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From Home Visiting Professor Computer Science Jobs

SUNY Potsdam

Visiting Assistant Professor

Potsdam, NY · On-site

$28K/yr

Visiting Assistant Professor - Computer Science Job Category Faculty FLSA Classification ... An earned PhD in Computer Science from an accredited institution. ABD candidates will be seriously ...

Rutgers University

$95K/yr

J., directly across the Delaware River from Philadelphia, the university is uniquely situated to ... Quick Link to Posting Campus Rutgers University-Camden Home Location Campus Rutgers University ...

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How much do from home visiting professor computer science jobs pay per year?

As of May 28, 2026, the average yearly pay for from home visiting professor computer science in the United States is $126,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $153,000.00 per year, depending on experience, location, and employer.
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Infographic showing various From Home Visiting Professor Computer Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $126,612 per year, or $60.9 per hour.
Assistant Professor: Computer Science

Assistant Professor: Computer Science

Morgan State University

Baltimore, MD

Full-time

Posted 26 days ago

Job description

Posting Summary
Job Title Assistant Professor: Computer Science Division Divison of Academic Affairs Department Computer Science Department Work Status Full Time Position Category Faculty Faculty Rank Assistant Professor FLSA Exempt Pay Range Exempt Salary Range Assistant Professor: $75,000 to $120,00 (Based on discipline) Fund Source State Support Job Summary
The Department of Computer Science at Morgan State University (MSU) invites applications for one tenure-track Assistant Professor position to support our newly established PhD program. Special considerations will be given to candidates who possess strong research skills with publications in quantum computing, quantum security, and emotion and ethical AI. The successful candidate will be expected to teach computer science courses and have a research agenda including plans to secure external funding. We seek applicants who will contribute to the research, teaching, service, and student success missions of the University. Candidates from underrepresented groups are strongly encouraged.
Job Duties
The successful candidate will be responsible for teaching undergraduate and graduate courses, developing focused areas of research in quantum computing, quantum security, emotion and ethical AI, and other computer science areas, supervising undergraduate and graduate students, and providing service to the Department, School, University, and the community. We are particularly interested in applicants with a demonstrated interest in mentoring students from traditionally underrepresented groups.
Knowledge, Skills, Abilities & Other Characteristics
  • Demonstrated potential for successful teaching at both undergraduate and graduate levels, and a strong commitment to teaching, interdisciplinary research, and cultural diversity.
  • Demonstrated potential for high scholarly impact through research and publications.
  • Demonstrated oral proficiency in the English language, as mandated by state law.

Required Minimum Qualifications
  • A doctoral degree in Computer Science is required. PhD candidates expected to complete their degree before the start of employment will also be considered. 

Other Preferences for Consideration
Posting Detail Information
Posting Number FA00377 Number of Vacancies 1 Job Open Date 02/06/2025 Best Consideration Date 03/06/2025 Job Close Date Special Instructions to Applicant
Please have all requested documentation ready to upload when applying for this position, or you will not be able to submit your application. a) cover letter b) curriculum vitae c) contact information for 3 references d) two-page research and teaching statements (including evaluations as appropriate).

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