Key Responsibilities:

• Leadership in Social-Ecological Systems Research 2Across all 6 EFTEON Landscapes
   
• Lead the development of the EFTEON Social-Ecological Systems Research Program for long-term observations of interactions between social and ecological systems across all six EFTEON landscapes. In conjunction with the SES Thematic Technical Committee
   
• Development of and guiding a complex adaptive systems approach to SES research in the EFTEON landscapes
   
• Using best local and international practice to situate SES research in the local communities to ensure a respectful, sustainable and mutually beneficial relationship and embed EFTEON research infrastructures within their respective communities.
   
• Guiding and managing EFTEON ETHICS considerations relating to local communities and individual human subjects.
   
• In conjunction with appropriate internal and external platform users and other stakeholders, lead the development and testing of a
   
• ́Theory of Changeμwithin EFTEON landscapes and across the EFTEON Network.
   
• Development and documentation of the procedures and requirements for
   
• Repeated social-ecological surveys.
   
• Quantitative and qualitative assessment of ecosystem service provision and use across the EFTEON Landscapes.
   
• Appropriate and best practice management of social-ecological systems data in co-ordination with the SAEON uLwazi node , local and international specialists, and appointed thematic technical committees.

Key Requirements:

• Completed PhD degree in an appropriate field related to Environmental Science, Ecology, Economics, Anthropology, Politics,
• Complexity Science, or related fields with a particular interest in intertwined, complex adaptive social- ecological systems.
• A PhD or post PhD experience in at least one of the following
• Experience in facilitating inter- and transdisciplinary focus groups, workshops and meetings
• Demonstrable experience in natural resource management or environmental governance
• Evidence of science policy engagement relating to natural resource management or sustainable development
• Strong data analytical skills (R or Python)