Postdoc opportunity at University of Illinois: biomedical ultrasound and ML applications
Country/Region : USA - United States
Website : http://illinois.edu
Description
There is currently a postdoc position available at the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. Drs. Aiguo Han (han51-AT-illinois.edu) and William D. O'Brien, Jr. (wdo-AT-uiuc.edu) are looking for an appropriate post-doc to collaborate with them. See recommended qualifications below. Individuals who are interested in biomedical ultrasound or machine learning applications in biomedical ultrasound are encouraged to contact them via email.
Qualifications:
1. Ph.D. in Electrical Engineering, Biomedical Engineering, Medical Physics, Acoustics, Applied Physics or other closely related areas.
2. Strong knowledge of ultrasound and/or wave propagation physics and signal processing, and experience with ultrasound instrumentation/transducers.
3. Comfortable with programming in Matlab or Python.
4. Experience with image processing, machine learning and clinical translation of imaging technologies is a plus.
Examples of potential projects
1) Ultrasonic scattering and/or wave propagation models for biological tissues (e.g., structure function)
2) Novel quantitative ultrasound imaging techniques
3) Ultrasonic tissue characterization algorithms based on quantitative ultrasound parameters and raw ultrasound data
Qualifications:
1. Ph.D. in Electrical Engineering, Biomedical Engineering, Medical Physics, Acoustics, Applied Physics or other closely related areas.
2. Strong knowledge of ultrasound and/or wave propagation physics and signal processing, and experience with ultrasound instrumentation/transducers.
3. Comfortable with programming in Matlab or Python.
4. Experience with image processing, machine learning and clinical translation of imaging technologies is a plus.
Examples of potential projects
1) Ultrasonic scattering and/or wave propagation models for biological tissues (e.g., structure function)
2) Novel quantitative ultrasound imaging techniques
3) Ultrasonic tissue characterization algorithms based on quantitative ultrasound parameters and raw ultrasound data
Last modified: 2018-07-05 09:29:45