Massimiliano Albanese

Application deadline:September 08, 2024
Naval Surface Warfare Center Dahlgren Division (NSWCDD) is seeking undergraduate and graduate students from colleges and universities to develop mathematical models and software algorithms which may include Artificial Intelligence (AI) and Machine Learning (ML) capability for a cyber resiliency assessment tool. The tool will evaluate a system’s architecture, the defined functions, the hardware and software required, the known cyber vulnerabilities present on the hardware and software components, and the effectiveness of the defensive cyber capability implemented within the system during a cyberspace attack from one or more Advanced Persistent Threats (APTs.) The cyber resiliency assessment algorithms will calculate the impact that a cyberspace attack scenario by given APT(s) will have on the system functionality and whether critical functions are likely to remain operational during the cyberspace attack. The challenge will also include developing Graphical User Interface(s) (GUIs) to display the cyber resiliency assessment results. The goal of this challenge is to invite Participants to present innovative solutions to this problem that NSWCDD has not yet explored. For the purposes of this prize challenge, the term “Participant” refers to the college or university team that apply to participate during the prize challenge and the term “Winner” refers to college or university teams that are selected by the Government Review Panel to receive a cash prize, under this prize challenge, based on the predetermined criteria. Each Participant will be comprised of no more than five student members from the same college or university. The Participants should use Artificial Intelligence (AI) and Machine Learning (ML) to design and train algorithms that will automate the cyber resiliency assessment. Experience with AI and ML algorithm development is desired.

Application deadline:March 31, 2024
The Computer Science and Engineering Department at Oakland University invites students to apply to an NSF-funded Research Experience for Undergraduate students. The students selected to participate will be immersed in a research environment under the mentoring of faculty for a 10-week full-time research program. A variety of research topics in Cybersecurity and AI is available. Students receive a stipend of $7,000, meal allowance, and up to $600 travel subsidy for travel to and from the program. Housing subsidy will be provided for students staying on campus.

Application deadline:April 15, 2024
The Virginia Cyber Navigator Internship Program (VA-CNIP) is managed by a coalition of Commonwealth of Virginia Universities and Colleges partnering with the Virginia Department of Elections and industry to educate students about protecting critical election and voting systems. The university network is led by the University of Virginia and includes George Mason University, Norfolk State University, Old Dominion University, Virginia Commonwealth University, and Virginia Tech. VA-CNIP interns provide cybersecurity support services to local election offices in Virginia during a 10-week paid internship. The program was estabilished in the 2021-2022 Academic Year and the first cohort of VA-CNIP interns supported 14 Virginia localities in Summer 2022.The program includes a 2-day kickoff meeting at the University of Virginia in Charlottesville and 10 weeks of hybrid in-person and remote activities during the summer.

Application deadline:June 13, 2024
Arlington County is seeking an IT & Cyber Security intern to support the Office of Voter Registration and Elections during the 2024 General Election. The position will last up to 4 months starting in September and run until November 5th, 2024 with the greatest need for October 14th to November 8th. Applicants should be available for a minimum of 10 hours/ week from October 19th to November 2nd. Hours are variable and will increase closer to the election. Evening and weekend hours are available.