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Part Time Air Force Computer Science Jobs (NOW HIRING)

Hcfl

Computer Science - adjunct

Brandon, FL

$76/hr

Applicant must have a Master's Degree in Computer Science and the ability to teach the following ... part-time for upcoming semesters. Applications will remain actively on file for one year. To be ...

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Part Time Air Force Computer Science information

What is the difference between Part Time Air Force Computer Science vs Part Time Air Force Cybersecurity?

AspectPart Time Air Force Computer SciencePart Time Air Force Cybersecurity
Required CredentialsBasic security clearance, technical certificationsSecurity clearance, cybersecurity certifications (e.g., CompTIA Security+)
Work EnvironmentClassroom, labs, field trainingNetwork defense, threat analysis, incident response
Employer & Industry UsageU.S. Air Force, defense sectorU.S. Air Force, defense and cybersecurity sector
Common Search & ComparisonYesYes

Part Time Air Force Computer Science focuses on programming, software development, and computer systems, while Part Time Air Force Cybersecurity emphasizes protecting networks from cyber threats. Both roles require security clearances and technical skills, but cybersecurity involves more threat analysis and defense strategies. Understanding these differences helps candidates choose the role that best fits their skills and career goals within the Air Force.

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Part Time Air Force Computer Science jobs near you
Infographic showing various Part Time Air Force Computer Science job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Part-time Faculty, PhD Computer Science

National University

Remote

$26.63 - $28.89/hr

Part-time

Re-posted 19 days ago

Job description

Compensation Range:
Hourly: $26.63 - $28.89
National University - San Diego, California
Part-time Faculty: PhD Computer Science
Location: Remote, CA
National University is a veteran-founded, San Diego-based nonprofit. Since 1971, our mission has been to provide accessible higher education to adult learners. Today, we educate a diverse student body from across the U.S. and around the globe, with more than 230,000 alumni worldwide. Our three schools and three colleges offer more than 200 accredited and licensed graduate and undergraduate programs. National University holds accreditation through the Western Senior College and Universities Commission (WSCUC).
Position Summary
The Department of Engineering, Data and Computer Sciences, in the College of Business, Engineering and Technology at the National University invites applications for part-time faculty with a specialization in Computer Science. The successful candidate will have a demonstrated record of or potential for excellence in teaching in their field and a commitment to serving the university's diverse adult student body. The successful candidate will have the potential for a commitment to serving the university's diverse adult student body. This position primarily works closely with the Academic Program Director and other faculty within the program and contributes to ensuring program quality, student engagement, and success.
Essential Job Duties:
  • Provide substantive, timely feedback to students on various assessment activities.
  • Maintain a positive, safe, inclusive student-centric learning environment.
  • Complete required tasks on deadlines (e.g., final grades, assessment, grading rubrics, input for grade appeals, etc.)
  • Maintain appropriate professional training and/or scholarly activities, when applicable.
  • Provide feedback to the course lead regarding the course content.
  • Identify at-risk students and collaborate with student services.

Qualifications:
Required:
  • Ph.D. in the field of computer science or computer engineering from a regionally accredited university required.
  • A strong background in any of the following areas required:
    • Advanced Artificial Intelligence and Machine Learning (e.g., deep learning, reinforcement learning, natural language processing, large-scale AI systems)
    • Data Systems and Data Engineering (e.g., database systems, distributed data systems, large-scale data processing, data-intensive applications)
    • Systems and Distributed Computing (e.g., operating systems, distributed systems, parallel computing, cloud and scalable systems)
    • Networking and Networked Systems (e.g., computer networks, distributed networking, modern communication systems)
    • Software Engineering and Programming Systems (e.g., programming languages, systems programming, software design and architecture)
    • Emerging areas aligned with computer science research (e.g., IoT systems, scalable platforms, trustworthy AI, quantum computing)

Preferred:
  • 3+ years of higher education teaching experience preferred.
  • Experience teaching at the doctoral level, contributing to course development, and serving on dissertation committees preferred.

For full consideration, interested candidates should provide the following.
  • A cover letter.
  • A curriculum vita.
  • Statement of teaching experience online and/or onsite for a diverse student body.

Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate's qualifications, skills, and competencies. Absent exceptional circumstances, candidates will be offered a salary within this range for this position. Base pay is one component of National University's total rewards package, as we are dedicated to supporting the needs of the "whole you" with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family. For full details about our benefit plan offerings, please visit benefits.nu.edu. For part-time positions, please click here.
National University is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative, and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.

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