Jobs:Job-00099

PhD Position in Urban Water Management

University Innsbruck, , Austria
Apply before: 6 February 2020

Posting: Position: PhD Scholarship Apply before: 6 February 2020

Job 1:

The Unit of Environmental Engineering (IUT) is part of the biggest Education and Research Institution in western Austria, which is the University Innsbruck. The IUT belongs to the Department of Infrastructure Engineering at the Faculty of Engineering Sciences.The IUT seeks to fill a position within field of complex network analysis in urban water management.

The water infrastructure is usually organized in pipe networks, supplying water in the city and draining rainfall runoff and wastewater out of it. Alike the city itself, the water networks in cities grew over decades resulting in organic and complex systems. In nature and many engineered systems, networks can be described based on graph theory. Alike, the growth process of water infrastructure over decades follows certain principles, while there are also spatial and functional interdependencies with other transport networks. This PhD project aims to investigate and describe this interlinked growth process of water infrastructure from a network perspective, analyse resilience across infrastructures, and to develop and assess growth scenarios with state of the art hydraulic modelling. See also: https://euraxess.ec.europa.eu/jobs/483631

Job 2:
The Unit of Environmental Engineering (IUT) is part of the biggest Education and Research Institution in western Austria, which is the University Innsbruck. The IUT belongs to the Department of Infrastructure Engineering at the Faculty of Engineering Sciences. The IUT seeks to fill a position within the basic research project “Functioning and Performance of nature-based Solutions”.

Our goal is to investigate existing nature-based solutions (green roof, green walls, swales etc.) in urban drainage under real life conditions in an alpine environment as well as develop novel approaches. Key performance indicators will be multipurpose, including urban flooding, hydraulic retention, pollution removal but also implications for temperature reduction in the environment. Further the benefits of linking the devices to smart systems will be explored as well as hybrid technical-nature based solutions. The investigation will be performed both experimental and by means of detailed numerical simulation studies. The successful candidate will develop and perform the experiments, potentially apply novel tools such as DTS (Distributed Temperature Sensing) and LoRaWAN (low-power radio network for data transmission), and develop novel numerical models for prediction of system behavior e.g. based on machine learning techniques or artificial intelligence. See also: https://euraxess.ec.europa.eu/jobs/483162

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Of interest for:

Hydrology Focus Research Group

Artificial Intelligence & Machine Learning Initiative