Updates

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.

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.

Check out two papers from the Leibniz Lab at AAAI-26 in Singapore:

• Toward Artificial Metacognition (Shakarian)
  • Thursday, Jan. 22, 2026; 9:30-10:30am, Conference Room H (Emerging Trends Track) Paper ETA28
  • Preprint: https://www.techrxiv.org/users/998358/articles/1363329-toward-artificial-metacognition
• Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-Trained Models in Novel Environments (Leiva et al.)
  • Sunday, Jan. 25, 2026; 12:00-2:00pm Poster Session (Main Track) Paper 19864:
  • Preprint: https://arxiv.org/abs/2505.19361

This is a volunteer opportunity available only to SU military / veteran students.

We are considering volunteer interns for an ongoing project for the current and spring semester. Please submit materials to leibniz@syr.edu by Nov. 14, 2025 for full consideration. 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 of any year group
• The specific project will be determined, but we are currently working on AI work dealing with metacognition, temporal logic for agentic frameworks, and cybersecurity
• We are looking for mature, hardworking, and technically competent (in particular with respect to math and programming) students
• The intern(s) will be official affiliate(s) of the lab
• In the past my research has been commercialized, used by major Fortune 500 companies, ongoing collaborations include work with Amazon, the DoD, Army, HRL, and others
• Intern(s) may be able to get course credit for their research in the future
• Those we are interested are welcome to apply should send the following to leibniz@syr.edu by Nov. 14, 2025 for full consideration:
  • CV, including experience with Python/Pytorch/PyReason, summary of programming experience (including internships, industry experience, personal projects) and links to any authored papers and/or coding projects (e.g., GitHub sites, Kaggle contests participated in, etc.).
  • Full transcripts (unofficial transcripts only). Students must include transcripts that have the current term. All students (including graduate students) must include undergraduate transcripts.
  • 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.
  • Include current citizenship status
  • State your interests in previous or ongoing work in a 500 word paragraph (NOT generated by an LLM) after reviewing https://leibniz.syracuse.edu/
  • Provide a summary of you military service
  • Optional: Provide a 5-minute video or demo of something you created and describe a key challenge you overcame in that project

This position has been filled.

We are considering volunteer interns for an ongoing project for the current semester. Please submit materials to jkrichel@syr.edu by Sep. 24, 2025 for full consideration. If a suitable volunteer is not identified by the applications provided at this time, we will consider applicants who apply by Sep. 30, 2025. 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
• The project will involve formulating a formal research goal, training LLMs to evaluate the hypotheses, and describing the findings in peer-reviewed conference and journal papers
• We mostly interview graduate students, while excellent undergrads may be considered
• The intern(s) will be official affiliate(s) of the lab and will cooperate with Amazon, providing potential future opportunities
• Intern(s) may be able to get course credit for their research in the future
• Those we are interested are welcome to apply should send the following to jkrichel@syr.edu by Sep. 24, 2025 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.)
  • Full transcripts (unofficial transcripts only). Students must include transcripts that have the current term. All students (including graduate students) must include undergraduate transcripts.
  • 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.

Happy to announce that I have joined the faculty advisory board for Cuse AI – a Syracuse student group focused on AI. If you are a Syracuse student interested in AI, please check out their site: https://www.cuseai.org/

Two new papers were accepted to ICLP and will be presented this fall. See the below video for a quick preview.

PyReason-ML integration for process automation: https://arxiv.org/abs/2506.17776 Reasoning about medical triage optimization: https://arxiv.org/abs/2507.10781

We are pleased to announce a new course, CIS 700: Hybrid Artificial Intelligence that will be offered this fall at Syracuse University. The course description can be found below along with a “test lecture” on YouTube.

Today’s state-of-the-art machine learning systems such as deep neural networks have shown impressive capabilities for perceiving and generating information by learning models from data but often fail at reasoning tasks. Symbolic systems, on the other hand, excel in various forms of inference but often struggle with learning. Recent advances in systems that combine machine learning with symbolic artificial intelligence present promising new directions toward the combination of reasoning and learning. In this course, we examine fundamental concepts related to hybrid artificial intelligence as well as several major lines of research in this area. The course will start with initial lectures on dual process theory, symbol grounding, and metacognition. The remainder of the course will include the following topics: neurosymbolic AI (e.g., logic tensor networks, logical neural networks), abductive learning (to include general discussions on abduction), inductive logic programming, cognitive inspired systems (to include hyperdimensional computing), symbolic regression, and related topics.