BLACKSBURG, Va., February 15, 2010 - Imagine engineering bacteria to produce electricity, designing a biological internet, or making your very own synthetic cell to hunt and kill pathogens. The 2010 Virginia Tech iGEM Team is looking for bright, motivated freshman, sophomore, junior, or senior students interested in working on a cutting-edge synthetic biology project.

DOWNLOAD PDF of this announcement.

The International Genetically Engineered Machines (iGEM) event is the prestigious competition organized by the Massachusetts Institute of Technology. The objective of the iGEM competition is to design and build an engineered biological system using standard DNA parts.

  • Are you interested in performing groundbreaking research with a team of like-minded students?
  • Are you looking for a full-time, salaried position over the summer ($3600 stipend)?
  • Would you like to interact with some of the brightest students interested in biotechnology from Virginia and the rest of the world?
  • Are you interested in an expenses-paid trip to Boston to participate in the competition in November 2010?

If the answer to any of these questions is yes, we would like to hear from you.

Details of eligibility, requirements, and deadline for submission of application are available in the 2010 iGEM Team flier (PDF).

For further information, please contact Matt Lux, Graduate Advisor, iGEM alumnus at please enable JavaScript to view or 540 231 9774.

About VBI

The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science combining information technology, biology and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today's key challenges in the biomedical, environmental and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at VBI involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, statistics, economics, synthetic biology and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world's scientific, governmental, and wider communities.


Matt Lux
Graduate Advisor, iGEM Alumnus
540.231.9774; please enable JavaScript to view

Published by Barry Whyte, February 15, 2010