Process monitoring, control, and machine learning in combination with on-line sensors provide new opportunities for optimizing current and developing new water and wastewater treatment processes. Urban water management is changing with an increased demand for recovery of valuable resources, increasing process performance and reliability, and reducing energy input and costs. Developing new processes and optimizing existing systems is relevant for existing centralized systems as well as onsite treatment and recovery systems.
This position complements existing strength in process engineering. We seek candidates who study sensor application, data mining, machine learning, information processing and management, process monitoring, control, and automation for water and wastewater treatment processes. We expect
- Excellent knowledge and research portfolio in online monitoring, control, automation, and operation of treatment processes
- Experience in process engineering (biological, chemical, and/or physical process) with application in the treatment of water, wastewater, urine, fecal sludge, greywater, etc.
- Experience in mathematical modeling of complex biological, chemical, and/or physical processes
- PhD in environmental engineering, chemical engineering, civil engineering, or related engineering fields
- Interest in working in multidisciplinary teams and developing links with the engineering practice in Switzerland and internationally, as well as establishing cooperative relationships with experts in sensor design, machine learning, statistics, and systems analysis at Eawag
Eawag offersa unique research and working environment and is committed to promoting equal opportunities for women and men and to support the compatibility of family and work. Applications from women are especially welcome. For more information about Eawag and our work conditions please consult www.eawag.ch and www.eawag.ch/en/aboutus/working/employment. A group leader at Eawag is expected to build up an externally funded research group. There are no formal teaching requirements.
Applications must be submitted by 15 January 2021 and should include a cover letter, a research statement (2-5 pages) describing your interests and their relevance to this position and – if applicable – potential for stakeholder engagement, a CV as well as a list of publications and the names and contact information for three references.
For further information, please contact Prof. Dr Eberhard Morgenroth.
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.