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Assistant Professor Mri Jobs (NOW HIRING)

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Assistant Professor Mri information

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$42.5K

$80.1K

$135K

How much do assistant professor mri jobs pay per year?

As of Jun 9, 2026, the average yearly pay for assistant professor mri in the United States is $80,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What does an Assistant Professor specializing in MRI do?

An Assistant Professor specializing in MRI (Magnetic Resonance Imaging) is an academic professional who conducts research, teaches courses, and mentors students in the field of MRI technology and applications. Their responsibilities often include publishing scholarly articles, securing research grants, and collaborating with other researchers and clinicians. They may also oversee laboratory work, develop advanced MRI techniques, and contribute to the advancement of medical imaging science. In addition, they often participate in academic committees and community outreach activities related to imaging sciences.

What are some typical challenges faced by an Assistant Professor specializing in MRI research and how can they be addressed?

Assistant Professors focusing on MRI research often encounter challenges such as securing research funding, balancing teaching responsibilities with publishing requirements, and staying current with rapidly evolving MRI technologies. Collaborating with multidisciplinary teams—such as radiologists, physicists, and engineers—can help share the workload and foster innovation. Establishing a strong mentorship network and actively participating in academic conferences also support professional development and can open doors to collaborative grants and research opportunities.

What is the difference between Assistant Professor Mri vs Radiologic Technologist?

AspectAssistant Professor MriRadiologic Technologist
Required CredentialsDoctorate or Master's in Radiology or related field, academic credentialsAssociate's or Bachelor's degree in Radiologic Technology, certification
Work EnvironmentAcademic settings, research labs, teaching hospitalsHospitals, clinics, imaging centers
Employer & IndustryUniversities, research institutions, medical schoolsHealthcare facilities, diagnostic imaging industry
Common Search & ComparisonAcademic roles, research, teaching in MRIClinical imaging, patient care, diagnostic procedures

Assistant Professor Mri primarily involves academic teaching, research, and advanced MRI studies within educational or research institutions. In contrast, Radiologic Technologists focus on performing diagnostic imaging procedures in clinical settings. While both roles require knowledge of MRI technology, the Assistant Professor Mri role emphasizes education and research, whereas the Radiologic Technologist role centers on patient care and imaging execution.

What are the key skills and qualifications needed to thrive as an Assistant Professor specializing in MRI, and why are they important?

To thrive as an Assistant Professor specializing in MRI, you need a doctoral degree (PhD or MD/PhD), advanced knowledge of MRI physics and applications, and a strong research background in medical imaging. Familiarity with MRI scanners, analysis software (such as MATLAB or FSL), and experience with grant writing and publishing in peer-reviewed journals are typically required. Excellent communication, mentorship, and collaboration skills help in teaching students, guiding research teams, and working with interdisciplinary colleagues. These skills and qualifications ensure effective teaching, impactful research, and contributions to advancements in medical imaging.
Infographic showing various Assistant Professor Mri job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 38% Full Time, 16% Part Time, and 43% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $80,057 per year, or $38.5 per hour.
Tenure Track Assistant Professor

