Research Associate
3 weeks ago
Posting Number S05442P Position Title Research Associate Functional Title Postdoctoral Research Associate Department Bioengineering Salary Range Up to $58,179 DOQ Pay Basis Monthly Position Status Regular full-time Location Richardson Position End Date (if temporary) Posting Open Date 02/06/2024 Posting Close Date 06/08/2024 Open Until Filled No Desired Start Date 03/18/2024 Job Summary
The research group led by Dr. You Leo Li at The University of Texas at Dallas is excited to invite applications for postdoctoral scholar positions. We're at the forefront of medical ultrasound imaging and artificial intelligence and look forward to welcoming ambitious new members to our team.
The research program of the group lies in the intersection of AI and medical ultrasound imaging. The paradigm shift towards the integration of AI and domain knowledge in ultrasound physics in medical ultrasound imaging is a recent yet promising development. Dr. Li's research program aims to harness this potential, focusing on AI- based quantitative imaging of human hemodynamics, as well as neural network models of nonlinear ultrasound for imaging and quantitative tissue property estimation. The outcome of these research projects could significantly enhance healthcare.
Successful applicants will have the opportunity to work with state-of-the-art ultrasound scanners, pioneer new imaging technologies, and collaborate with an array of imaging scientists at UT Dallas. Furthermore, our close partnership with the University of Texas Southwestern (UTSW) Medical Center allows for opportunities to engage in human studies. As part of our team, you will not only benefit from a dynamic and supportive research environment at UT Dallas and UTSW, but also from the vibrant and diverse culture of Dallas.
Minimum Education and Experience
Ph.D in a related field.
Preferred Education and Experience
Ideal postdoctoral candidates should hold a Ph.D. degree in biomedical engineering (or a related field). Experience in ultrasound or optical imaging and AI research is preferred.
Essential Duties and Responsibilities
* Develop novel algorithms for ultrasound simulation, imaging, and quantitative analysis
* Customize machine learning / deep learning methods for image reconstruction
* Conduct human studies of the algorithms and techniques in collaboration with other members of the group and clinical researchers at UTSW
Physical Activities Working Conditions Additional Information
WANT TO GAIN SOME GREAT EXPERIENCE? DON'T MISS OUT. APPLY TODAY
* This is a grant-funded position, renewable pending funding availability and satisfactory performance.
* A remote work schedule is not available for this position.
About Us
Located in one of the nation's fastest growing metropolitan regions, The University of Texas at Dallas is a top value public university with more than 31,000 students across seven schools. The University of Texas at Dallas is committed to graduating well-rounded members of the global community whose education has prepared them for rewarding lives and productive careers in a constantly changing world. A collection of people, ideas and perspectives is crucial to our vision and mission. A charter member of SEA (STEMM Equity Achievement) Change, UT Dallas is a place where members of the community from all backgrounds are welcomed, treated fairly, and encouraged in their pursuit of excellence.
Special Instructions Summary Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. EOE, including disability/veterans. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.
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