Job Summary

Based in Nairobi, Kenya, the Department of Population Health (DPH) is comprised of a highly-skilled multi-disciplinary team with expertise in medical, public health, social, demography, statistical and policy sciences with a vision to contribute to the health of populations, particularly those most in need, by using a population health science approach.

The incumbent will be responsible for conducting research at the intersection of environment, climate change and health. He/she will support innovative research studies, publish scholarly work, and seek opportunities to actively build their capacity within the programme.

 Responsibilities

• Specifically, the incumbent will:
• Design and undertake a research-based scholarly project for the duration of the fellowship to advance understanding in climate and health.
• Contribute to the development and implementation of ongoing research projects with the opportunity to build capacity in designing experiments, novel data collection approaches and advanced data analysis.
• Publish at least one manuscript in a reputable journal as lead author.
• Actively contribute to publications in peer-reviewed journals, present at conferences, and participate in academic discussion to disseminate research.
• Contribute to capacity development of junior researchers, research staff and students.

Requirements

Applicants should:

• Hold a PhD (recently completed) in Population/Public/Global/International Health (all with a focus on Environmental Health) or Environmental Health or Climate Change or any closely related field.
• Have a BA and/or MSc in any of the above or closely related fields.
• Have demonstrable ability to conduct independent/supportive research, formulate hypotheses, design experiments and critically analyze data
• Be capable of addressing complex scientific or academic challenges within the specified field of study
• Possess excellent written and verbal communication skills
• Have experience in mentorship or teaching
• Have working knowledge of specific methodologies, tools, software or laboratory techniques relevant to the specific research area.