Associate Professor (tenured/tenure-track) in Artificial Intelligence and Medical Imaging - Departments of Biomedical Engineering and Computer & Data Sciences

The Departments of Biomedical Engineering and Computer & Data Sciences in the Case School of Engineering at Case Western Reserve University (CWRU) invite applications for a mid-level faculty position in the area of artificial intelligence and medical imaging.  Case Western Reserve University has a strong track record in developing and translating new technologies to benefit patients. The goal of this search is to identify an individual with a strong track record of productivity, federal funding and a national and international reputation in the field of artificial intelligence and medical imaging to further enhance CWRU’s excellence in translational precision medicine research. Faculty in this position will have the opportunity to build upon the existing CWRU strengths in related methodologies of computer aided diagnosis, imaging methodology, and multi-modal image fusion for treatment targeting, monitoring, and evaluation. 

Representative research areas will include the development and application of new and innovative AI, deep learning and machine learning based approaches for diagnosis, prognosis and prediction of treatment response in the context of cancer, cardiovascular, kidney and eye disease. Opportunities exist for interdisciplinary, inter-institutional, and integrative research in the areas of oncology, surgery, radiology, cardiovascular disease, urology, ophthalmology, and radiation oncology.  Candidates seeking this position at the Associate Professor level should have established a significant research reputation nationally, possess a record of national funding, and display a strong interest in translational and team science based research. The successful candidate will have a joint appointment in the Departments of Biomedical Engineering and Computer & Data Sciences. The Case School of Engineering values interdisciplinary thinking, creative collaboration and entrepreneurial ideas. It also believes strongly in the vital importance of diversity within the professorial ranks, both in terms of women and underrepresented minorities.

The Case School of Engineering offers an intellectually stimulating environment for students and postdocs to develop and apply image-computing solutions to highly translational and clinically relevant problems. Students and postdocs work closely with the clinical collaborators, including radiologists, pathologists, surgeons, and medical, and radiation oncologists. The CWRU campus is located in the heart of Cleveland, and is within a 10 minute walk or drive of 4 nationally and internationally renowned medical centers: University Hospitals Cleveland Medical Center, Cleveland Clinic, MetroHealth Medical Center and Louis Stokes Cleveland VA Medical Center. 

Responsibilities and Duties:
Develop a program focused on new machine learning and computational imaging tools with applications in precision medicine. Work closely on this initiative with faculty, staff and students in CSE, BME and the Center for Computational Imaging and Personalized Diagnostics and also clinical collaborators within the CWRU biomedical ecosystem, Lead and mentor post-doctoral trainees and graduate students. Support the Biomedical Engineering and Computer and Data Sciences departments in developing cross-functional projects. Develop and teach graduate level course on AI and precision medicine and health.

Minimum Qualifications:
Candidates should have a doctorate degree in computer science, electrical engineering, biomedical engineering, or in a closely related field with post-doctoral research experience in areas relevant to AI in imaging. They should have an outstanding record of research achievements and the ability to contribute to the departmental educational mission. Physician scientists are strongly encouraged to apply.

How to Apply:
Applicants should submit a cover letter, curriculum vitae, a statement of research interests, a summary of teaching and mentoring experiences, and the names and contact information of at least four professional referees. 

Applicants are also asked to submit a statement explaining how their research, teaching, and/or service have contributed to diversity, equity and inclusion within their scholarly field(s) and/or how their individual and/or collaborative efforts have promoted structural justice inside and outside institutions of higher learning. This statement should also reflect on the ways in which the candidate’s continued efforts will foster a culture of diversity, pluralism, and individual difference at Case Western Reserve University into the future. 

Please send these documents electronically in one PDF file to: and include "AI in Medical Imaging Faculty Search" in the subject line. Evaluation of applications will begin immediately and continue until the position is filled.

In employment, as in education, Case Western Reserve University is committed to advancing an inclusive community in which everyone is welcome, respected, valued and heard. Along with colleagues across the university, our faculty, staff and students are engaged in continued and meaningful dialogue about issues of systemic racism, and we are determined to implement direct measures to end discriminatory practices on our campus and enhance our contributions to the communities around us.

As our society grapples with the history, legacy and persistence of entrenched racism and its impact on communities of color, we reaffirm our mission to expand opportunities for underrepresented groups; provide a multifaceted education for our students; foster a culture of diversity, pluralism and recognition of individual difference; and realize our ideals within the university and in the larger world.

Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.