FELLOW, POST DOCTORAL

Roy Blunt NextGen Precision Center

Our laboratory is focusing on cardiopulmonary magnetic resonance imaging (MRI) through innovative deep learning-based MRI development. Our current developments include new technologies such as self-supervised learning and generative models. This exciting work will take place at the NextGen center, featuring state-of-the-art imaging facilities, including 3T Vida and 7T Terra MRI scanners, located at the University of Missouri-Columbia campus. We are in search of a highly motivated candidate with expertise in MRI development, particularly in image reconstruction and analysis, as well as sequence development. The ideal candidate will be driven by a passion for contributing novel ideas and directions, both to our ongoing projects and the broader field of MRI research.

Position Responsibilities:

Research and Development:

* Conduct innovative research in cardiopulmonary MRI, focusing on rapid MRI using deep learning reconstruction and enhancement methods for coronary microvascular dysfunction and related disorders.

* Develop and optimize MRI pulse sequences for cardiac and pulmonary imaging using Siemens IDEA.

* Implement image reconstruction algorithms using MATLAB and Python.

* Apply machine learning and deep learning methods using Python and PyTorch to MRI data for improved diagnosis and understanding of cardiac diseases.

* Investigate new techniques in physics-guided MRI reconstruction, self-supervised learning approaches and deep learning-based image processing.

Data Analysis:

* Perform image post-processing and analysis for human and swine studies using conventional methods, machine learning and deep learning approaches of 2D/3D images and time-series data.

* Interpret cardiac MRI data, such as assessment of cardiac function, perfusion, etc.

Collaboration and Communication:

* Work collaboratively with our multidisciplinary team including MRI physicists, Siemens onsite scientists, 7T high-field MRI researchers, cardiologists, and Swine model researchers.

* Present findings at scientific conferences and contribute to manuscript preparation for publication in peer-reviewed journals.

* Engage in regular meetings and discussions with the research team to ensure alignment with project goals.

Mentoring and Supervision:

Assist in the supervision and mentoring of junior researchers, graduate students, or interns.

PhD in Biomedical Engineering, Medical Physics, Computer Science, Electrical and Electronics Engineering, or a related field at time of appointment.

CV and Application

This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.

Values Commitment

We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate.

In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research, and engagement.

Equal Employment Opportunity

The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo or call the Director of Employee and Labor Relations at 573-882-7976.

To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.