Part-time Faculty, PhD – Computer Science

This is a fully remote position, open to applicants in California.

📋 Description

• Deliver meaningful and timely feedback to students on a variety of assessment activities.

• Foster a positive, secure, and inclusive learning environment centered around students.

• Fulfill required duties by established deadlines (e.g., final grades, assessments, grading rubrics, input for grade appeals, etc.).

• Engage in necessary professional development and/or scholarly activities as applicable.

• Offer insights to the course lead regarding the course material.

• Recognize students at risk and work in partnership with student services.

⛳️ Requirements

• A Ph.D. in computer science or computer engineering from a regionally accredited institution is mandatory.

• A solid foundation in any of the following domains is essential: Advanced Artificial Intelligence and Machine Learning (e.g., deep learning, reinforcement learning, natural language processing, large-scale AI systems).

• Expertise in Data Systems and Data Engineering (e.g., database systems, distributed data systems, large-scale data processing, data-intensive applications) is required.

• Proficiency in Systems and Distributed Computing (e.g., operating systems, distributed systems, parallel computing, cloud and scalable systems) is necessary.

• Knowledge of Networking and Networked Systems (e.g., computer networks, distributed networking, modern communication systems) is required.

• Experience in Software Engineering and Programming Systems (e.g., programming languages, systems programming, software design and architecture) is essential.

• Familiarity with emerging areas pertinent to computer science research (e.g., IoT systems, scalable platforms, trustworthy AI, quantum computing) is desired.

• A minimum of 3 years of teaching experience in higher education is preferred.

• Experience in doctoral-level teaching, course development, and serving on dissertation committees is advantageous.

🏝️ Benefits

• Health insurance

• Retirement plans

• Flexible work arrangements

• Professional development

• Holistic approach to employee benefits