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Faculty Computational Imaging Jobs (NOW HIRING)

... the Computational Imaging Research Center (CIRC). This role is designed for an experienced ... faculty and stakeholder coordination, executive-level communications, event and initiative ...

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Faculty Computational Imaging information

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How much do faculty computational imaging jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for faculty computational imaging in the United States is $30.73, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $38.70 per hour, depending on experience, location, and employer.

What is a faculty computational imaging?

Faculty in computational imaging are academic professionals who teach, conduct research, and contribute to the advancement of imaging technologies that combine computational methods with imaging hardware. Their work spans areas such as medical imaging, computer vision, signal processing, and machine learning. They often collaborate with interdisciplinary teams, mentor students, publish scholarly articles, and secure research funding. These faculty members play a crucial role in developing new algorithms and technologies that enhance image acquisition, reconstruction, and analysis.

What opportunities for interdisciplinary collaboration are available for faculty computational imaging?

Faculty in Computational Imaging often work closely with colleagues from departments such as computer science, electrical engineering, physics, and biomedical engineering. This interdisciplinary environment encourages collaboration on research projects, joint grant proposals, and co-teaching opportunities. Such collaborations can lead to groundbreaking advances in imaging techniques and applications, as well as access to diverse funding sources and research facilities. Engaging with interdisciplinary teams not only broadens research impact but also enhances career development and networking within and beyond the academic institution.

What are the key skills and qualifications needed to thrive as a faculty computational imaging, and why are they important?

To thrive as a Faculty in Computational Imaging, you need a strong background in imaging science, signal processing, and computational algorithms, typically supported by a Ph.D. in a related field. Familiarity with programming languages (such as Python or MATLAB), machine learning frameworks, and advanced imaging software is essential. Strong communication, mentoring, and collaborative research skills help you engage students and colleagues effectively. These competencies enable impactful teaching, cutting-edge research, and interdisciplinary collaboration in this rapidly evolving field.

What are popular job titles related to Faculty Computational Imaging jobs?

For Faculty Computational Imaging jobs, the most frequently searched job titles are:

Infographic showing various Faculty Computational Imaging job openings in the United States as of August 2026, with employment types broken down into 5% As Needed, 70% Full Time, 13% Part Time, and 12% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $63,909 per year, or $30.7 per hour.

Associate Professor, Research Faculty Appointment (RFA) - Abdominal Imaging Department

Houston, TX • On-site

MD Anderson Center
Health Care and Social Assistance • 10K+ employees

Full-time

Medical, Dental, Retirement, PTO

Re-posted 23 days ago


MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 173 frontline employees who took The Breakroom Quiz


Job description

The Department of Abdominal Imaging, Division of Diagnostic Imaging, at the UT MD Anderson invites applications for a full-time, research faculty appointment at the rank of Associate Professor.
The Department of Abdominal Imaging consists of 60 fellowship-trained radiologists who provide comprehensive diagnostic imaging services to screen, diagnose, stage and follow-up patients with known or suspected malignancy using state-of-the-art equipment and technology. This position will primary focus on computational imaging, quantitative MRI, and artificial intelligence applications in radiology. The Associate Professor will be responsible for:
1) Writing, editing, and submitting reports, manuscripts, grant applications and abstracts;
2) Reviewing the scientific literature and planning new studies;
3) Preparing and presenting data for publication and scientific meetings;
4) Maintaining current and accurate records of research data;
Qualified candidates must have a Ph.D. and at least seven years of experience in advanced radiology scientific work. Prior research experience and publications in Abdominal Imaging is highly desirable.
Refer to the Abdominal Imaging department web page for additional information about the department and its programs.
Qualified candidates are invited to submit their curriculum vitae and Cover Letter to:
Catherine Devine, M.D.
Chair ad interim, Abdominal Imaging
Attn: Grace Ayoub (gcayoub@mdanderson.org)
Department of Abdominal Imaging, Unit 1473
The University of Texas MD Anderson Cancer Center
1400 Pressler Street
Houston, TX 77030
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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