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Data Scientist for Water Systems
2 weeks ago
As a globally recognized research and technology organization, we address national priorities through our diverse expertise in Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing our cross-cutting, interdisciplinary, and transformative capabilities, we drive innovation in water circularity and sustainability, next-generation solid waste solutions, circular economy resource recovery, climate resilience, and digitalization.
We are seeking an exceptional Data Scientist for Water Systems to contribute to our AI modeling and optimization research for sustainable and resilient operations of water systems. This role involves conducting high-quality research on machine learning modeling, soft sensing, and optimal control with application to various water systems. Key responsibilities include preparing grant proposals and project reports, programming using Python, testing theoretical findings via computer simulations, testing methods via lab experiments, publishing results in top-tier journals in related fields, and assisting in mentoring PhD students.