Post-Doctoral Fellow – GIS at University of Nairobi

REF: AD/10/103/22

The Post-Doctoral Fellow will be engaged in the following research activities:

• Detailed literature review & identification of sources of data and information
• Actively participate in the identification of adaptation needs through assessment of infrastructure system resilience to climate hazards and with respect to (1) enabling
• environment, (2) built environment, (3) natural environment.
• Lead in the establishment of an inventory/spatial Database of spatial data on: Climate hazards (highest resolution probabilistic data); Infrastructure networks and assets - energy, water,
• roads, rail, ports, airports, and ICT assets; Critical physical assets that rely on infrastructure systems, such as hospitals, clinics, and schools; Natural assets that can play a role in
• protecting or substituting infrastructure assets and services; and Related economic and social services that rely on these networks (e.g. trade flows and traffic flows)
• Map climate hotspots where infrastructure systems and assets are exposed to climate related hazards and in collaboration with other project team members quantify climate impacts on
• physical assets and quantify the cost of disruptions on services.
• Support multi-stakeholder climate risk dialogues and contribute to the development of the Master class on PPPs using spatial/ mapped case studies.
• Any other duties.

Requirements:

Essential

• Hold a PhD degree in Geoinformation or related field
• Competent in using Geographic Information Systems (GIS) tools for spatial modeling
• Knowledge of climate change and adaptation and the policy contexts
• Experience in undertaking high quality research in the application of spatial tools
• Knowledge of sustainable development, climate change mitigation and adaptation, East African environmental and developmental policies
• Desire to learn and explore new intellectual territory
• Motivation and ability to work collaboratively in a large trans disciplinary project including multiple disciplines, cultures, languages and environments
• Willingness to undertake field and stakeholder-based research
• Demonstrated strong communication skills, both oral and written
• Ability to work with minimum supervision and to coordinate and oversee research assistants

Desirable

• Experience of reporting and presenting research findings to a variety of audiences
• Familiarity with multidisciplinary/trans disciplinary approaches to research
• Strong in data analytics, including programming languages such as Structured Query Language (SQL), R or Python-Statistical Programming
• Good data visualization and presentation skills