Part-time Faculty, PhD Computer Science

Compensation Range:

National University – San Diego, California

Part-time Faculty: Ph.D. 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. 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.

Please note that in addition to a resume or CV, unofficial transcripts of highest degree attained are required at the time of application.

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.
• A strong background in any of the following areas:
  • 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.
• Experience teaching at the doctoral level, contributing to course development, and serving on dissertation committees.

For full consideration, interested candidates must provide the following:

• Resume or CV.
• Unofficial transcripts of highest degree attained.

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.