Water Systems Researcher
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NEWRI's research focuses on developing innovative solutions for water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience and digitalization.
Job DescriptionWe are seeking an ambitious Research Fellow to conduct high-quality research and propose cutting-edge solutions to challenging research problems related to AI modelling and control of water systems. This candidate will contribute to NEWRI's AI modelling and optimization research for sustainable and resilient operations of water systems.
Key Responsibilities:- Conduct high-quality research on machine learning modelling, soft sensing, and optimal control with application to various water systems (e.g., wastewater treatment, desalination, etc.)
- Prepare grant proposals and project reports
- Program using Python and test theoretical findings via computer simulations
- Test the methods via lab experiments
- Publish results in top-tier journals in related fields
- Assist in mentoring PhD students
- A PhD degree in control systems engineering, process control, machine learning or a related field
- Knowledge of state-of-the-art machine learning, control theory and methods, optimization, applied mathematics
- Expertise in AI-based modelling, state estimation, model of large-scale uncertain systems, networked control systems, and/or experience in applying machine learning in water systems
- Strong programming skills (Matlab, C++ or Python)
- An outstanding track record of research in the corresponding field demonstrated by an excellent publication record
- Advanced written and communication skills
This role offers the opportunity to be part of a renowned research institution and contribute to groundbreaking research in AI modelling and control of water systems. The successful candidate will have the chance to work with a talented team of researchers and engineers and publish their results in top-tier journals.
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