The Innovative Computing Lab (ICL, http://icl.cs.utk.edu/) of the University of Tennessee is looking for a bright, motivated person to join as a staff researcher. The applicant would be expected to join existing projects in computational science, as well as showing initiative in pursuing new research directions. Current computational science projects in ICL address the integration of numerical algorithms and state-of-the-art hardware, with an emphasis on multi-core, distributed computing and performance optimization.
The position involves numerical linear algebra (dense, sparse, direct, and iterative methods), numerical analysis and scientific programming. Proven experience with C and Fortran 77, parallel programming with experience with the use of high-performance architectures and algorithms as well as performance optimization are required. Knowledge of C++ and/or Fortran95 is a plus.
Excellent oral and written communication skills are mandatory. A willingness to participate in a highly diverse, multi-disciplinary environment is also essential.
Degree requirements: (1) Ph.D. in Computer Sciences or related area with demonstrable background in numerical mathematics, in particular linear system solving and eigenvalue calculations; or (2) M.S. in Computer Sciences and 3-5 years relevant research or work experience.
Additional benefits of the position include a competitive salary, travel opportunities, access to state-of-the-art computational facilities (including both large scale parallel architectures and high-performance workstations), and collaborative research opportunities in a very active research program in advanced scientific computing.
Salary: $40,000 - $60,000/year, depending on experience.
If you have any questions, feel free to contact Jack Dongarra, dongarra@cs.utk.edu or at the address below:
Jack Dongarra Innovative Computing Laboratory Electrical Engineering and Computer Science University Of Tennessee 1122 Volunteer Blvd Suite 413 Knoxville, TN 37996-3450
NOTE:
If you are applying for a Graduate Research Assisstant (GRA) position please use this URL: http://icl.cs.utk.edu/gra/.