Department: Centre for Water Informatics & Technology (WIT)
Job Level: Research Associate (PhD/Master’s) / Research Assistant (Bachelor’s)
Deadline: February 25, 2026
Full-time (Single Position)
Position Purpose: The selected candidate will be responsible for developing and implementing a basin-scale, open-source hydrological model. This role focuses on quantitative simulation of water cycles and on integrating climate scenarios to support evidence-based water management and resilience strategies.
How to Apply: Interested candidates are requested to submit applications here
Main Responsibilities:
- Hydrological Model Development: Develop and customize basin-scale hydrological models using open-source frameworks to simulate rainfall-runoff and groundwater dynamics.
- Climate Scenario Integration: Incorporate climate model datasets to assess future water availability under various environmental pathways.
- Quantitative Data Analysis: Process large-scale environmental datasets, including satellite imagery and land-use maps, to ensure high-quality model inputs.
- Calibration & Validation: Perform a sensitivity analysis to calibrate models against observed discharge and water-balance components.
- Documentation: Maintain version-controlled codebases and document simulation workflows to ensure scientific reproducibility.
Qualification:
- For Research Associate: A PhD or Master’s degree in Hydrology, Water Resources Engineering, Environmental Science, or a related quantitative field.
- For Research Assistant: A Bachelor’s degree in a relevant engineering or science discipline with a strong quantitative background.
Experience: Applicants should have 0–2 years of experience in hydrological modelling or environmental data science. Previous experience developing or implementing models in a research or professional setting is an asset. Experience working with water-sector data or climate-impact projects will be considered an added advantage.
Knowledge: Applicants must demonstrate an understanding of physical hydrological processes and quantitative methods. Familiarity with Python and experience with geospatial data (e.g., NetCDF, Raster) is highly valued. An understanding of and interest in climate scenarios and their application in water resource assessment is essential. Knowledge of open-source software practices and hydrological practices is considered desirable.
Skills and Attributes: Applicants should be able to develop scripts for data processing and model automation. Strong analytical skills for troubleshooting simulation issues are required. A collaborative mindset for multidisciplinary research and an interest in open-source community tools are highly desirable.
Duration: The position is offered for an initial period of 1 year, with a competitive salary package.
Work Schedule: Standard 40 Hours per week
