Post Doctoral Fellow: Scientific Computing on Multi-GPU Hardware Platforms

The Position:

A two-year post-doctoral research position is available for implementing complex computational algorithms on multi-GPU hardware platforms for medical imaging technologies.  We are seeking a computer scientist, or similar, with expertise in computationally efficient numerical methods.  This project aims to develop high-speed medical image reconstruction algorithms on dedicated GPU hardware.  The successful candidate will have a PhD in computer science, or equivalent and will have experience developing advanced numerical algorithms.  This is a dynamic research program requiring both independent and collaborative efforts and we are seeking an individual with an enthusiasm for this research and the skills enabling them to communicate with others both inside and outside their immediate field of study. The position is immediately available.  

Ideal Skills/Experience:

Scientific computing, C/C++, GPU programming (CUDA), parallel computing, medical imaging, soft-field tomography, inverse problems

The Dartmouth Environment: 

We are a leading research group in the development of tomographic imaging systems and have a proven track record of utilizing these technologies in clinical studies.  We offer a collaborative environment for post-doctoral research with potential interactions with engineers at the Thayer School of Engineering, computer scientists and mathematicians within Dartmouth’s School of Arts and Sciences, and medical practitioners at the Dartmouth-Hitchcock Medical Center. 

The Application:

Interested candidates please send letter of interest and resume/CV to

Ryan Halter, PhD

Thayer School of Engineering

Dartmouth College

603-646-0773

ryan.halter@dartmouth.edu

Questions can be submitted to the same email address or by calling 603-646-0773.