
1001 - 5000 employees
📚 Education
👥 B2C
🌍 Social Impact
Education • B2C • Social Impact
National University is a higher education institution dedicated to providing accessible and quality education to a diverse range of students, including non-traditional learners and military-affiliated students. It offers a variety of undergraduate, graduate, and doctoral programs across multiple disciplines such as education, business, healthcare, social sciences, and technology. National University emphasizes a supportive learning environment and innovative teaching methods, aiming to empower students and enrich their academic and professional journeys.
🕒 May 28
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1001 - 5000 employees
📚 Education
👥 B2C
🌍 Social Impact
Education • B2C • Social Impact
National University is a higher education institution dedicated to providing accessible and quality education to a diverse range of students, including non-traditional learners and military-affiliated students. It offers a variety of undergraduate, graduate, and doctoral programs across multiple disciplines such as education, business, healthcare, social sciences, and technology. National University emphasizes a supportive learning environment and innovative teaching methods, aiming to empower students and enrich their academic and professional journeys.
• 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.
• 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) • 3+ years of higher education teaching experience preferred. • Experience teaching at the doctoral level, contributing to course development, and serving on dissertation committees preferred.
• health insurance • retirement plans • flexible work arrangements • professional development • holistic approach to employee benefits
Apply Now🕒 May 18
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