- Undertake a literature review to explicitly develop investment-specific KPIs cross-cutting water and climate to assess investments in water, land, energy and food systems on climate bankability, its relevance to national sustainable strategies, and investor’s climate goal.
- Applying earth observation-based models to derive productivity (land and water) indicators at different spatial scales across multiple cropping systems for both pre-investment and post-investment portfolio assessment.
- Conduct high-quality research on the role of climate finance in enhancing sustainable water resource management.
- Analyze the effectiveness of various climate finance mechanisms in supporting water projects, including public-private partnerships, green bonds, carbon credits and blended finance.
- Develop case studies and policy briefs highlighting successful models and best practices.
- Collaborate with a multidisciplinary team to develop, integrate, and implement innovative approaches for mainstreaming water in the climate finance portfolio in the regions where IWMI operates.
- Collaborate with team members to design and implement research projects on climate finance and water.
- Contribute to the scientific advancement and methodological developments of IWMI’s digital water innovation toolsets.
- Develop technical guidance and training materials for custom geospatial applications.
- Prepare high-quality research reports and journal articles.
- Provide technical support to researchers for complex geospatial analysis in various research and management projects at IWMI headquarters.
- Assist in training and capacity-building activities related to the tools developed within the Water Productivity/Water Accounting group.
- Perform other related assignments as required.
- PhD in Water Resources Management, Agricultural Science, Environmental Science, hydro-informatics or a related discipline.
- At least three years of demonstrated experience in conducting interdisciplinary research, preferably at the intersection of climate and water resources, using earth observation data and modeling tools.
- Evidence of scientific publishing, demonstrated by a very good publication record in peer review journals (minimum of 5 articles).
- Experience in calculations of water footprint measures across the value chain preferably in the Global South.
- Experience in use of soil sensors data/validation/ground-truthing.
- Prior experience in using supervised and unsupervised algorithms, including machine learning methods on large spatial datasets in Python, R, or any other programming language.
- Experience in using Amazon Web Services, Google Earth Engine or other cloud-based earth observation data processing environments for geospatial tool developments.
- Experience designing and implementing approaches for data-scarce environments.
- Strong understanding of deriving biophysical indicators on different types of crop systems from remote sensing and model-based approaches.
- Strong data assimilation and image fusion skills to integrate existing and upcoming satellite datasets and their processing methods for crop water use mapping.
- Strong understanding of impact assessment frameworks using earth observation data especially when dealing with small land sizes (<1 ha).
- Proficiency in Python, R, or other programming languages with experience in numeric and geospatial Python packages like Numpy, Scikit-learn, GDAL, or similar packages.
- Familiarity with climate finance mechanisms and their application in water resource projects.
- Strong analytical, numerical, and data visualization skills, with the ability to process large temporal and spatial datasets in Python.
- Ability to use advanced spatial analysis and geospatial tools for multi-scale assessments of agricultural water use.
- Positive attitude, solid work ethic, and a demonstrated capacity and interest in learning new technologies.
- Self-motivated, enthusiastic, and able to work independently and as part of a multidisciplinary team.
- Excellent oral and written language skills in English.
- Good interpersonal skills and the ability to establish and maintain effective working relationships with people in a multicultural and multidisciplinary environment, with sensitivity and respect for diversity.
- Experience in soil moisture downscaling approaches.
- Experience in model ensembles geared toward ET estimation.
- Fluency in French or Arabic would be an asset.
- Be Italian nationals holding a valid passport or identity card.
- Or be EU citizens holding a valid passport or identity card and confirmation of registration from the Registrar’s Office (Anagrafe)
- Or non-EU citizens holding a valid Italian work permit (permesso di soggiorno per lavoro subordinato)