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Post-doctoral Research Fellow (PDF)/Research Associate (RA): Monitoring, Evaluation, and Learning (MEL) (SERD )
Ref no:
40/19
Field of study
Department of Development and Sustainability
Deadline:
September 13, 2019
Contact Info:
Email: hro-apply@ait.asia
Tel no. (66-2) 524-5019
Fax no. (66-2) 524-5056
Remark:
Only applications of shortlisted candidates will be notified and invited for interviews.
Qualification:

Purpose:

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.

Duties/Responsibilities:

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.

Qualifications:

  • 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.

To apply, please register online and complete the registration form. You must create your own username and password, once completed, go back to the advertisement page and click the "Apply Now" button.

Please do not forget to upload your comprehensive resume which shall include your letter of application, a recent photograph, and the names, affiliations, addresses and telephone numbers of three referees who are familiar with candidates competencies.

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