Contact Ranjana Mehta through LinkedIn for more information!
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.
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
Contact Ranjana Mehta through LinkedIn for more information!