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Computational Imaging Professor Jobs (NOW HIRING)

Howard University

Assistant Professor

Washington, DC · On-site

... or Associate Professor position. The department seeks candidates with research expertise and ... Development of mathematical and computational methods for imaging, neuroscience, endocrinology ...

Howard

Assistant Professor

Locke, NY

... or Associate Professor position. The department seeks candidates with research expertise and ... Development of mathematical and computational methods for imaging, neuroscience, endocrinology ...

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Computational Imaging Professor information

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$58K

$114.8K

$189K

How much do computational imaging professor jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computational imaging professor in the United States is $114,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What is a computational imaging professor?

A Computational Imaging Professor is an academic expert who teaches and conducts research in the field of computational imaging, which combines principles from computer science, mathematics, optics, and engineering to develop new imaging techniques and systems. These professors typically work at universities or research institutions, guiding students, publishing scholarly articles, and leading projects that advance the capabilities of imaging technologies. Their work can impact areas such as medical imaging, microscopy, remote sensing, and computer vision. They often collaborate with industry partners and interdisciplinary teams to solve complex imaging challenges.

What are some common challenges faced by computational imaging professors in balancing research, teaching, and departmental responsibilities?

Computational Imaging Professors often juggle multiple responsibilities, including conducting innovative research, mentoring graduate students, teaching undergraduate and graduate courses, and participating in departmental committees. Balancing these duties can be challenging, particularly when research projects require significant time and collaboration with industry partners or interdisciplinary teams. Effective time management and prioritization are essential, as is cultivating a supportive lab environment that enables delegation and shared growth among students and colleagues.

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

To thrive as a Computational Imaging Professor, you need deep expertise in imaging science, mathematics, computer vision, and a relevant PhD or equivalent academic credentials. Proficiency in programming languages (such as Python or MATLAB), familiarity with advanced imaging hardware, and experience with computational imaging software are essential. Strong communication, mentorship, and collaboration skills help in teaching, mentoring students, and leading research projects. These abilities ensure effective knowledge transfer, innovative research, and successful academic contributions in a rapidly evolving field.

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

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

Infographic showing various Computational Imaging Professor job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,792 per year, or $55.2 per hour.

Neuroscience Faculty Positions - Computational (2026-2027)

New Haven, CT • On-site

Yale University
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about Yale Universityexternal

Full-time

Re-posted 8 hours ago

Yale University rating

8.2

Company rating: 8.2 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

152nd of 631 rated colleges and universities

Job description

Description
The Department of Neuroscience at Yale University seeks to hire new tenure-track faculty members with interests in computational or theoretical neuroscience. We recognize that artificial intelligence and machine learning are changing all aspects of neuroscience from analysis of neural activity to network modeling to imaging to bioinformatics to molecular modeling. We are enthusiastic about candidates using computational methods to link models with experimental data and are convinced that merging these disciplines is key to the progress of neuroscience.
The successful candidates will be embedded in a richly collaborative community supporting intellectual creativity. The Department of Neuroscience at Yale realizes that the full potential of our research lies in the power that varied perspectives bring to the field. We seek to foster an environment where all members of our community are supported and empowered to push forward the frontiers of neuroscience.
Emphasis will be placed on recruiting at the level of Assistant Professor, but appointments at Associate Professor level may be considered. The computational neuroscience community at Yale is dynamic and expanding, and includes the Department of Neuroscience, the Wu Tsai Institute, the Kavli Institute for Neuroscience, and the Department of Biomedical Informatics and Data Science. The Department of Neuroscience resides in a space optimized for modern science and maximal interaction and collaboration. New faculty will be supported by a generous start-up package and ongoing salary support. Faculty are expected to develop a productive and innovative research program that will include the opportunity to participate in graduate and medical education.
Qualifications
Candidates must hold a Ph.D., M.D., or equivalent degree.
Application Instructions
Please send a cover letter, a community impact statement, a research statement, a curriculum vitae, and arrange for submission of 3 letters of recommendation.
  • Cover letter: Indicate your desired level of appointment (Assistant or Associate Professor).
  • Community impact statement (1-page max): Describe your experience, commitment, and ideas for building a successful community of neuroscientists.
  • Research statement (3-page max, including optional figures and references): Describe your most significant scientific discoveries and accomplishments to date, as well as the focus and goals of your future research program.
  • Curriculum Vitae: Include links to publications or website.

All application materials should be submitted electronically to https://apply.interfolio.com/190740. Any questions regarding the application process may be addressed to pauline.charbogne@yale.edu. Applications will be reviewed as they are received until the positions are filled with priority given to those applications received by November 30, 2026.

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