Postdoctoral Research Associate

Job Title

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.

Preferred Qualifications

• 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.