AI Development and Innovation Fellow, Clinical Nursing Lecturer, Content Creator, and Others
- The overall job description below outlines the main areas of responsibilities of the Employee: The precise work program will be jointly developed with the successful candidate during the first weeks of appointment. However, the role is expected to contribute to the following core outputs.
- Output 1. University Workflow and AI Opportunity Mapping
- Undertake structured engagement with academic and professional services units to understand and document selected end-to-end workflows. Identify repetitive, stable or inefficient processes and prioritize opportunities for responsible AI-assisted improvement according to value, simplicity, risk, sustainability and institutional readiness.
- Output 2. Applied AI and Automation Implementation
- Lead or support the design, configuration, testing and implementation of practical AI-enabled workflows, agents, automation and related digital applications aligned with approved UP-AI priorities. Work with technical specialists where required and emphasize useful, maintainable deployment rather than experimentation for its own sake.
- Output 3. AI-Enabled Learning and Teaching
- Work with Digital Learning and academic faculties to identify, pilot and evaluate responsible applications of AI in curriculum development, learning design, assessment support, Moodle, staff capability development and student learning.
- Output 4. Documentation and Sustainability
- For each approved implementation, prepare appropriate process schematics, technical and user documentation, operating instructions, maintenance guidance, training resources, system ownership arrangements and change records. Store documentation in an approved UP repository so that successful applications can be maintained and developed by UP.
- Output 5. AI Training and Capability Development
- Contribute to UP’s AI Fluency and capability-building program. Subject to academic approval and workload allocation, contribute to or deliver an applied AI course or equivalent structured learning program each semester. Develop short practical workshops based on successful UP use cases and support staff and students to replicate selected functions in safe test environments.
- Output 6. Student Engagement and Applied Innovation
- Work with relevant faculties to develop structured opportunities for students to participate in applied AI projects, testing and innovation while maintaining appropriate supervision, data protection and academic quality.
- Output 7. Evaluation, Research and Knowledge Creation
- Evaluate major implementation activities and, where suitable, translate them into research, publications, case studies or other knowledge outputs. Where mutually beneficial and formally approved, activities may inform the Fellow’s higher-degree research, subject to separate supervision, ethics, data-access, authorship and intellectual-property approvals.
- Output 8. UP-AI Reporting
- Maintain clear and timely reporting of activities, risks, milestones and deliverables through the UP-AI output tracker and other agreed reporting mechanisms.
联系方式
- 👤 联系人：HR Department
- 📞 电话：023 221 624
- ✉️ 邮箱：jobs@puthisastra.edu.kh
- 📍 地址：# 55 Street 180-184, Sangkat Boeng Reang, Khan Doun Penh, Phnom Penh, Cambodia
位置 / Google 地图
来源：网络 · 2026-10-02 19:54:08