02 Postdoctoral Fellowship Positions: Join the Glide-Hurst lab at the University of Wisconsin-Madison as a highly motivated postdoctoral fellow in one of two exciting research areas. We are seeking candidates to (1) develop novel pulse sequences for a 0.35T MRI/linear accelerator cancer treatment device and 1.5T MRI-simulator or (2) implement data analysis workflows incorporating Artificial Intelligence (AI) and Deep Learning. This position offers a unique opportunity to work at the intersection of MRI physics and radiation therapy, with the potential for translating research into human studies and clinical trials. Partial remote working arrangements are possible, and ample access to MRI machines is provided for experimentation. Training in grant writing and career development is encouraged and supported, with potential for a two-year Bentson Fellowship for outstanding researchers on a near-term trajectory for a faculty position.
Designation: Postdoctoral Fellow
Research Area: Physics, biomedical engineering/imaging, computer science, or a related field
- MRI Pulse Sequence Development
- Artificial Intelligence
Location: University of Wisconsin-Madison, Wisconsin
Eligibility/Qualification:
- PhD in medical physics, biomedical engineering/imaging, computer science, or a related field.
- For the pulse programming focus: In-depth knowledge of MRI physics and experience in pulse sequence programming, particularly in the Siemens IDEA environment (experience with VB19 preferred). Familiarity with the GE EPIC/Orchestra programming environments is a plus.
- For the AI focus: Experience in AI and Deep Learning for medical applications or translatable skills.
Job Description:
Postdoctoral Fellowship Positions: (1) MRI Pulse Sequence Development and (2) Artificial Intelligence
As a postdoctoral fellow in the Glide-Hurst lab, you will have the opportunity to contribute to cutting-edge research in cancer care by focusing on one of two areas.
- MRI Pulse Sequence Development: You will develop novel pulse sequences for a 0.35T MRI/linear accelerator cancer treatment device and a 1.5T MRI-simulator. Your work will involve pulse sequence programming and optimization, with the potential to impact future clinical trials.
- Artificial Intelligence: You will implement data analysis workflows incorporating AI and Deep Learning techniques. This will involve applying AI algorithms to medical imaging data for improved diagnosis, treatment planning, and outcome prediction.
How to Apply: To apply for this position, please send the following documents to Carri Glide-Hurst, PhD, at Glidehurst@humonc.wisc.edu:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references
Last Date for Apply: Please inquire directly with the contact provided.
Join our dynamic research team and contribute to advancing imaging technologies in cancer care. The University of Wisconsin-Madison offers an exceptional environment for research and career development. Madison, consistently ranked as one of the top cities in the nation to live, provides a vibrant and supportive community.
