Postdoc in Computational Inverse Problems and Imaging - Stroke EIT
It is my pleasure to announce a new position for a Post-doctoral Researcher in “Computational Inverse Problems and Imaging” in the Department of Mathematical & Statistical Sciences at Marquette University. The researcher will work in a collaborative team led by Dr. Sarah Hamilton on the application of the non-invasive medical imaging modality ‘Electrical Impedance Tomography’, supporting research for a National Institutes of Health project focused on stroke classification. The main themes of the work involve inverse problems, deep learning, PDEs, high performance computing, and scattering theory. The start date for the position is January 2020 with an initial appointment of one calendar year with a 1+ year extension option based on mutual agreement of the PI and Post-doctoral Research Associate.
Qualifications include a PhD (or equivalent terminal degree) in Applied Mathematics, Mathematics, Physics, Biomedical Engineering, Computer Science, or a related field with expertise in computational methods and deep learning. Applications ABD (all but dissertation) may be considered on a case by case basis.
Review of applications will begin October 15, 2019 and continue until an appropriate candidate has been found. Interested applicants are required to submit application materials to https://employment.marquette.edu/postings/12114
Marquette University is located in Milwaukee, WI which is situated on Lake Michigan offering plentiful access to the nationally recognized Milwaukee County Parks system with hundreds of miles of bike paths, beaches, an active sailing community, major league baseball and basketball teams, and is home to the largest music festival in the world: Summerfest. Downtown Chicago is a short direct train ride from downtown Milwaukee.
Please feel free to circulate this announcement and contact Dr. Sarah Hamilton at email@example.com with questions.