Postdoctoral Research in AI at Texas A&M University

Overview

University: Texas A&M University
Country: USA
Deadline: Not specified
Fields: Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Health Informatics
Position: Postdoctoral Research in Trustworthy AI

Are you passionate about advancing the frontiers of artificial intelligence and eager to contribute to trustworthy, impactful AI research at one of the world’s leading research universities? Pursuing a postdoctoral position in AI at Texas A&M University offers a unique opportunity to work at the intersection of cutting‑edge machine learning, large language models, multimodal learning, AI agents, and AI for health.

This position is ideal for those looking to deepen their expertise, expand their research portfolio, and make meaningful contributions to the growing field of trustworthy AI.

Texas A&M University, located in College Station, Texas, is recognized as one of the premier public research institutions in the United States. The HASH AI Lab, situated at the Texas Medical Center in Houston, offers a dynamic hub for pioneering AI research, especially in health and trustworthy machine learning applications. Houston’s major metropolitan center and thriving technology sector make it an ideal location for impactful AI research.

• Trustworthy AI:
  Developing AI systems that are robust, transparent, ethical, and reliable for deployment in real‑world scenarios.
• Large Language Models (LLMs):
  Advancing capabilities, safety, and interpretability of powerful generative models.
• Multimodal Learning:
  Integrating data from multiple sources (text, images, audio) to build more comprehensive AI systems.
• AI Agents:
  Creating autonomous agents capable of complex reasoning and decision‑making.
• AI for Health:
  Applying AI techniques to improve healthcare outcomes, diagnostics, and patient care.

• Recently completed or about to complete a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or closely related fields.
• Strong research background in trustworthy AI, LLMs, multimodal learning, AI agents, or AI for health.
• Demonstrated expertise in developing, analyzing, or deploying advanced machine learning models.
• Track record of high‑quality publications in reputable conferences or journals.
• Strong programming skills and experience with relevant AI/ML frameworks.
• Collaborative mindset, willingness to work in interdisciplinary teams, and passion for impactful research.

The postdoctoral position is based in the HASH AI Lab, led by Dr. Yanmin Gong. The lab offers a supportive and stimulating environment for postdoctoral researchers to lead independent research, collaborate on high‑impact projects, and publish in top‑tier venues. The start date is flexible, and the salary is competitive.

Please refer to the official advertisement for application details. For more information about the position and the HASH AI Lab, see the Linked In post by Dr. Yanmin Gong:

• What are the main research areas? Trustworthy AI, LLMs, multimodal learning, AI agents, and AI for health.
• Where is the lab located? HASH AI Lab at the Texas Medical Center in Houston, Texas.
• What qualifications are required? Near completion of a PhD in relevant fields with a strong research background in AI topics.
• Is there a fixed start date? Flexible, accommodating candidates' schedules.
• What salary is offered? Competitive salary commensurate with experience and qualifications.
• How can I apply? Refer to the official advertisement and Linked In post for instructions.
• What makes Texas A&M a good place? Vibrant research environment, world‑class facilities, interdisciplinary collaboration, and a thriving metropolitan area.
• Are international applicants eligible? Not specified; interested international candidates are encouraged to apply and inquire further.

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