Description
The department of Aquatic Sciences and Assessment, SLU Uppsala is recruiting a PhD student in the subject area of water chemistry in cooperation with Chalmers University of Technology, Göteborg. The PhD student will participate in a research project that aims at optimizing drinking water treatment processes based on the use of optical and other sensors. Increased production of drinking water and larger climate driven variations in raw water quality impose high demands on process control in the near future. The use of sensors may be one of the necessary measures to counteract risks of degraded raw water quality, in particular rising concentrations of organic matter. The aim of the project is to optimize process variables that drive the removal of organic carbon during drinking water production and to supply tools for an improved control of treatment performance of membranes, slow sand filter and granulated active carbon filter (GAC) based on quality checked sensor data. During the course of the project raw data will be characterized, then methods and algorithms will be developed for optimizing identification of erroneous data, quality control and practical use of temporarily highly resolved sensor data. The project is financed by a number of large drinking water producers around Sweden. Developments will thus be made in close cooperation with local control engineers. This project is a unique possibility to achieve a good synthesis of todays drinking water treatment techniques in Nordic countries and to personally contribute to developing them for the future. Research on the use of, optimization and application of different sensors during drinking water treatment. Development of mathematical tools for quality control of raw data and successful coupling of sensor data to process variables allowing an automatized process control.
Qualifications
Practical lab experience with analytical chemistry, theoretical or practical knowledge about drinking water treatment and mathematical skills of data treatment of large data sets (Matlab, R. SAS or alike). Documented knowledge about water chemistry, analytical chemistry, water treatment and time series analysis is required. Experience with drinking water treatment and characterization of organic matter is considered a merit. University degree within a relevant subject area such as environmental and water engineering, chemistry, environmental science or comparable.
For more detail and application visit the original source
For similar posts, visit Scholarships-opportunities.blogspot.com
No comments:
Post a Comment