Asst Prof Machine Learning

University of Maryland, Baltimore; Baltimore (MD); On-site; USD 80,000 - 120,000; Full time

Job summary

The University of Maryland, Baltimore is seeking an Assistant Professor in the Imaging Computing Laboratory to engage in research on machine learning-based medical image processing. Candidates should hold a PhD in a relevant field with a strong research background in deep learning and MRI. The laboratory focuses on areas like MRI image reconstruction and fMRI processing. The position is non-tenure track and emphasizes an inclusive scholarly community.

Qualifications

• More than three years of research experience in deep learning, MRI, and medical image processing.

Responsibilities

• Conduct research in deep learning-based medical image processing.
• Focus on MRI image reconstruction and arterial spin labeling processing.
• Participate in resting state fMRI processing.

Skills

Deep learning

MRI image processing

Research experience

Education

PhD in computer science, biomedical engineering, or electrical engineering

Job description

Job Description

The Imaging Computing Laboratory at the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine is seeking a candidate for an Assistant Professor position in machine learning based medical image processing. The position is on a non‑tenure track.

Research focuses include:

• Deep learning-based MRI image reconstruction
• Deep learning-based arterial spin labeling perfusion MRI processing
• Resting state fMRI processing

Ideal candidates should hold a PhD in computer science, biomedical engineering, or electrical engineering and have over three years of research experience in deep learning, MRI, and medical image processing.

Qualifications

For immediate consideration, please send a cover letter and a recent CV, including the names and contact information of three references, to [e-mail] or via the following link: https://umb.taleo.net/careersection/jobdetail.ftl?job=240000I7&lang=en.

UMB is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy.

We value diversity and the enrichment it brings to our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees.