The NeuroErgonomics Lab in the Department of Industrial and Systems Engineering at Texas A&M University is seeking two post-doctoral fellows with strong backgrounds in human factors and ergonomics, cognitive neuroscience, HCI, or neural engineering to lead one of two extramurally funded research projects: 1) Human states predictions (e.g., stress, learning, fatigue) and closed-loop technological mitigations in controlled and field environments using wearable neuro/physiological/behavioral sensors; and 2) Multimodal brain-behavior mappings of human-autonomy teaming across increasing contextual complexities.
About the NeuroErgonomics Lab: Research in the NeuroErgonomics Lab utilizes theories, methods, and techniques from physiology, biomechanics, neuroscience, engineering, and psychology to better understand, monitor, and augment human health and safety in high-risk environments (emergency response, defense, energy, space explorations).
Qualifications:
Interested candidates should have obtained a Ph.D. by the start date (the position can start in Summer/Fall 2023).
- Knowledge of human factors theories and assessment methods (performance, physiological, and subjective assessments)
- Knowledge and experience in developing/applying computational techniques to analyze bio-behavioral data (e.g., neural, physiological, movement, or eye tracking)
- Excellent human subjects' experimentation skills
- Strong programming skills
- A strong track record of peer-reviewed publications and presentations
- The ideal candidate will have proven talent to work independently with excellent interpersonal, communication, and mentoring skills
How to apply: To apply, please send your curriculum vitae, statement of research interest, and names and contact information for two references who can be contacted for letters of recommendation to Dr. Ranjana Mehta: rmehta@tamu.edu.
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Ranjana Mehta
Associate Professor
College Station TX
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