CYPHER’s cutting-edge initiatives will challenge you to push the boundaries of knowledge on the resilience and security of critical infrastructures and manufacturing. You will make a real-world impact, together with dedicated professors, passionate students, and industry partners.
With a supportive environment and state-of-the-art facilities in the College of Engineering, you’ll have the resources to excel in your graduate studies.
Embrace Nature and History at URI:
Located in the southern region of Rhode Island, URI offers a serene environment with beautiful beaches, scenic trails, and a rich historical backdrop. Embrace a balanced lifestyle while enjoying a safe campus and an inclusive, supportive community.
Choose Your Track:
The Smart Grid track, led by Dr. Yan (Lindsay) Sun, Dr. Hui Lin, and Dr. Kaushallya Adhikari, is actively seeking candidates interested in the following research areas:
- Cyber-Physical Systems
- Computer Networks
- Artificial Intelligence Applied to Engineering Systems
- Power and Energy Systems
- Detection and Estimation Theory
The Smart Manufacturing track, led by Dr. Manbir Sodhi, is looking for candidates interested in the following research areas:
- Cyber-Physical Manufacturing Systems
- Automated Manufacturing
- Artificial Intelligence Applied to Manufacturing
- Cyber Security for Manufacturing
- (Smart grid track) BS or MS degree in computer engineering, electrical engineering, computer science, or closely related areas with a solid academic foundation in relevant coursework.
- (Smart manufacturing track) BS or MS degree in mechanical engineering, industrial engineering, systems engineering, or closely related areas with a solid academic foundation in relevant coursework.
- Strong interest in cybersecurity, cyber-physical systems, artificial intelligence, and/or signal processing.
- Prior research experience is preferred but not required.
The graduate research assistants will receive a tuition waiver, health insurance, and a stipend. The start time can be spring, summer, or fall 2024. If interested, please provide your information and upload your resume using this form (https://forms.gle/KVc5GajvovNa75QFA) for pre-screening. The qualified applicants will be invited to apply through the graduate school portal.