Climate Change Adaptation Specialist

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Description

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• Address the spatial scale gap between global climate models and necessary fine-scale regional models.
• Utilize existing data, models, and software to extend Deep Learning into the climate Downscaling of large ensembles, thereby better project changes in extreme weather.
• Downscale global circulation models and reduce uncertainties in circulation patterns.
• Develop and interpret inter-annual to decadal forecasts and apply statistical pre-processing.
• Produce high-resolution climate datasets using dynamical downscaling and statistical bias correction.
• Develop, test, and simulate climate data downscaling prediction and evaluation.
• Study the effects of present and future climate on climate-smart water management interventions in the FCDO project sites.
• Provide dynamical downscaling of climate change and weather extremes.
• Offer specialist advice on physical climate risk management for WRAP technical interventions throughout the project cycle.
• Provide recommendations and develop internal guidance on climate change adaptation for the project.
• Develop capacity-building training modules and conduct awareness-raising activities on climate change for the FCDO project.
• Provide extensive technical support to IWMI’s WRAP team in developing climate-resilient solutions to address climate shocks, such as floods and droughts.

• PhD in climate sciences, environmental sciences, or earth sciences.
• At least 5 years of relevant work experience with international organizations in climate risk, climate adaptation, vulnerability reduction, and capacity development.
• Proven experience and knowledge of the framework and modeling on Climate Change.
• Experience with regional downscaling or regional climate modeling

• Strong background in quantitative and analytical skills.
• Ability to collaborate with a multidisciplinary team of experts in machine learning, separation of climate signals and noise, downscaling methods for climate data, pattern recognition, and spatio-temporal models.
• Familiarity with spatial analysis tools (particularly ArcGIS), data analysis tools (such as Python), and/or life-cycle analysis (LCA) for quality-controlled data analysis and database submission.
• Excellent report writing skills.
• Ability to deliver project outputs on time with guidance from the supervisor/project leader.
• Knowledge of diversity, inclusion, discrimination, and gender issues in Pakistan.
• Adherence to organizational values, ethics, and work with professional integrity.
• Well-developed personal organization and priority-setting skills.
• Highly developed skills in project/service delivery.
• Demonstrable high level of autonomy, initiative, expert judgment, adaptability, and flexibility.
• Demonstrable skills in leading and managing people.
• Excellent oral and written language skills in English & Urdu, including effective listening and strong verbal and written communication abilities.

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