The NeuroErgonomics Lab at the Texas A&M Industrial and Systems Engineering Dept seeks aspiring PhD students who want to tackle human factors challenges in BCI, HRI, NeuroStim, Wearables, and NeuroErgonomics in the Wild. If interested, please email email@example.com with your CV and contact information of three references. Specific open post doc opportunities are also listed below.
Post Doc opportunity in adaptive learning/training
We are 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.
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: firstname.lastname@example.org.