OVERVIEW

Parent Sector : Education Sector (ED)

Duty Station: New Delhi

Job Family: Computer Sciences / Information Technologies

Type of contract : Non Staff

Level : Level 4 (Equivalent to NOB)

Duration of contract : 1 year

Recruitment open to : Internal and external candidates

Application Deadline (Midnight Paris Time) : 15-May-2024

UNESCO Core Values: Commitment to the Organization, Integrity, Respect for Diversity, Professionalism

Duration of Contract is one (1) year, with the possibility of an extension subject to the availability of funds and satisfactory performance. Only Indian Nationals are eligible to apply for this position.  

OVERVIEW OF THE FUNCTIONS OF THE POST

The UNESCO Mahatma Gandhi Institute of Education for Peace and Sustainable Development (MGIEP) is UNESCO’s first education-related category 1 institute in the Asia and the Pacific region towards the development and promotion of new approaches to education for a more peaceful and sustainable world. The Institute is a globally regarded centre of excellence for research and implementation of socio-emotional learning (SEL) through innovative digital pedagogies empowered by Artificial Intelligence.

Under the overall authority of the Director and direct supervision of the National Information Technology Officer (NITO) of the Institute, the incumbent will serve as “Associate National Project Officer (AI-in-Education researcher)”.

Duties and Responsibilities

The duties of the AI-in-Education researcher are targeted around conducting AI-in-Education (AIED) research on FramerSpace. The list of duties includes:

 (1) AI Integration Strategy

• Develop and implement a comprehensive strategy for integrating artificial intelligence into the educational framework of FramerSpace.
• Identify areas where AI can enhance learning outcomes and user experience.

(2) Educational Data Mining

• Conduct in-depth analysis of educational data generated by FramerSpace, leveraging AI techniques to derive insights into learner behavior, engagement, and performance.

(3) Personalized Learning Algorithms

• Research, design, and implement personalized learning algorithms that adapt to individual learner needs, providing customized educational experiences.

(4) Content Recommendation Systems

• Implement AI-driven content recommendation systems to suggest relevant learning materials, activities, and assessments based on individual learner profiles and preferences.

Long Description

 (5) Intelligent Tutoring Systems

• Investigate and implement intelligent tutoring systems within FramerSpace, leveraging AI to provide real-time guidance and support to learners.

(6) Collaboration with Educational Researchers

• Collaborate with UX Researcher, educational researchers and social emotional learning researchers within UNESCO MGIEP and outside to assess the impact of AI interventions on pedagogical methodologies and learning outcomes.

(7) Ethical AI on FramerSpace

• Ensure that AI integration on FramerSpace adheres to the ethical guidelines proposed by UNESCO MGIEP and the community worldwide ensuring fair, unbiased, and transparent AI practices.

(8) Continuous Improvement

• Implement mechanisms for continuous improvement of AI algorithms through feedback loops, iteration, and adaptation based on user interactions and educational outcomes.

Long Description

(9) AI Literacy Initiatives

• Contribute to the development of educational content and initiatives that enhance AI literacy among learners and educators using FramerSpace.

(10) Monitoring and Evaluation

• Establish metrics and indicators to monitor the effectiveness of AI-in-Education initiatives.
• Regularly evaluate the impact of AI on learner performance, engagement, and satisfaction.

(11) Documentation, Reporting and Publication

• Document and publish AI methodologies, implementation processes, and research findings.

(12) Any other related task as assigned by the supervisor/ Director.                                  

COMPETENCIES (Core / Managerial)

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REQUIRED QUALIFICATIONS

Education Qualification:

• Advanced university degree (Masters or equivalent) in education, educational technology, AI in Education, or a related discipline.

Work Experience

• Minimum 2 years of relevant work experience in working with domains such as AI-in-Education, Educational Data Mining, Artificial Intelligence, Intelligent Tutoring Systems, or Learning Analytics.
• Demonstrable experience in authoring journal papers.

Position-Related Skills and Competencies:

• Artificial Intelligent Algorithms design and integration
• Educational Technology research design and administration
• Quantitative and multimodal data analytics-based research methodologies
• Experience with applying theories from cognitive science and learning science in designing AI based technology to enhance learning experiences.
• Excellent interpersonal and communication skills.
• The ability to multi-task, deal with ambiguity, and cope with rapidly changing and pressurized circumstances

Languages: 

Very good knowledge (written and spoken) of English.

DESIRABLE QUALIFICATIONS

Education

• Ph.D. in education, educational technology, AI in Education, Educational Data Mining, or related discipline.

Work Experience

• Professional experience within an educational or EdTech institution/industry, and experience working in a multidisciplinary team will be an asset.

 Languages

• Working knowledge of other UNESCO Official languages (Arabic, Chinese, French, Spanish, and Russian) will be an asset.

BENEFITS AND ENTITLEMENTS

UNESCO’s salaries consist of a basic salary and other benefits, which may include, if applicable: 30 days annual leave, reimbursement of medical insurance (up to 5% of base salary), pension plan (up to 10% of base salary), etc. The annual base salary of NOB R1 is INR 1,751,502 (Negotiable).

SELECTION AND RECRUITMENT PROCESS

Please note that all candidates must complete an on-line application and provide complete and accurate information. To apply, please visit the UNESCO careers website. No modifications can be made to the application submitted.

The evaluation of candidates is based on the criteria in the vacancy notice, and may include tests and/or assessments, as well as a competency-based interview. 

UNESCO uses communication technologies such as video or teleconference, e-mail correspondence, etc. for the assessment and evaluation of candidates.

Please note that only selected candidates will be further contacted and candidates in the final selection step will be subject to reference checks based on the information provided.

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UNESCO recalls that paramount consideration in the appointment of staff members shall be the necessity of securing the highest standards of efficiency, technical competence and integrity. UNESCO applies a zero-tolerance policy against all forms of harassment. UNESCO is committed to achieving and sustaining equitable and diverse geographical distribution, as well as gender parity among its staff members in all categories and at all grades. Furthermore, UNESCO is committed to achieving workforce diversity in terms of gender, nationality and culture. Candidates from non- and under-represented Member States (last update here) are particularly welcome and strongly encouraged to apply. Individuals from minority groups and indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the highest level of confidentiality. Worldwide mobility is required for staff members appointed to international posts.

UNESCO does not charge a fee at any stage of the recruitment process.