We are considering volunteer interns for an ongoing project for the current semester. Please submit materials to leibniz@syr.edu by Mar. 13, 2026 for full consideration. If a suitable volunteer is not identified by the applications provided at this time, we will consider applicants who apply by Mar. 27, 2026. Applicants who apply after this date will not receive any response.
- This is an unpaid, volunteer position
- This opportunity is only for Syracuse MS and BS students; students not currently enrolled at Syracuse will not be considered
- Special consideration for Sophomores and Juniors undergraduates in computer science who have a high interest in research and graduate school, though all qualified applicants will be considered
- The project will be focused on the creation of an agentic LLM-base systems for cybersecurity involving neurosymbolic AI methods
- The volunteer will be part of a larger team; the volunteer will perform work relating to the implementation and evaluation of an agentic, LLM-based cybersecurity platform and describing the findings in peer-reviewed conference and journal papers
- The intern(s) will be official affiliate(s) of the lab and will likely work with one or more Leibniz Lab corporate partners. Students in the Leibniz Lab have had a high success rate of internship placement.
- Top-performing interns will be considered for follow-on funded positions in the lab. (based on availability of funding)
- Intern(s) may be able to get course credit for their research in the future, depending on academic circumstances
- Those we are interested are welcome to apply should send the following to leibniz@syr.edu by Mar. 13, 2026 for full consideration:
- CV, including experience with Pytorch, summary of programming experience (with a focus on industry and research experience in machine learning) and links to any authored papers and/or coding projects (e.g., GitHub sites, Kaggle contests participated in, etc.)
- Experience with the PyReason framework (https://pyreason.syracuse.edu). Students demonstrating an understanding of PyReason with example projects will receive extra consideration.
- Full transcripts (unofficial transcripts only). Students must include transcripts that have the current term. All students (including graduate students) must include undergraduate transcripts.
- We look for students that have received grades of A or better in all math and programming courses
- Citizen status (e.g., US citizen, Permanent Resident, Student visa, etc.)
- Students should include the contact information for one Syracuse faculty member for reference. We will only contact references if you advance to the final rounds of selection.