PhD Project in Intelligent Integration of Deep Urban Tunnel Systems in Energy Systems

DTU Compute
tirsdag 10 okt 17

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Frist 27. oktober 2017
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DTU Compute’s Section for Dynamical Systems, would like to invite applications for a 3-year PhD position starting December 1st, 2017. The project is financed by DTU and is part of the joint degree PhD agreement between DTU and Nanyang Technical University (NTU) in Singapore.

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.  

Project Description
Large tunnel systems are becoming wide spread around the world for transporting used water to treatment plants. The pumping and treatment of this water consumes large amounts of electricity and are therefore of interest when investigating means to balance smart grids. The central case in this project will be the Deep Tunnel Sewerage System (DTSS) in Singapore including the large pumping stations at the water reclamation plants (WRPs) and potentially also the treatment.

The PhD project will have focus on development of a continuous time state space model for the combined tunnel system, the pumping stations and to some extend the WRP. This may include stochastic partial differential equation models. The objective for this part is to provide a probabilistic forecast model that can be used for stochastic optimization. Stochastic optimization is the focus of the related PhD project at NTU. The system should be designed for online real-time control of the DTSS and it should document the added value from modelling the system instead of just measuring the state. The approach will start with a simple linear model that will be used for benchmarking non-linear models that better describe the physics of the system. Typically, continuous time state space model are optimized based on short term predictions but in the present case the performance on longer horizons will also be assessed as that is what is needed for the stochastic optimization.  

Requirements
Candidates must have a master degree in applied mathematics, or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document experience with 

  • continuous time state space models
  • stochastic differential equations
  • probabilistic forecasting
  • programming
Furthermore, excellent collaboration skills and good command of the English language is essential. Mastering the Danish language will be considered an advantage.

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 planning of the scholarship studies, please see the DTU PhD Guide.   

Assessment
The assessment of the applicants will be made by Lasse Engbo Christiansen, Henrik Madsen, and Dusit Niyato.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and an academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is 3 years.

The employment periode will be split with 2 years at DTU and 1 year at NTU in Singapore.

Further Information
Further information concerning the project can be obtained from Lasse Engbo Christiansen, laec@dtu.dk

Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3377.

Application
Applications must be submitted in English as one single PDF, and we must have your online application by October 27th, 2017. Please open the link in the red bar in the top of the page: "apply online" (“ansøg online”).

Applications must include: 
  • A letter motivating the application (cover letter)
  • Curriculum vitae
  • Documentation of a relevant completed M.Sc. or M.Eng.-degree
  • Course and grade list of bachelor and master degrees
  • Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)
        Candidates may apply prior to ob­tai­ning their master's degree, but cannot begin before having received it.

        All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

        DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

        DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 11,000 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.