PhD students
We are currently recruiting motivated students interested in doing research in human-computer interaction (HCI), specifically accessibility and emerging interaction modes and techniques such as brain-computer interfaces, physiological/wearable computing, affective computing, tangible interaction, and reality-based interaction. Many of our projects also involve applying machine learning techniques to human-computer interaction, and/or human interaction with complex and autonomous systems and vehicles. Before contacting us, please take a look at our research and publications.
WPI is an exciting place to study human-computer interaction. WPI offers Ph.D. and M.S. programs in Computer Science, Data Science, Interactive Media and Game Development, Neuroscience, Learning Sciences, and Robotics Engineering. If you are applying to one of the doctoral programs, and are interested in working in our group, make sure to indicate this as well as your research interests in your essay.
WPI Undergraduate or Masters students
If you are interested in getting involved, feel free to contact us and provide information about your background and interests, as well as your CV or resume. We currently have projects for students interested in human-computer interaction, accessibility, Deaf education, psychology, experiment design, brain-computer interfaces, interactive textiles, augmented reality, machine learning, feature selection, and/or signal processing.
Students often join the lab as volunteer research assistants, work-study lab assistants, enroll in independent study credit and/or take paid research assistant positions. I also regularly supervise MQP and IQP projects related to research projects in my lab.
Positions
- Lab Manager and Study Coordinator (Undergrad/Grad, any major)
- Software Engineer (Masters/Undergrad) – Brain Signal Processing, Visualization and Analysis Tools
- Undergraduate Work Study Position – Multidisciplinary
- Research Assistant (Ph.D./Masters/Undergrad) – Improving Information Accessibility with Sign Language First Technology
- Research Assistant (Ph.D./Masters/Undergrad) – Integrating Non-Invasive Neuroimaging and Educational Data Mining to Improve Understanding of Robust Learning Processes