Ocean Job Board
Unesco
Type of contract : Consultant Contract
Level : Level 1 - Junior
Hiring Unit : Institute for Lifelong Learning (UIL)
Duty Station : Hamburg
Work location : Remote
Duration of contract : 8 months
Hiring open to : External candidates
Application deadline (Midnight UTC+1 Time) : 17/04/2026
UNESCO Core Values: Commitment to the Organization, Integrity, Respect for Diversity, Professionalism
Within the framework of the UNESCO Global Network of Learning Cities (GNLC), the consultant will lead the co-development of a revised monitoring and evaluation (M&E) framework for the GNLC. This work forms the central component of the consultancy.
In addition to the M&E framework development, the consultant will contribute to the organisation and delivery of one webinar within the GNLC Webinar Series 2026, offer support in the conceptualisation of the AI and digital learning lab for learning cities, and provide ad hoc support for thematic presentations, briefing notes, and knowledge products as required.
Under the supervision of the Team Leader of the STL Programme, Raúl Valdés Cotera, and supported by STL team members, the consultant will complete the following activities:
1.1. Conduct interviews with a minimum of five GNLC member cities, representatives, or regional sub-networks to assess needs, political will, capacity for M&E, and priority outcomes to develop a theory of change for the revised M&E framework.
1.2. Lead the formation of an expert advisory group to gather bi-monthly feedback on technical aspects of the new M&E framework.
1.3. Organise and facilitate four feedback sessions with the advisory group.
1.4. Conduct thematic analysis of interview data and produce a draft note on the theory of change.
1.5. Develop a revised version of the provisional M&E framework and concept note based on interview findings.
1.6. Facilitate co-creation sessions with a subset of interviewed cities to develop a refined bank of M&E questions.
1.7. Develop a draft indicator database (v1), with each indicator accompanied by rationale notes covering expected use, added value, validity, reliability, feasibility, and data requirements.
1.8. Design and administer a broader survey to the GNLC to complement interview findings; produce survey results dataset and thematic analysis.
1.9. Prepare the organization of one in-person training module at the GNLC Academy yearly campus.
1.10. Develop a revised indicator database (v2) based on survey findings.
1.11. Prepare a draft framework report for team review.
1.12. Recruit a minimum of five cities for the pilot study.
1.13. Draft a revised version of the progress report questionnaire based on the draft framework report and indicator database, and disseminate to pilot cities.
1.14. Collect, analyse, and prepare a report on the results of the pilot study.
1.15. Finalise the indicator database (v3) and framework for internal agreement after incorporating findings from the pilot study.
2.1. Organise and deliver one online webinar for GNLC member cities as part of the GNLC Webinar Series 2026.
3.1. Provide inputs for the development of an AI and digital learning lab for learning cities.
3.2. Prepare presentations, briefing notes, and slides on thematic topics as required (e.g., GNLC M&E framework, lifelong learning for older adults, AI and digital learning).
27 April to 31 December 2026
Deliverbales:
1.1 – Facilitation of interviews with at least five GNLC member cities or sub-network representatives;
1.2. – Finalise the advisory group members’ list
1.3 – Draft note on the theory of change following analysis of interview data
Date: 15/05/2026 3,000 eur
Deliverables
1.5 – Revised provisional M&E framework and revised concept note;
1.6 – Cleaned and categorised bank of M&E questions
Date: 15/06/2026 3,000 eur
Deliverables
2.1 – Organisation and delivery of GNLC Webinar on AI and lifelong learning in learning cities
1.7 – Draft indicator database (v1) with rationale notes
Date: 15/07/2026 3,000 eur
Deliverables
1.8 – Survey questionnaire and results dataset
Date: 15/08/2026 3,000 eur
Deliverables
1.9 – Organisation of one training module at the GNLC Academy yearly campus
1.12 – Final list of recruited cities for the pilot study
Date: 15/09/2026 3,000 eur
Deliverables
1.10 – Revised indicator database (v2) following survey findings;
1.11 – Draft framework report shared for team inputs;
1.13 – Final design of revised progress report questionnaire and dissemination to pilot cities
Date: 15/10/2026 3,000 eur
Deliverables
1.14 – Report on the results of the pilot study analysis
Date: 15/11/2026 3,000 eur
Deliverables
1.15 – Finalised indicator database (v3) and framework report;
3.1 – Provide inputs for the development of the AI learning lab for learning cities.
3.2 – Presentations, briefing notes, and summaries as required
1.4. – Organise and facilitate four feedback sessions with the advisory group
Date: 15/12/2026 3,000 eur
TOTAL 24,000
For detailed information, please consult the UNESCO Competency Framework.
EDUCATION
WORK EXPERIENCE
SKILLS AND COMPETENCIES
LANGUAGES
Interested candidates should submit one consolidated pdf which includes the following information (please upload this pdf INSTEAD of the employment history form):
The proposal should not exceed 5 pages. Proposals missing any of the above will not be considered.
Only shortlisted candidates will be contacted for interviews.
Deadline of application: 17 April - 23:59 CEST (Paris local time)
Please note that all candidates must complete an on-line application and provide complete and accurate information, by the above deadline.
To apply, please visit the UNESCO Careers website. No modifications can be made to the application once submitted.
The process may include pre-recorded video interviews and/or written assessments, interviews with a Panel, as well as reference checks. In addition, candidates may be requested to provide additional information which may be pertinent to the position’s qualifications.
Please note that all candidates, whether selected or not, will be informed of the outcome of their application in due course.
Short-listed candidates may also be added to Talent Pools; subject to their consent (i.e. Data Privacy Statement).