[Postdoc Opening] Postdoctoral Researcher – AI for Health | Texas A&M University (Houston)

[yanmin gong]

[Position] Postdoctoral Researcher & PhD Students – AI for Health |
Texas A&M University (Houston)

The HASH AI Lab (Human-centered, Accessible, and Safe AI for Health)
at the School of Engineering Medicine (EnMed), Texas A&M University is
recruiting Postdoctoral Researchers and PhD Students (Fall 2026 /
Spring 2027).

About EnMed & HASH AI Lab

EnMed is a pioneering school dedicated to training physicianeers,
operating in close collaboration with Houston Methodist Hospital — one
of Texas' top-ranked medical centers. The HASH AI Lab focuses on
developing robust, trustworthy, and scalable AI systems for real-world
healthcare applications. The lab is funded by NSF, NIH, and DoD, with
a CS-first research culture designed to be competitive at top AI
conferences while enabling high-impact medical publications.

About the PI

Dr. Yanmin Gong is an Associate Professor at the intersection of
Engineering Medicine and Computer Science at TAMU. Her research spans
trustworthy AI, medical AI, LLMs, multimodal learning, and AI agents,
with publications at ICLR, ICCV, IJCAI, ICDCS, TIFS, TDSC, and TMC.
She is a recipient of the NSF CAREER Award, Cisco Research Award, IEEE
TCSC Early Career Award, and N2Women Rising Star Award, and serves on
the editorial boards of ACM Computing Surveys, IEEE TDSC, and IEEE
Wireless Communications.

Research Topics
- Foundation models: fine-tuning, post-training, multimodal reasoning
- Trustworthy AI: alignment, robustness, hallucination mitigation,
machine unlearning, privacy
- Generative & Agentic AI: medical data synthesis, multimodal agents,
human-in-the-loop systems
- AI for clinical applications: longitudinal modeling, distribution
shift, real-world deployment

Qualifications
- PhD (or ABD) in CS, EE, or related field (Postdoc);
Bachelor's/Master's in CS/EE (PhD)
- Strong publication record in top-tier AI venues (NeurIPS, ICLR,
ICML, AAAI, KDD, IJCAI preferred)
- Proficiency in Python and PyTorch
- Passion for translating AI methodology into healthcare impact

Why HASH AI Lab?
- CS-first culture with strong support for top-conference publications
- Real clinical collaborations enabling Nature-family medical journal
publications
- Access to GPU computing and unique multimodal clinical datasets
- Mentorship toward both faculty-track and industry-track outcomes

Location: Houston, TX (Texas Medical Center)
Start Date: Flexible for Postdoc; Fall 2026 / Spring 2027 for PhD

Interested candidates please send CV and a brief statement of interest
to: yanmi...@tamu.edu
Subject line: [Postdoc Application] or [PhD Application] + Your Name