We maintain a vibrant research program in random geometric graphs, statistical machine learning, network optimization, medical imaging applications, and more. Prospective students, postdocs, and visiting scholars with an interest in advanced statistical or computational methods are always welcome to inquire!
Graduate StudentsInterested Ph.D. or M.S. students should refer to the DMS Graduate Students page for details about our Mathematics and Statistics graduate program. Detailed application procedures and FAQs are available at the Prospective Graduate Students page. Graduate students at AU are eligible for GTA positions and various fellowship opportunities. |
Undergraduate StudentsUndergraduate students interested in research at the NLT Lab (or in our broader group) should contact Dr. Elvan Ceyhan. Check the Undergraduate Research Fellowship Program at Auburn for potential funding. You may also explore funded Undergraduate Research Opportunities from the College of Science and Mathematics. |
Postdoctoral ResearchersWe welcome candidates with strong backgrounds in statistical computing (R, Python), machine learning, probabilistic graph theory, or mathematical statistics. Please apply through this link. If you are passionate about advanced research in network-based methodologies, we encourage you to reach out. |
Visiting Scholars, Researchers, or StudentsVisiting positions are often available year-round. We typically give priority to individuals who have their own funding or fellowships. For inquiries or proposals, please contact Dr. Ceyhan directly. |