Join CIMMYT as Post-Doctoral Fellow – Data Scientist!
The holder of this position should conduct and contribute to collaborative research at the nexus of agricultural research, applied micro-economic research, and geo-spatial modeling of human and biophysical systems, drawing on large amounts of data, and using a variety of machine learning and data-mining approaches.
The position will be based at CIMMYT’s in eastern Africa (Ethiopia office, located in Addis Ababa or Kenya office, located in Nairobi).
Specific duties:
Contribute to the development of analytical models for ex ante evaluation of impacts of new production technologies at scale using a variety of machine learning and data-mining approaches.
Development of tools for quick monitoring of data collected via CAPI software.
Integration of data from multiple sources, e.g. household surveys, farm trials, market information, remote sensing and geospatial data.
Provide support to the development of project proposals and reports.
Produce peer-reviewed research articles.
Other duties as assigned by the supervisor
If you have a recent Ph.D. in statistics or a quantitatively-oriented social or natural science, apply to this excellent job opportunity.
Requirements:
Experience with modern statistical learning approaches, including machine learning algorithms and data mining techniques.
Experience with spatial modeling.
Competency in R and/or Python.
Strong understanding of database architecture, statistics, data visualization, etc.
Expertise in working with large data sets.
An ability to teach others.
Ability to analyze and understand data from diverse sources, including household survey data, farm trials data, and remote sensing data.
The selected candidate must exhibit the following competencies: Proactive, Problem Solving, Decision-making, Achievement Orientation and Teamwork.
For further details about this job and CIMMYT please refer to our website: www.cimmyt.org