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About
the organization
The World Agroforestry Centre is an independent research institution which generates science-based knowledge about the complex role trees play in agricultural landscapes and rural livelihoods.
As part of the Centre’s work to bring tree-based solutions to bear on poverty and environmental problems, researchers – working in close collaboration with partners – are developing new technologies, tools and policy recommendations for increased food security and ecosystem health.
The Centre’s headquarters are located in Nairobi, Kenya, and research is conducted in 23 countries in Africa, Asia and Latin America.
We are supported by the Consultative Group on International Agricultural Research (CGIAR) and receive funding from over 50 different donors.
The job specifically includes the following duties and responsibilities:
The World Agroforestry Centre is an independent research institution which generates science-based knowledge about the complex role trees play in agricultural landscapes and rural livelihoods.
As part of the Centre’s work to bring tree-based solutions to bear on poverty and environmental problems, researchers – working in close collaboration with partners – are developing new technologies, tools and policy recommendations for increased food security and ecosystem health.
The Centre’s headquarters are located in Nairobi, Kenya, and research is conducted in 23 countries in Africa, Asia and Latin America.
We are supported by the Consultative Group on International Agricultural Research (CGIAR) and receive funding from over 50 different donors.
The job specifically includes the following duties and responsibilities:
- Provide support to the Research Methods Group (RMG) in data analysis and data mining of survey data
- Assist with the documentation of tools and methods
- Assist with preparation of scientific publications.
Qualifications
and experience
- BA/BSc degree in Statistics, Bio-Statistics, Bio-Informatics or Natural Resource Management
- Professional qualifications in statistical software languages for the analysis of data and ability to program in one or more of the following: STATA, SPSS, R
- At least 2 years of experience in research data analysis
- Extensive knowledge and experience in using R language for data management and analysis
- Previous experience in data management and report writing preferred
- Understanding and experience of applied agricultural research will be an added advantage
- Excellent interpersonal communication and good personal organization skills required
- Excellent command of spoken and written English.
Terms
of offer
We offer a collegial, diverse and gender-sensitive working environment, and we strongly encourage applications from qualified women.
This position is remunerated on local terms.
The appointment will be for an initial period of three (3) years, subject to a six (6) months’ probation period.
How to apply
Prepare:
We offer a collegial, diverse and gender-sensitive working environment, and we strongly encourage applications from qualified women.
This position is remunerated on local terms.
The appointment will be for an initial period of three (3) years, subject to a six (6) months’ probation period.
How to apply
Prepare:
- A cover letter illustrating your suitability for the position, and your salary expectations.
- A detailed and up-to-date curriculum vitae.
- The names and addresses of three referees, including telephone numbers and email addresses, and fax details, if available.
Address
these to:
The Human Resources Unit,
World Agroforestry Centre (ICRAF),
PO Box 30677, 00100, Nairobi, Kenya
OR send via email to: icrafhru@cgiar.org.
Indicate “Application for an Assistant Statistician –RMG” on the application letter.
Applications will be considered until 15 February 2012.
Please note that only short-listed applicants meeting the above requirements will be contacted.
To learn more about us, visit our website: www.worldagroforestry.org
The Human Resources Unit,
World Agroforestry Centre (ICRAF),
PO Box 30677, 00100, Nairobi, Kenya
OR send via email to: icrafhru@cgiar.org.
Indicate “Application for an Assistant Statistician –RMG” on the application letter.
Applications will be considered until 15 February 2012.
Please note that only short-listed applicants meeting the above requirements will be contacted.
To learn more about us, visit our website: www.worldagroforestry.org
