345 University Professor jobs in the United States

• Teach a range of undergraduate and graduate courses in Computer Science, including core subjects and specialized electives, ensuring high-quality instruction and student engagement.
• Conduct independent research in a specific area of Computer Science, publishing findings in leading peer-reviewed journals and presenting at international conferences.
• Develop and mentor graduate students on their research projects and thesis work.
• Advise undergraduate students on academic planning, career opportunities, and research involvement.
• Actively seek external funding opportunities to support research initiatives.
• Contribute to curriculum development and departmental governance.
• Collaborate with faculty members on interdisciplinary research projects and educational initiatives.
• Supervise teaching assistants and provide guidance on course delivery.
• Maintain active engagement with the broader academic and professional computer science community.
• Contribute to the overall mission and strategic goals of the university and the department.

• Ph.D. in Computer Science or a closely related field from a reputable institution.
• A strong record of scholarly publications in high-impact journals and conference proceedings.
• Demonstrated experience in teaching computer science courses at the university level.
• Proven ability to conduct independent research and secure research funding.
• Excellent communication, presentation, and interpersonal skills.
• Passion for mentoring students and fostering an inclusive learning environment.
• Expertise in emerging areas of Computer Science is highly desirable.
• Ability to collaborate effectively with colleagues and contribute to departmental activities.
• Commitment to upholding academic standards and contributing to the university's reputation.

• Teach a range of courses in Computer Science, including core subjects and specialized electives, at the undergraduate and graduate levels.
• Develop and update course curricula to reflect the latest advancements in the field.
• Conduct original research in a specialized area of Computer Science and publish findings in peer-reviewed journals and conferences.
• Supervise student research projects, theses, and dissertations.
• Actively participate in departmental and university committees and service activities.
• Advise students on academic matters, career paths, and graduate school opportunities.
• Contribute to the recruitment and retention of students in the Computer Science program.
• Collaborate with faculty members on research initiatives and interdisciplinary projects.
• Seek external funding through grants and research proposals.
• Stay current with pedagogical methods and technological advancements in Computer Science education.

• Ph.D. in Computer Science or a closely related field.
• A strong record of research, publications, and presentations in recognized Computer Science venues.
• Demonstrated excellence in teaching at the university level, with positive student evaluations.
• Expertise in one or more areas of Computer Science, such as Artificial Intelligence, Machine Learning, Software Engineering, Cybersecurity, or Data Science.
• Excellent communication, interpersonal, and presentation skills.
• Ability to mentor and guide students effectively.
• Commitment to fostering an inclusive and diverse academic environment.
• Experience with grant writing and securing research funding is highly desirable.
• This position requires on-campus presence for teaching, research, and student interaction in Oklahoma City, Oklahoma, US .

• Conduct high-impact research in Artificial Intelligence and publish in top-tier venues.
• Develop and teach undergraduate and graduate courses in AI and related areas.
• Secure external research funding from government agencies and industry.
• Mentor and supervise Ph.D. students and postdoctoral researchers.
• Contribute to departmental and university service, including committee work.
• Collaborate with faculty on interdisciplinary research projects.
• Advance the university's academic reputation in Artificial Intelligence.
• Engage in academic citizenship and contribute to a positive departmental culture.
• Stay current with the latest advancements and trends in AI research.

• Ph.D. in Computer Science with a specialization in Artificial Intelligence.
• Strong record of publications in leading AI conferences and journals.
• Demonstrated experience in university-level teaching and research.
• Proven ability to secure external research funding.
• Expertise in areas such as machine learning, deep learning, NLP, computer vision, or robotics.
• Excellent communication, presentation, and interpersonal skills.
• Commitment to fostering diversity and inclusion in academia.
• Ability to work effectively in a hybrid academic environment.

The Department of Psychology and the Princeton Neuroscience Institute at Princeton University invite applications for a tenure-track Assistant Professor position in the area of human cognitive neuroscience to be hired jointly in Neuroscience and Psychology.

We seek a faculty member with a demonstrated record of excellence in research and a strong commitment to teaching and mentoring. Relevant research approaches include, but are not limited to, computational, clinical, and neuroimaging research. 

Applicants are expected to hold a Ph.D. in Psychology, Neuroscience, Computer Science, or a related discipline. The successful applicant will be expected to teach both undergraduate and graduate courses in Psychology and Neuroscience, and to establish an active, internationally-recognized research program. To support their research, the successful applicant will have access to the Scully Center for the Neuroscience of Mind and Behavior, which operates a suite of facilities to study the human brain including two 3T Siemens MR scanners, OPM-MEG, EEG, eye tracking, and TMS laboratories. They will also have access to Princeton’s world-class computational infrastructure, including GPU systems capable of running large-scale AI workflows. 

Applicants should submit online at and include a cover letter, curriculum vitae, research statement, teaching statement, and contact information for three references. Review of applications will begin on October 15, 2025.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

The University also offers a comprehensive benefit program to eligible employees. Please see this link  for more information