The primary aim of the research is to advance a novel solution for clogging control in constructed wetlands and similar low energy wastewater treatment systems, thereby leading to a decrease in their footprint. The core of the solution is to utilize redox signals (in real time) to monitor, assess and initiate an automatic response based on algorithms to regulate biomass growth and prevent clogging. Ultimately, this can contribute to energy efficient and sustainable wastewater treatment by enabling a more widespread adoption of low energy wastewater treatment systems. The project will comprise both experimental and numerical components.
The ideal candidate will have a strong background in Civil, Environmental, Electrical, Mechanical, and/or Computer Science/Engineering, good understanding of water/wastewater engineering, an apt for laboratory work and very good numerical skills.
For the Marie Sklodowska-Curie Individual Fellowship application, the potential candidate would be truly outstanding, with a distinguished curricula and proven ability to conduct and publish research; and experience in preparing research funding bids. Ideally, the candidate would have developed exemplary and cutting edge research in the field of water/wastewater engineering or any related field. The fellowship provides very competitive funding including generous travel support and family allowances. Interested candidates are encouraged to get in touch to discuss the fellowship and project idea further. For PhD/self-funded applicants, please send a detailed cv for an intial assessment.
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