Student Research Opportunities

Attention Students: I’m actively recruiting new PhD students to join my research group and contribute to multiple grant-funded research projects. If you are interested in these opportunities, please contact me via email to introduce yourself. Be sure to include a copy of your CV or resume. Students must apply to a PhD program at UNC to be considered (there are several options, contact me to discuss them), so please note the application deadlines for this cycle.

IMG_4153Are you interested in visualization? Do you love data? Are you passionate about learning how people use and benefit from visual tools? Are you a hacker who loves to code and develop new software? Do you have an eye for good design? If you answered YES to these questions, then there may be opportunities for you to get involved in one of our visual analytics projects.

Are you looking to become a PhD Student to join my group as a Research Assistant?

If you are interested in joining my lab as a PhD student, you must first be admitted to a PhD program here at UNC.  When you apply, you’ll have the opportunity to list my name as a potential advisor.  This is the official way to formally request joining my lab.

If you are an interested prospective student, I strongly encourage you to send me email to introduce yourself well before the official application deadlines.  Let me know why you are interested in my lab, what research topics excite you, and why you think you’ll be a good fit for the work we do.

PhD students working with my team receive full tuition support as well as an annual stipend and health benefits.

Are you already a UNC student? Are you looking to volunteer in my lab?

I also often work with students on projects without tuition/stipend support.   If you are a Masters Student, or a PhD student looking for a chance to work with my team on a project without funding, there may be an opportunity for you to work on volunteer projects or conduct research work in the form of an independent study for course credit.  Successful students are typically proficient programmers, have strong quantitative skills, and are appreciate the challenges of interaction design.

Do this description match your background?  If so, please send me an email to introduce yourself!