The International Centre of Insect Physiology and Ecology (icipe) RESEARCH OFFICER I (MATHEMATICAL MODELLER) About us The Internati
The International Centre of Insect Physiology and Ecology (icipe)
RESEARCH OFFICER I (MATHEMATICAL MODELLER)
About us
The International Centre of Insect Physiology and Ecology (icipe) is a pan-African Centre of excellence in research for development and capacity building in insect science and its applications. Its mission is to help alleviate poverty, ensure food and nutritional security, and improve the overall health status of people in the tropics. It does so by developing and extending management tools and strategies for harmful and useful arthropods while preserving the natural resource base. Since its establishment in 1970, icipe has become a significant to the science and innovation required to meet the health and food security challenges of sub-Saharan Africa. The Centre has achieved this status by developing alternative and environmentally friendly pest and vector management technologies and products that are effective, selective, non-polluting, non-resistance inducing, and affordable to resource-limited rural and urban communities. icipe is headquartered in Nairobi, Kenya, and has operations in more than 40 African countries, as well as thriving partnerships with universities and research organizations across the world. Employing over 500 international and national staff, icipe also has approximately 150 graduate students who contribute to its research portfolio annually. For additional information, visit: www.icipe.org.
icipe seeks to recruit two Research Officer I (Mathematical Modellers) in the Data Management, Modeling & Geoinformation (DMMG) Unit. The positions are tenable in Nairobi at the icipe Duduville campus. This is a one-year contract, renewable subject to continued position needs, funding for the position, and performance of the staff member. This is a nationally recruited position. A competitive compensation package will be offered to the right candidate. Only shortlisted candidates will be contacted.
Overall Purpose of the Job
The Mathematical Modelers will be responsible for formulating, programming, and deploying mathematical models that comprehend complex processes in animal-related problems. They will leverage existing data resources within icipe and its partners and use their skills to deliver high-quality data-driven decision-making.
Specific duties
The successful candidates are expected to:
- Work closely with experts (e.g., entomologists, statisticians, GIS, surveillance, data scientists, and disease experts) across the project/unit to acquire domain knowledge and data for model parameterisation and calibration.
- Perform descriptive and exploratory statistical analysis of individual-level or aggregate-level data to parameterize models for suitability analysis and spatial decision tools.
- Develop mathematical models for drivers and present scenarios/(un)certainties for spatial decision tools.
- Perform analytical (counterfactual) simulation experiments using mathematical models for various animal-health outcomes.
- Maintain high-quality coding practices, version control, and documentation of coding for reproducibility.
- Contribute to manuscript and report writing.
- Any other duties assigned.
Requirements/ qualifications
- BSc/BA in Mathematics, Statistics, Computer Science or any other related field from a recognized University.
- Minimum of one year of proven work experience in a more or less similar position.
- Previous experience at an international/ regional research organization is an added advantage.
- Good understanding of mathematical modeling.
- Good understanding of computer programming.
- Strong written, verbal, and interpersonal skills.
Reporting
This position reports to the Post-Doctoral Fellow.
How to apply
Applications will be accepted up to 24th September 2025. Interested applicants should submit:
(a) a confidential cover letter;
(b) a detailed CV with names and addresses of 3 referees (including e-mail addresses); and
(c) a statement illustrating suitability against the listed qualifications/competencies/abilities, and skills.
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