The Computational Imaging Science Laboratory at the University of Illinois at Urbana-Champaign is seeking a computational scientist to work on a variety of large-scale, numerical inverse problems related to waveform inversion and wave-based imaging. The position involves the development of mathematical methods for image reconstruction and the implementation of those methods using high-performance, parallelized GPU platforms. Specific imaging modalities include photoacoustic tomography, ultrasound tomography, and x-ray phase- contrast imaging. Certain projects also involve the development of machine learning methods for improving image reconstruction and image interpretation.
A strong applicant will be proficient in the following:
- scientific programming in C/C++/CUDA, Python
- numerical optimization methods
- inverse problems
- wave physics/computational geophysics
The ideal applicant will also have experience in image reconstruction, a strong background in linear algebra and/or discrete mathematics as well as a demonstrated record of scientific achievement. Both post-doctoral and Staff Scientist-level positions are available. For more information, please contact:
Mark A. Anastasio, Ph.D.
Professor and Head of Bioengineering
University of Illinois at Urbana-Champaign
Lab Website: https://anastasio.bioengineering.illinois.edu/