Postdoctoral Research Associate
Postdoctoral Research Associate Agency
Texas A&M University Department
School of Engineering Medicine Proposed Minimum Salary
Commensurate Job Location
Houston, Texas Job Type
Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service. Who we are The School of Engineering Medicine in collaboration with Texas A&M College of Engineering, Texas A&M School of Medicine and the state's top-ranked Houston Methodist Hospital offer an innovative medical school program called ENMED. This program was established to transform healthcare through translational interdisciplinary research, the development of medical technologies, and the development and training of "Physicianeers." ENMED delivers a revolutionary blended curriculum with focus on innovation and entrepreneurship where students receive a Doctor of Medicine and Master of Engineering degree in the same four years. What we want The Postdoctoral Research Associate is responsible for conducting research into their field of expertise. The Postdoctoral Research Associate will utilize the skills and expertise granted to them by their education and experience to complete research projects in their field of expertise. Writes and may contribute to research papers, articles, and publications. Assists with the preparation and cleaning of worksite. May collaborate with other researchers and/or faculty. What you need to know Salary: Will be commensurate based on the selected hire's education and experience. Location: Houston, TX Schedule : Full-Time Apply! Submitting a cover letter, resume/CV to assist us with the review process. You may upload these documents to the application under CV/Resume. Required Education and Experience
- PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Strong publication record in top-tier AI conferences or journals..
- Strong written and oral communication skills.
- First-author publications at NeurIPS, ICLR, ICML, AAAI, KDD, or IJCAI.
- Experience working with large-scale, noisy, or real-world datasets.
- Experience with GPU-based training and high-performance computing.
- Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine Intelligence, npj Digital Medicine).
- Expertise in one or more of the following areas: foundation models, multimodal learning, LLMs, AI agents, or trustworthy AI.
- Proficiency in Python and PyTorch
- Conduct independent and collaborative research in artificial intelligence with a focus on health and biomedical applications.
- Collaborate with PI interdisciplinary teams on research proposals and contribute to successful grant applications.
- Lead AI research projects that result in peer-reviewed publications in top-tier AI conferences and high-impact medical journals
- Will present research findings at conferences
- Will attend and participate in various team meetings
- Mentor graduate students and contribute to lab research activities
- Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
- 12-15 days of annual paid holidays
- Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
- Automatic enrollment in the Teacher Retirement System of Texas
- Health and Wellness: Free exercise programs and release time
- Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
- Educational release time and tuition assistance for completing a degree while a Texas A&M employee
- Living Well, a program at Texas A&M that has been built by employees, for employees
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