Virtual Environment Technical Group

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last person joined: 13 days ago 

The EXTENDED REALITY TECHNICAL GROUP is concerned with human factors issues associated with human-virtual environment interaction. These issues include maximizing human performance efficiency in virtual environments, ensuring health and safety, and circumventing potential social problems through proactive assessment. For VE/VR systems to be effective and well received by their users, researchers need to focus significant efforts on addressing human factors issues. Names chage from Virtual Environments Technical Group to Extended Reality Group on January 27, 2023

Post Doc opportunity in adaptive learning/training

  • 1.  Post Doc opportunity in adaptive learning/training

    Posted 07-10-2020 11:00

    Position: Post-doctoral Fellow

    Start Date: Fall 2020

    Duration: Two years

    Lab:NeuroErgonomics Lab (Director: Ranjana Mehta, PhD)

     

    The NeuroErgonomics Lab in the Department of Industrial and Systems Engineering at the Texas A&M University is seeking a highly motivated post-doctoral fellow with a strong background in adaptive/personalized learning sciences and who is interested HCI and HRI work applications. The fellow will lead a high-visibility fast-paced R&D multidisciplinary project towards the development of adaptive learning strategies when interacting with human augmentation technologies in emergency response using neural, physiological, and biomechanical markers.  As part of this project, the fellow will interact and network with researchers from multiple universities, government agencies, emergency response communities, and technology developers, thereby allowing for opportunities of a range of career choices.

    Qualifications:

    Interested candidates should have obtained a Ph.D. degree by the start date (or defended their dissertation).

    • Our research is multi-disciplinary and inclusive, applicants may have engineering, kinesiology, or neuroscience backgrounds.
    • Knowledge and experience in at least one of the following areas: neural engineering, neuroscience, machine/deep learning with bio-signals, VR-based training systems, training simulations
    • Strong programming and computational 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

     To apply, please send your curriculum vitae and a cover letter including a summary of research interests, alongwith names and contact information for two references to Dr. Ranjana Mehta: rmehta@tamu.edu.

     The NeuroErgonomics Lab examines the mind-motor-machine nexus to assess, predict, and augment human performance when interacting with emerging technologies (unmanned, collaborative, and wearable systems) in safety-critical extreme environments (e.g., emergency response, space exploration, oil and gas).

    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 (public) programs in the nation by U.S. News and World Report. 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.

     



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    Ranjana Mehta
    Associate. Prof.
    Texas A&M U.
    College Station TX
    979-436-9327
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