Postdoctoral Researcher on the Modelling of Micropollutant Removal from Wastewater by Activated Carbon
Vor 2 Tagen
Postdoctoral Researcher on the Modelling of Micropollutant Removal from Wastewater by Activated Carbon (m/f/d) The department of Process Engineering (Eng) invites applications for a
Job description: Granular activated carbon has proven to be an efficient technology to remove micropollutants from treated wastewater. To optimally design and operate these systems, an in-depth understanding of the elimination process is required. Mathematical modelling is an excellent way to formulate, foster, and test our process knowledge. Therefore, this project aims for novel approaches to model the complexity of the elimination process by combining machine-learning algorithms with first-principles modelling (hybrid modelling). The postdoctoral researcher will be part of an interdisciplinary expert team and work with existing long-term as well as high-resolution datasets of granular activated carbon filter operation. Thereby, the aims of the modelling efforts are threefold:
Development of a hybrid model for the prediction of effluent concentrations in granular activated carbon systems, accounting for physical and biological processes Leveraging the interplay of data-driven and mechanistic modelling techniques to gain new insights and advance our understanding of micropollutant removal processes Investigating applicability, opportunities and limitations of hybrid modelling in general
The successful and highly motivated candidate holds a PhD in environmental engineering, mechanical engineering, chemical engineering, environmental sciences, or similar. She/He must have modelling experience with mechanistic approaches, including programming skills (e.g., Python, Julia, Matlab, R). Furthermore, the candidate should be familiar with system modelling in general and with basic concepts of process engineering. Specific process knowledge in wastewater treatment, activated carbon systems as well as with micropollutant removal processes is highly desirable. Experience in data-driven modelling and in handling large datasets is beneficial. Furthermore, we appreciate excellent spoken/written English, good organizational skills, and an independent working style.
Applications will be reviewed on a rolling basis. All applications received by 31 October 2024 are guaranteed full consideration. Applications after this date will be considered until the position is filled. The application must include a cover letter explaining your motivation for the position, a CV, at least two letters of reference (including contact information for references), diplomas and transcripts. The start date will be defined by mutual agreement (early 2025) and the period of appointment is 24 months.
Eawag is a modern employer and offers an excellent interdisciplinary working environment where staff can contribute their strengths, experience and ways of thinking. We promote gender equality and are committed to staff diversity and inclusion. The compatibility of career and family is of central importance to us. For more information about Eawag and our work conditions please consult www.eawag.ch and www.eawag.ch/en/aboutus/working/employment.
For further information, please contact Dr. Andreas Frömelt.
We look forward to receiving your application. Please send it through this webpage, any other way of applying will not be considered. A click on the button below will take you directly to the application form.
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