PhD Project in Model predictive control of urban systems
Ofertas de empleo de Profesores de universidades y de la enseñanza superior en HOVEDSTADEN (Dinamarca)
Clasificación del trabajo:Profesionales científicos e intelectuales : Profesionales de la enseñanza : Profesores de universidades y de la enseñanza superior : Profesores de universidades y de la enseñanza superior. Arbejde, der forudsætter viden på højeste niveau inden for pågældende område : Undervisning og pædagogisk arbejde : Undervisning og forskning ved universiteter og højere læreranstalter : Undervisning og forskning på universiteter og højere læreranstalter.
Descripción de la oferta de trabajo:
DTU Compute’s Sections for Dynamical systems, would like to invite applications for a 3-year PhD position starting as soon as possible. The candidate will be allocated to the projects: -Water Smart Cities (WSC). The focus in this project is strategies for real-time control of urban storm- and wastewater systems. See http://www.watersmartcities.ennv.org/. The project is led by prof. Karsten Arnbjerg-Nielsen, DTU Environment and is funded by the Innovation Fund Denmark and with participation of leading Danish industries and utilities within urban water management. -Centre for IT-Intelligent Energy Systems in cities (CITIES). The focus is in this project is on modelling and operation of urban energy systems. See http://smart-cities-centre.org/. The project is led by prof. Henrik Madsen, DTU-Compute, and is funded by the Danish Strategic Research Council and with participation of leading Danish industries and utilities within power management. but is also expected to collaborate with other projects such as uGriP, SmartNet and others within the area of modelling and smart operating urban systems. The collaboration is also including participants of the consortium participants especially DHI, that is co-financing the project. Water DTU, the Center for Water Activities at DTU (http://www.water.dtu.dk), which increases the quality and extent of research and education within the water field at DTU by utilizing synergies across the 12 participating departments. Both DTU Environment and DTU Compute are core members of Water DTU and all employees have the full benefit of the activities within the centre. Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour. DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia. DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation. Responsibilities and tasks There is a large potential for improving control of urban systems using system wide control that utilize model predictions of future loads and disturbances acting on the system. The objective is to develop MPC strategies that consider multiple operation criteria e.g. sewer overflows, pollutant loads and flooding. In the control design the system non-linearity and uncertainties have to be incorporated. Qualifications Candidates must have a master degree in engineering, or equivalent academic qualifications. The preferred candidate will have a background in one the following areas: •modelling and operation of urban drainage system •modelling and operation of urban energy systems •optimisation •time series analysis •control Furthermore, good command of the English language is essential. The scholarship will have co-supervisor from industry (DHI) and formal ties to industry and utility companies in Denmark. Main supervisor is Associate Professor Niels Kjølstad Poulsen, DTU Compute Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general plan
Servicio de empleo de origen:AMS, Servicios Públicos de Empleo, Dinamarca.