Tenure Track Assistant Professor

George Mason University

Fairfax, VA • On-site

Full-time

Posted 21 days ago


George Mason University rating

8.3

Company rating: 8.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

95th of 535 rated colleges and universities


Job description

Department: Col of Humanities and Soc Science
Classification: 9-month Instructional Faculty
Job Category: Instructional Faculty
Job Type: Full-Time
Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)
Location: Fairfax, VA
Workplace Type: On Site Required
Sponsorship Eligibility: This position is not eligible for visa sponsorship
Salary: Salary commensurate with education and experience
Criminal Background Check: Yes
About the Department:
The Department of Psychology (https://psychology.gmu.edu/) boasts over 1,700 undergraduate majors (BS, BA), 330 graduate students (PhD, MA, MPS), and 50 full-time faculty. There are five graduate areas in the department: Cognitive & Behavioral Neuroscience, Clinical, Applied Developmental, Human Factors & Applied Cognition, and Industrial-Organizational. Faculty are accomplished and well-known in their sub-disciplines, and the departmental rankings continue to rise (https://www.gmu.edu/rankings). We are situated in the College of Humanities and Social Sciences, which is the largest academic unit at George Mason University. George Mason University is committed to supporting the career development of all faculty (https://faculty.gmu.edu/).
George Mason University is well-known as an innovative and dynamic institution. We were one of the first higher education institutions to hire a Chief Artificial Intelligence Officer (https://www.gmu.edu/AI). Departmentally, we have expertise in applying AI/ML approaches to cognition, personality assessment, therapy, and other areas of psychology. The department has access to a range of neuroscience tools including, for example, an on-campus 3T MRI facility, EEG, TMS and tES, eye-tracking, and animal housing facilities. In addition, researchers benefit from access to high-performance computing resources and Azure cloud infrastructure.
About the Position:
The Tenure-Track Assistant Professor, within the Cognitive and Behavioral Neuroscience program in the Psychology department, will have expertise at the intersection of Artificial Intelligence (AI) (e.g., deep neural networks and large language models) and neuroscience. The Assistant Professor should have an interest in bringing new methods in AI to neuroscience, and/or using findings/data from neuroscience to develop new AI solutions. This might include investigation in connection with neuroimaging, computational models of cognition, genetics, or other related areas.
The position is expected to teach and advise at the graduate and undergraduate level, engage in scholarly activities and provide service at the departmental level. This position is expected to develop an internationally recognized and extramurally funded research program, participate in the department's PhD and MA programs, and contribute to the department's excellence in undergraduate education.
Responsibilities:
  • Conducts scholarly research in the field of cognitive and behavioral neuroscience. Research is expected to be published in peer-reviewed scientific journals;
  • Teaches graduate and undergraduate courses in the Cognitive and Behavioral Neuroscience program in the Psychology department; and
  • Participates in service to the department.

Required Qualifications:
  • Terminal degree in a related field. Candidates who will have degree conferred prior to the first day of employment will be considered eligible for this position;
  • PhD in Psychology, Neuroscience or related field prior to the first day of appointment;
  • Experience teaching (or support teaching) in an undergraduate, Master's, or PhD program in a Psychology department or related field;
  • Experience teaching (or support teaching) in-person and online;
  • Knowledge of cognitive and behavioral neuroscience discipline;
  • Ability to employ research methods in cognitive and behavioral neuroscience to conduct original research; and
  • Proficiency in teaching topics in cognitive and behavioral neuroscience.

Preferred Qualifications:
  • Experience in the use of Artificial Intelligence (AI), broadly defined, as applied to neuroscience research;
  • Experience in teaching courses in AI and neuroscience at both the undergraduate and graduate levels;
  • Knowledge of advanced quantitative methods;
  • Knowledge of the use of AI, broadly defined, as applied to neuroscience research;
  • Proficiency in using AI, broadly defined, for neuroscience research; and
  • Proficiency in teaching courses in AI and neuroscience at both the undergraduate and graduate levels.

Instructions to Applicants:
For full consideration, applicants must apply for the Tenure Track Assistant Professor at https://jobs.gmu.edu/ . Complete and submit the online application to include three professional references with full contact information, and provide 1) a cover letter, 2) CV, 3) philosophy of teaching, 4) research statement, 5)publication/materials, 6) copies of no more than three representative scholarly papers (this is extra space to allow for system upload file size restrictions on item 5, and 7) letter of recommendation (you may upload your references here as we use blind recommendations). Questions may be directed to jobs@gmu.edu .
Posting Open Date: October 7, 2025
For Full Consideration, Apply by: October 21, 2025
Open Until Filled: Yes
Mason Ad Statement
Mason is currently the largest and most diverse university in Virginia with students and faculty from all 50 states and over 135 countries studying in over 200 degree programs at campuses in Arlington, Fairfax and Prince William, as well as at learning locations across the commonwealth. Rooted in Mason's diversity is a campus culture that is both rewarding and exciting, work that is meaningful, and opportunities to both collaborate and create.
If you are interested in joining the Mason family take a look at our current opportunities and catch some Mason spirit at jobs.gmu.edu/!
George Mason University, Where Innovation is Tradition.
Equity Statement
George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any characteristic protected by law.
Campus Safety Information
Mason's Annual Security and Fire Safety Report is available at http://police.gmu.edu/annual-security-report/

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