Remote Part-Time Computer Science Faculty (PhD)

NU National University; United States; Remote; USD 37,000 - 40,000; Part time

Job summary

National University seeks a part-time faculty member in Computer Science for the San Diego, CA region with a remote work option. The role focuses on teaching excellence, student engagement, and program quality within the Department of Engineering, Data and Computer Sciences.

The candidate should hold a PhD in CS or CS/CE, with expertise in AI/ML, data systems, distributed computing, networking, software engineering, or emerging CS areas. Preference for higher education teaching experience.

Qualifications

• Advanced AI and ML knowledge (e.g., deep learning, NLP, large-scale AI systems)
• Data systems and data engineering (databases, distributed data)
• Systems and distributed computing (OS, cloud, parallel)
• Networking and networked systems
• Software engineering and programming systems
• Emerging areas aligned with CS research (IoT, quantum)

Responsibilities

• Provide substantive, timely feedback to students on assessments.
• Maintain a positive, inclusive student-centric learning environment.
• Complete required tasks on deadlines (grades, rubrics, appeals).
• Maintain professional training and scholarly activities when applicable.
• Provide feedback to the course lead regarding course content.
• Identify at-risk students and collaborate with student services.

Skills

AI / ML

Data systems

Distributed computing

Networking

Software engineering

Emerging areas

Education

Ph.D. in Computer Science or Computer Engineering

Job description

National University seeks a part-time faculty member in Computer Science for the San Diego, CA region with a remote work option. The role focuses on teaching excellence, student engagement, and program quality within the Department of Engineering, Data and Computer Sciences.

The candidate should hold a PhD in CS or CS/CE, with expertise in AI/ML, data systems, distributed computing, networking, software engineering, or emerging CS areas. Preference for higher education teaching experience.