University of Puthisastra

AI Development and Innovation Fellow

EducationPosted 3 w ago

Location

Phnom Penh

Job Type

FULLTIME

Work Mode

On-site

Industry

Education

Languages

English, Khmer

Description

The AI Implementation and Innovation Fellow will translate the UP-AI Centre’s approved priorities into practical, sustainable and measurable applications.
The role will identify university processes where AI, automation and digital tools can improve effectiveness, reduce repetitive tasks, strengthen teaching and learning, or create new opportunities for students and staff.
The Fellow will collaborate across academic and professional service functions to understand and map existing flows, prioritize appropriate use cases, lead or support the design and configuration of potential solutions, test these in controlled environments, and support their responsible adoption.
The work will begin with practical, lower-risk and achievable applications that can demonstrate value and build institutional confidence before progressing to more complex integrations.
The Fellow will apply a design-document-teach-transfer approach: identifying suitable opportunities; developing and testing solutions; documenting their operation, governance and maintenance; training staff and students; and transferring ongoing ownership to an appropriate UP unit.
The objective is to build institutional capability rather than dependence on an individual specialist.
This is an implementation-focused position and does not carry responsibility for the strategic leadership or management of the UP-AI Centre.
The Fellow will work under the direction of the Manager, UP-AI Centre, within priorities approved through UP’s AI governance structures.
The overall job description below outlines the main areas of responsibilities of the Employee: The precise 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.

Requirements

Ability to translate complex technologies to non-specialist users.
Strong documentation, communication, stakeholder-engagement and change-management skills.
Ability to collaborate across professional and academic teams.
Demonstrated capacity to take projects from concept through controlled implementation, evaluation and capability transfer.
Ability to operate within institutional governance, data-protection, cybersecurity and quality-assurance requirements.
Strong commitment to responsible and ethical use of AI.
Higher education teaching, learning-design or professional-development experience.
Experience with Moodle or another learning-management system.
Experience with low-code or no-code AI development environments, flow automation platforms, webhooks, APIs, authentication services, AI agents or systems integration.
Experience working across different cultural or international contexts.
Experience working with students on applied technology projects.
Knowledge of digital transformation in universities.
Experience evaluating or researching technology implementation.
Experience producing video demonstrations or reusable digital training resources.
Relevant industry, university or international networks in AI and digital innovation.

Required Skills

Translating complex technologiesDocumentationCommunicationStakeholder engagementChange managementCollaborationProject management (concept to implementation)Institutional governanceData protectionCybersecurityQuality assuranceResponsible and ethical use of AIHigher education teachingLearning designProfessional developmentMoodleLearning management systemsLow-code AI developmentNo-code AI developmentFlow automation platforms

Schedule & Flexibility

Schedule:standard

About University of Puthisastra Co., Ltd.

Company page Visit Website

The University of Puthisastra (UP) is a private university in Phnom Penh that focuses on Health Sciences and Technology. UP is committed to developing higher education in Cambodia and enabling its students to become future leaders of Cambodia in Health Care and Technology.

Industry

Education

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Description

The AI Implementation and Innovation Fellow will translate the UP-AI Centre’s approved priorities into practical, sustainable and measurable applications.
The role will identify university processes where AI, automation and digital tools can improve effectiveness, reduce repetitive tasks, strengthen teaching and learning, or create new opportunities for students and staff.
The Fellow will collaborate across academic and professional service functions to understand and map existing flows, prioritize appropriate use cases, lead or support the design and configuration of potential solutions, test these in controlled environments, and support their responsible adoption.
The work will begin with practical, lower-risk and achievable applications that can demonstrate value and build institutional confidence before progressing to more complex integrations.
The Fellow will apply a design-document-teach-transfer approach: identifying suitable opportunities; developing and testing solutions; documenting their operation, governance and maintenance; training staff and students; and transferring ongoing ownership to an appropriate UP unit.
The objective is to build institutional capability rather than dependence on an individual specialist.
This is an implementation-focused position and does not carry responsibility for the strategic leadership or management of the UP-AI Centre.
The Fellow will work under the direction of the Manager, UP-AI Centre, within priorities approved through UP’s AI governance structures.
The overall job description below outlines the main areas of responsibilities of the Employee: The precise 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.

Requirements

Ability to translate complex technologies to non-specialist users.
Strong documentation, communication, stakeholder-engagement and change-management skills.
Ability to collaborate across professional and academic teams.
Demonstrated capacity to take projects from concept through controlled implementation, evaluation and capability transfer.
Ability to operate within institutional governance, data-protection, cybersecurity and quality-assurance requirements.
Strong commitment to responsible and ethical use of AI.
Higher education teaching, learning-design or professional-development experience.
Experience with Moodle or another learning-management system.
Experience with low-code or no-code AI development environments, flow automation platforms, webhooks, APIs, authentication services, AI agents or systems integration.
Experience working across different cultural or international contexts.
Experience working with students on applied technology projects.
Knowledge of digital transformation in universities.
Experience evaluating or researching technology implementation.
Experience producing video demonstrations or reusable digital training resources.
Relevant industry, university or international networks in AI and digital innovation.