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Post-doctoral Research Fellow (PDF)/Research Associate (RA): Monitoring, Evaluation, and Learning (MEL) (SERD )
Ref no:
Field of study
Department of Development and Sustainability
September 13, 2019
Contact Info:
Tel no. (66-2) 524-5019
Fax no. (66-2) 524-5056
Only applications of shortlisted candidates will be notified and invited for interviews.


Accountable to the DDS, the PDF/RA will support and participate in MEL activities conducted by AIT for UKRI GCRF Trade, Development and the Environment Hub.


In coordination with the UNEP-WCMC Hub management team and the AIT CO-Is:

  • Contribute to and possibly design M&E cross-learning tools and virtual platform for effecting progress monitoring;
  • Manage the project’s MEL software, including regular update, collation of inputs and cross-checking of the data;
  • Conduct MEL related capacity building trainings and workshops for project countries as needed;
  • Facilitate MEL related cross-country learning initiatives as needed;
  • Prepare regular project reports, work closely with international collaborators and partners on the GCRF Trade, Development and the Environment Hub;
  • Conduct baseline and mid-term assessments, including with reference to the Pathways to Impact;
  • Support the WP0 co-leads and UNEP-WCMC management team to ensure that the Theory of Change and Pathways to Impact are up to date, as per the evolving nature of the project;
  • Prepare write-ups of relevant literature reviews, workshop outcomes, and assessment results into scientific papers;
  • Present the project work at national and international conferences;
  • Write up the findings from the project for websites and submission to leading international journals;
  • Any other duties as allocated by the line managers following consultation with the post holder.


  • PhD (or close to completion) in quantitative social science. Candidates with strong professional background but without a PhD may be considered for a position of Research Associate;
  • Demonstrated experience of designing and implementing M&E systems in a development context;
  • Strong data collection and management skills. Familiarity with MS Excel and ideally with M&E softwares;
  • Experience with data analysis techniques. Proficiency in a statistical package such as IBM-SPSS, STATA, and/or R is a plus;
  • Ability to conceptualise research themes and conduct relevant literature research;
  • Ability to work as part of a team;
  • Ability to summarise literature and write project reports;
  • Ability to work with minimum supervision and respect deadlines; 
  • Ability to plan and organise field work with assistance from the department’s administrative office;
  • Ability to prepare material for public presentation;
  • Ability/willingness to travel, including to resource poor locations;
  • A record of a couple of peer-reviewed publications is a plus;
  • A good command of English, both oral and written. Knowledge of other languages of the project countries would be an advantage.

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