The Carnegie Bosch Institute (CBI) Fellowship Program at Carnegie Mellon University invites outstanding postdoctoral researchers to apply for a fully funded fellowship for the fall semester of 2026. The program is designed for candidates interested in advancing research in human–AI complementarity, cybersecurity decision making, cognitive modeling, and decision making under uncertainty. Professor Cleotilde (Coty) Gonzalez, Founding Director of the DDMLab and Co-Director of Research NSF AI-SDM, is seeking fellows to join her highly collaborative and interdisciplinary lab at Carnegie Mellon University.

Research in the DDMLab focuses on how humans and intelligent systems can collaborate effectively, cognitive representations in cybersecurity, and adaptive human–AI teams. The lab emphasizes rigorous modeling, empirical grounding, and real-world impact, fostering a supportive and inclusive environment that encourages intellectual independence and interdisciplinary collaboration.

The CBI Fellowship is fully funded and sponsored by the Carnegie Bosch Institute, a world-class research center at Carnegie Mellon University in Pittsburgh, PA, USA. The fellowship covers stipend and research support, though specific amounts are not detailed. Applicants must have a PhD in a relevant field and demonstrate experience in modeling, empirical research, and interdisciplinary work. Strong communication skills and the ability to work both independently and collaboratively are essential. Applicants are encouraged to reach out to Professor Gonzalez to discuss research alignment and collaboration ideas before submitting their application, as a faculty support letter is required.

Applications for the 2026 fellowship open on December 15, 2025, and are due by January 31, 2026. For more information and to apply, visit the CBI Fellowship website. This opportunity is ideal for postdoctoral researchers interested in artificial intelligence, human factors, cybersecurity, cognitive science, and related fields, seeking to make a real-world impact through interdisciplinary research at a leading institution.