The International Water Management Institute (IWMI), a CGIAR Research Center is seeking an innovative & multi skilled candidate to join its office in Lahore, Pakistan, as Artificial Intelligence & Data Science.
This is a readvertisement of the position. If you have applied before, please do not reapply. Thank you for your understanding.
The Senior Research Officer – Artificial Intelligence & Data Science will be responsible for leveraging geospatial information to develop machine learning algorithms for irrigation demand forecasting. The incumbent will collaborate on water-related projects, develop Python algorithms for efficient data processing, implement AI-based techniques for forecasting models, and develop and maintain AI models.
By integrating AI data science with hydrological and socio-economic data, the incumbent will contribute to informed decision-making and sustainable water resource management for IWMI initiatives under the FCDO-funded Water Resources Accountability Programme (WRAP). The officer will synthesize spatial information, identify data gaps, acquire missing data through remote sensing approaches, and integrate them into the machine learning algorithms. The candidate will also contribute to writing donor reports and research publications.
DUTIES & RESPONSIBILITIES: - Work closely with the researchers to develop and implement machine learning algorithms for irrigation demand forecasting using geospatial data.
- Develop and maintain Python-based algorithms, models, and scripts to process, analyze, and visualize large datasets including satellite imagery, climate, irrigation, hydrological and socioeconomic data.
- Integrate AI driven and predictive modeling solutions with interdisciplinary teams to understand the distribution, dynamics of water resources, land use, and related variables.
- Apply statistical methods and machine learning techniques (e.g., decision trees, data mining techniques, CNNs, generative AI) to analyze extensive water-related datasets and extract actionable insights.
- Assist in processing remote sensing imagery to develop forecast models based on hydro-meteorological datasets for various crops and water bodies.
- Utilize remote sensing techniques and tools to collect, process, and interpret satellite images for water-related applications.
- Develop predictive models based on remote sensing datasets to enhance Models for the water system and risk mitigation strategies.
- Identify data gaps and integrate missing data into machine learning algorithms using libraries like scikit-learn, TensorFlow, or PyTorch.
- Assist in developing AI-based Spatial Decision Support Systems and applications to facilitate evidence-based decision-making for water resource management and planning.
- Provide training and technical assistance to project partners, government agencies, and local stakeholders on AI and data science applications in water management.
- Prepare high-quality project reports on spatial analysis and forecasting modeling results, adhering to project timelines.
