Research Fellow (Integrated Assessment Modeling)

This Research Fellow position focuses on advancing Regional Integrated Assessment Model (IAM) modeling, specifically the GCAM, to understand the Land-Energy-Water nexus and its impact on resilient future pathways. Key responsibilities include data harmonization, developing new GCAM functionalities, and designing scenario simulations. Requirements include a PhD in Environmental Science, extensive GCAM experience with its modules, strong programming in R/Python, and excellent quantitative/analytical skills.

• Collect and harmonize multi-source datasets for model calibration and validation.
• Develop new model functionalities in GCAM, with a focus on land, water, and energy systems.
• Design and conduct scenario simulations to examine how climate and resource constraints influence regional resilience pathways.
• Participate in mentoring students and RAs on integrated assessment modeling and related workflows.

• We regret to inform that only shortlisted candidates will be notified.
• A PhD in Environmental Science.
• Posse extensive relevant experience in integrated assessment model (IAM) development and application, specifically with the GCAM. Experience should include designing scenario analyses, developing new model functionalities, and conducting model simulations to evaluate climate mitigation and adaptation pathways.
• Highly proficient in the GCAM framework, including its land-use (AgLU), water, and energy modules. Familiarity with the GCAM-USA or other regionalized GCAM variants, as well as other integrated assessment or earth system models, is highly desirable.
• Advanced programming skills in R and Python for data processing and visualization.
• Strong quantitative and analytical skills in working with large-scale geospatial datasets and socio-economic databases.
• Proficiency in high-performance computing (HPC) environments and scripting (e.g., Bash).
• As the position requires stakeholder engagement in English, candidate should have good written and oral communication skills in English.
• Candidate should have published scientific papers in high-quality research journals.
• Should be enthusiastic in research and have good spirit in teamwork and collaboration. Ability to work independently, develop solutions under strict timelines, meticulous attention to detail, and excellent organizational and time management skills.
• ASE seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.