CNL
CNL
Open Positions  
 Computational Nanotechnology Lab at Michigan State University

Graduate Research Associates in Computational Nanotechnology

The Computational Nanotechnology Lab at Michigan State University (http://www.pa.msu.edu/people/tomanek/CNL.html) has openings for motivated graduate students interested in Computational Nanotechnology. Expected are a solid background in Physics, in particular Condensed Matter Physics, ability to write original computer code in FORTRAN, and good communication skills. As a proof of computational skills, each candidate must submit a numerical solution of the simple problem in Atomic Physics, posted HERE. The position is available immediately.

Postdoctoral Associate in Computational Nanotechnology

We are seeking outstanding candidates to join the Computational Nanotechnology group at the Department of Physics and Astronomy, funded through the NSF Nanoscale Science and Engineering Center for High-Rate Nanomanufacturing. The position is initially for one year and expected to be renewed, upon mutual agreement. Activities will include performing computer simulations of nanostructures, mentoring graduate students, and maintaining computational environment including project-specific software. Successful candidates should have a strong background in computational Condensed Matter Physics or Computational Chemistry, be capable of writing and maintaining original code in Fortran, and be familiar with the Unix/Linux operating system. Exceptional candidates with weaker expertise in one of these areas may still be considered. Applicants should email their

to David Tomanek (tomanek@msu.edu) with the subject "CNL postdoc application" and arrange for three letters of recommendation to be send to this address. Review of applications will begin December 5, 2010, and will continue until the position is filled.

MSU is an affirmative action, equal opportunity employer. MSU is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities.