⛔ This position is no longer available.
University: Texas A&M University
Country: USA
Deadline: Not specified
Fields: Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Health Informatics
Topic: USA – Postdoctoral Research in Trustworthy AI at Texas A&M University
Fields: Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Health Informatics
Position: postdoc
Country: usa
Deadline: Not specified
University: Texas A&M University
Real Country: USA
Main Category: computer & data sciences
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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.
About the University or Research Institute
Texas A&M University, located in College Station, Texas, is recognized as one of the premier public research institutions in the United States. With a rich history dating back to 1876, Texas A&M is renowned for its commitment to academic excellence, research innovation, and societal impact. The university is a member of the prestigious Association of American Universities (AAU) and is consistently ranked among the top public universities in the nation.
The university fosters a vibrant academic environment, supporting interdisciplinary collaboration and providing state-of-the-art research facilities. 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 itself is a major metropolitan center, home to a diverse population, world-class research hospitals, and a thriving technology sector, making it an ideal location for impactful AI research.
Research Topic and Significance
The HASH AI Lab at Texas A&M University focuses on several of the most pressing and innovative topics in artificial intelligence today:
– Trustworthy AI: Developing AI systems that are robust, transparent, ethical, and reliable for deployment in real-world scenarios.
– Large Language Models (LLMs): Advancing the capabilities, safety, and interpretability of powerful generative models that are reshaping communication, information retrieval, and automation.
– Multimodal Learning: Integrating data from multiple sources (such as text, images, and audio) to build more comprehensive and intelligent AI systems.
– AI Agents: Creating autonomous agents capable of complex reasoning and decision-making in dynamic environments.
– AI for Health: Applying machine learning and AI techniques to improve healthcare outcomes, diagnostics, and patient care.
These research areas are at the forefront of both academic inquiry and practical application, addressing critical societal needs such as healthcare innovation, data security, and the ethical deployment of AI technologies.
Project Details
The postdoctoral position is based in the HASH AI Lab, led by Dr. Yanmin Gong, within Texas A&M University. The lab is located at the Texas Medical Center in Houston, providing unique access to interdisciplinary collaboration between computer scientists, engineers, and health professionals.
The research projects span trustworthy AI, LLMs, multimodal learning, AI agents, and AI for health. 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 for the position is flexible, and the salary is competitive.
Candidate Profile
This opportunity is suited for candidates who have recently completed or are about to complete a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or closely related fields. Ideal applicants will have:
– A strong research background in one or more of the core areas: trustworthy AI, LLMs, multimodal learning, AI agents, or AI for health.
– Demonstrated expertise in developing, analyzing, or deploying advanced machine learning models.
– A track record of high-quality publications in reputable conferences or journals.
– Strong programming skills and experience with relevant AI/ML frameworks.
– A collaborative mindset, willingness to work in interdisciplinary teams, and a passion for impactful research.
The lab is particularly interested in candidates who are motivated to address real-world challenges and contribute to the responsible development and deployment of AI technologies.
Application Process
Please refer to the official advertisement for application details.
For more information about the position and the HASH AI Lab, see the LinkedIn post by Dr. Yanmin Gong:
https://www.linkedin.com/posts/yanmin-gong-b1b62824_postdoc-hiring-ai-share-7441102172001570816-RjD-
Conclusion
If you are driven to push the boundaries of AI research and are seeking an environment that values innovation, collaboration, and real-world impact, Texas A&M University offers an outstanding platform to advance your academic career. We encourage talented and motivated researchers to apply for this postdoctoral position and to explore similar opportunities that can help shape the future of artificial intelligence.
Questions & Answers
Question: What are the main research areas in this postdoctoral position?
The position focuses on trustworthy AI, large language models (LLMs), multimodal learning, AI agents, and AI for health.
Question: Where is the lab located?
The HASH AI Lab is based at the Texas Medical Center in Houston, Texas, offering unique access to interdisciplinary resources and collaborations.
Question: What qualifications are required for applicants?
Applicants should have (or be near completion of) a PhD in computer science, computer engineering, artificial intelligence, machine learning, or related fields, with a strong research background in relevant AI topics.
Question: Is there a fixed start date for the position?
The start date for the postdoctoral position is flexible, accommodating candidates’ schedules.
Question: What is the salary for this postdoctoral position?
The position offers a competitive salary, commensurate with experience and qualifications.
Question: How can I apply for this position?
Please refer to the official advertisement and the LinkedIn post for specific application instructions.
Question: What makes Texas A&M University an attractive place for postdoctoral research?
Texas A&M offers a vibrant research environment, access to world-class facilities, interdisciplinary collaboration, and is situated in a thriving metropolitan area with significant opportunities for professional and personal growth.
Question: Are international applicants eligible for this postdoctoral position?
The advertisement does not specify restrictions, so interested international candidates are encouraged to review the official post and reach out for further information.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/2026/03/12/phd-admission-chance-calculator/
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