We are considering one or more paid interns for a summer 2026 internship. Please submit materials to leibniz@syr.edu by Mar. 27, 2026 for full consideration. Applicants who apply after this date will not receive any response.
- This is a paid hourly position with expected time commitment of 40 hours a week during the summer term. Based on funding, an early start date during the remainder of the spring semester may be available for 20 hours a week.
- This opportunity is only for Syracuse BS students; students not currently enrolled at Syracuse will not be considered and will not receive a response.
- 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 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 application-specific 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. The lab recently was notified of a corporate donation from Amazon and has recently had students intern at Amazon.
- Top-performing interns will be considered for follow-on funded positions in the lab. (based on availability of funding)
- Those we are interested are welcome to apply should send the following to leibniz@syr.edu by Mar. 27, 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. Please include links to any PyReason project as part of the submission.
- Full transcripts (unofficial transcripts only). Students must include transcripts that have the current term. All 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.). Please include the country of current citizenship.
- 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. We prefer references who have seen your past research, coding, or project experience.