Position: Post-doctoral Fellow
Start Date: January 2020
The Applied Cognitive Ergonomics laboratory (ACE-Lab) in the Department of Industrial and
Systems Engineering at the Texas A&M University (TAMU) is seeking two Postdoctoral Fellows. Highly motivated individuals with backgrounds in health care human factors and human-computer interaction are sought to join our active group engaged in basic, translational and clinical human factors research.
ACE-Lab is a young, highly interactive, and collaborative research group where
interdisciplinary research approaches are utilized to help improve personnel performance and
human-system interaction in complex safety-critical systems. Candidate will work on award-winning projects involving the design and evaluation of sensor-based health and performance monitoring systems in health care and other domains.
Texas A&M University is one of a select few institutions in the nation to hold triple federal
designation as a Land-Grant, Sea-Grant and Space-Grant university. It consistently ranks
among the country’s top engineering schools. Department of Industrial and Systems
Engineering at TAMU has consistently ranked among the top 10 programs in the country.
Qualifications: Interested candidates should have obtained a Ph.D. degree in Engineering or Psychology with a Human Factors focus. Experience in a Health Care domain is highly desired but is not necessary. Experience with remote health technologies & systems, wearable sensors, machine and deep learning is a plus. Experience in mental health research is a plus. Software engineering management is a plus. The ideal candidate will have proven talent to work independently with excellent interpersonal and communication skills.
Duration: 1-3 years
To apply, please send your curriculum vitae, a writing sample, and summary of research interests to Dr. Farzan Sasangohar: email@example.com.
The Texas A&M University is an Equal Opportunity/Affirmative Action Employer. All qualified
applicants are encouraged to apply and will receive consideration for employment free from
discrimination on the basis of race, creed, color, national origin, age, sex, pregnancy, sexual
orientation, gender identity, genetic information, religion, associational preference, status as
a qualified individual with a disability, or status as a protected veteran. Applicants’ credentials
are subject to verification.