The candidates must have a PhD in Environmental Science/Hydrology/Water Resources Engineering or a closely related discipline from a renowned university. Research experience in the below areas is an added advantage,
- Groundwater management, hydro-environmental impact assessment, or related fields.
- Assessment of groundwater salinity, agricultural water use, or climate change impacts on water resources.
- Developing and applying life cycle assessment (LCA) models and deep-learning methodologies for environmental research.
- Experience in applying machine learning (ML) techniques to enhance hydrological and environmental modeling is an added advantage.
Preferable research experience and skills
Technical Expertise:
1. Knowledge of experimental hydrological approaches in community hydrology and water resource management.
2. Strong background in hydro-environmental modelling, including the use of digital tools for irrigation management.
3. Experience with the development and application of sustainability indexes (Water Stress Index, Watershed Sustainability Index, Sustainable Water Management Index, Agriculture Indices).
Software Proficiency:
1. Expertise in GIS, remote sensing, and environmental modelling software.
2. Programming languages such as Python, R, or MATLAB for data analysis and model development.
Analytical Skills and Project Management:
1. Strong analytical and problem-solving skills, with the ability to identify and address key research challenges.
2. Ability to synthesize complex data and information into actionable insights and recommendations.
3. Ability to manage and execute multiple research tasks concurrently, with a focus on delivering high-quality time-driven outputs.
4. Experience in interdisciplinary collaboration and effective communication of research findings.
Application procedure
The application should be in English. The application should be sent electronically and attached as PDF files, as shown below. The maximum size for each file is 10 MB.
1. CV:(Please name the document as: CV, Surname, Job Ref. number) including:
- A complete list of publications
- Previous research experiences
- Two references who can be approached to write letters of reference/recommendation
2. Cover letter: (Please name the document as Personal letter, Family name, Job Ref. number) 1-3 pages outlining:
- Introduction and your previous research experience, with highlights of your significant research findings
- Relate your qualifications, experience, and skills to the job requirements
- Describe your future goals and future research focus