Summer Research Program
Announcement: The application for 2019 consideration is now closed.
Application for 2020 consideration is expected to open early next year.
If you are interested in graduate studies in engineering, computer science, and statistics and curious enough to come to the Washington D.C. area, our summer research program may be for you.
We're recruiting top undergraduates and master's students at select international universities to conduct research with us from July 8 to July 26, 2019. It's a chance for you to get to know us, for us to get to know you, and to collaborate on a real research project that might turn into something more both here and at your current university.
You will live in the George Mason University dorms in the Northern Virginia suburbs of Washington, D.C., working on faculty-led research solving real problems during the week. On the weekends, you can tour the nation's capital, check out the city's entertainment scene in Georgetown or Adams Morgan, go to a Washington Nationals major league baseball game, or ride the bus to New York City.
Admission to this program is competitive. Here are the guidelines:
- You must be a full-time undergraduate or full-time master's student graduating from your home institution in 2020.
- You must be thinking about graduate studies in an engineering program in the U.S., and possibly George Mason University.
- You must be interested in the research projects listed below, and you must have the skills needed to contribute to the project.
- You must have a strong positive recommendation from a faculty member at your home institution.
- There is no application fee for this program.
- If you are accepted, you will live in George Mason University dorms on campus, and your accommodations and meals from July 8 - July 26 will be paid for by Mason.
- You will be responsible for your return air and ground transportation costs from your home country to our campus; your U.S. B1/B2 prospective student visa application costs, if applicable; your health insurance for the period of the program; and other personal expenses, and discretionary spending (for example: shopping and traveling). Personal expenses can average from $250 to $500.
- We will review applications as they arrive, so early application is recommended for the best consideration.
- Reviews will begin immediately. We will follow up with selected candidates and their recommending professors.
- Offers of admission to the program will be extended starting May 6th; applicants have seven days to accept or decline an offer.
- If you are accepted into the program, you must apply for and receive your visa (if the U.S. requires one for your visit) by May 31; we will provide a letter of invitation to accompany your visa application. You must confirm purchase of both your health insurance and your flight to the Washington D.C. area by June 1.
- Arrrive at the university to move into your dorm room on Saturday, July 6 or Sunday, July 7.
- Program orientation will begin on Monday, July 8. You will conduct research under the direction of a Volgenau School of Engineering faculty member on weekdays, but weekends are yours to explore the area.
Summer 2019 Research Topics
(GPH1) Research group is developing lipid-based nanoparticle systems to deliver life-saving mRNA therapeutics vaccines.
Preferred academic background: biomaterials, chemistry (both physical and synthetic), molecular biology
(GPH2) Research group combines mathematical modeling and computational methods to develop the newest approaches to predict the spread of disease, whether communicable (example: Zika virus, which can lead to severe birth defects in children) or non-communicable (example: cancer).
Preferred academic background: applied mathematics, machine learning
(GPH3) Research group focuses on artificial intelligence applied to the brain-computer interface and digital health care.
Preferred academic background: mechanical engineering, machine learning, estimation
|(CVPW1) Research group focuses on reshaping the future of architecture, engineering, and construction industry through integration of advanced data analytics, complex system simulation, and artificial intelligence.||Preferred academic background: civil engineering, computer science, statistics|
|(CVPW2) Research group focuses on the most forward-leaning approaches to internet security protocol.||Preferred academic background: advanced code-writing, cryptography, DNS fundamentals|
|(CVPW3) Research group undertakes experimental research in the most advanced areas of big data computing, hardware security and trust, and machine learning analytics.||Preferred academic background: machine learning, advanced code writing, very large-scale integrated circuits|
|(CVPW4) Research group develops groundbreaking methods and strategies for improving the security and trustworthiness of hardware.||Preferred academic background: machine learning, advanced code writing, very large-scale integrated circuits|