Post-Doctoral Scientist: livestock sector foresight/ex-ante economic modeling

  • Nairobi, Kenya
  • Policy Institutions and Livelihoods

The International Livestock Research Institute (ILRI) seeks to recruit a post-doctoral scientist to contribute to model development and quantitative foresight modeling related to national and global livestock sector analyses.

ILRI works to improve food and nutritional security and reduce poverty in developing countries through research for efficient, safe and sustainable use of livestock. It is the only one of 15 CGIAR research centres dedicated entirely to animal agriculture research for the developing world. Co-hosted by Kenya and Ethiopia, it has regional or country offices and projects in East, South and Southeast Asia as well as Central, East, Southern and West Africa (

Key responsibilities

  • Conduct sector level quantitative livestock systems analysis with a focus on herd dynamics, feed availability and use, climate change, and land use
  • Conduct livestock sector and national level economic and policy analysis
  • Contribute to ongoing model development to (a) improve the livestock sector quantification in a national/global economic model; and (b) enhance the ex-ante (environment, income, nutrition, gender) impact functionalities of a national/regional, spatial multi-market partial equilibrium model
  • Support the development and implementation of national livestock master plans ( with quantitative livestock systems analysis
  • Contribute to peer-reviewed publications and other relevant communication products
  • Contribute to proposal writing to raise additional resources for policy and foresight research.
  • Perform any other related duties as may be assigned


  • PhD. in Economics, Agricultural Economics, or a closely related field
  • Relevant post-Ph.D. experience with strong economic modeling skills will be considered
  • Expertise (required) in foresight/ex-ante economic impact quantitative agricultural/livestock sector analysis.
  • Strong skills in partial/general equilibrium analysis using GAMs
  • Experience in climate change or environmental quantitative analysis
  • Track record of engagement in peer-reviewed publications
  • Familiarity with the context of livestock systems and sectors in developing countries
  • Experience using econometric software such as STATA and R is an advantage
  • Relevant professional certification
  • Excellent written and spoken English
  • Good interpersonal and communication skills and ability to work well with a team
  • Experience working in multi-disciplinary and multi-cultural teams
  • Proven ability to work within strict deadlines
  • Proven ability to work independently
  • Ability to travel extensively to regional and international locations

Post location: The position will be based in Nairobi, Kenya

Terms of Appointment

This position is at job level HG 16. The position is a 2-year contract, renewable subject to satisfactory performance and availability of funding. ILRI offers a competitive salary and benefits package which includes pension, medical and other insurances

How to apply: Applicants should send a cover letter and CV expressing their interest in the position, what they can bring to the job and the names and addresses (including telephone and email) of three referees who are knowledgeable about the candidate’s professional qualifications and work experience to the Director, People and Organizational Development by clicking on the "Apply Now" tab above before 17 September 2022 The position title and reference number REF: PIL/553/2022 should be clearly marked on the subject line of the cover letter.

We thank all applicants for their interest in working for ILRI. Due to the volume of applications, only shortlisted candidates will be contacted.

ILRI does not charge a fee at any stage of the recruitment process (application, interview meeting, processing or training). ILRI also does not concern itself with information on applicants' bank accounts.

To find out more about ILRI visit our websites at

ILRI is an equal opportunity employer.

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