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Tuesday, June 8, 2010

Denmark: PhD scholarship in Uncertainty Aropagation in Adaptive Estimation and Forecasting of Sewer-WWTP System States

Overview

Are you interested in a research career and in developing tomorrow’s systems for modelling, forecasting and control in urban water management? Then here is an opportunity to do a PhD in an internationally recognised research environment.

Wider context of the project

The PhD scholarship is part of a large research project titled “Storm- and Wastewater Informatics” (SWI), which is funded by the Danish Council for Strategic Research starting in 2008 and lasting for 5 years (see http://swi.env.dtu.dk).

The overall aims of SWI are to close the current knowledge gaps within prediction and control of current and future conditions in integrated urban wastewater systems, and major outputs will be components of an intelligent real-time decision support system, following a drop of water from the cloud, throughout the sewer–wastewater treatment system and into the receiving waters. Several PhD students and postdocs will be employed under the SWI project on topics spanning from weather radar and numerical weather prediction models, to fusion of system-wide data and models and real time decision support and control.

The project partners include the Technical University of Denmark, Aalborg University, the Danish Meteorological Institute, three internationally oriented software and technology providers (DHI, Krüger and PH-Consult) and 4 of the largest Danish public utility companies (Avedøre Wastewater Services, Copenhagen Energy, Lynettefællesskabet and Århus municipality). Common case studies will make the project results operational in practice.


Scientific focus of the announced PhD position

The subject of this PhD position is to develop scenario based methods for integrated real time control of the sewage systems and wastewater treatment plants. The advantage of the scenario approach is that rather complicated criteria functions can be used in order to define the optimal control or action.

The project will focus on the use of stochastic differential equations as a part of the so-called grey box modelling techniques. The grey box approach enables procedures for an efficient way of combining information from physics with information embedded in data.

Initially models for rainfall events will be studied with the purpose of obtaining more reliable forecasts of the inflow to the wastewater treatment plant. The primary purpose is to develop methods and models which facilitate a simultaneous utilisation of data from local weather radar systems, classical tip measurements, and measurements of flow in more distant part of the sewer system.

A study of methods and models for describing the uncertainty of the forecasts will be an important part of the study. This part will establish a reliable framework for generating scenarios. Methods like quantile regression will be studied. The uncertainties as well as point forecasts will provide the basis for establishing a framework for scenario generation using on-line data.

Further information

The PhD scholarship is a joint project between DTU Informatics and several of the partners in the SWI project. Further information in general is available from Professor Henrik Madsen, DTU Informatics, e-mail: hm(a)imm.dtu.dk, Technical University of Denmark.

Candidate requirements

At the date of appointment candidates must hold an MSc degree in mathematical statistics, engineering sciences, natural sciences and/or mathematics, preferably with a specialization in one of the following fields: Mathematical statistics, environmental engineering, urban hydrology, numerical and stochastic modelling, and software engineering. Any model is a simplification of reality and therefore, the candidate must have a critical approach to modelling where formulation and testing of hypotheses are part of the natural workflow. The data used in the project are all time series data, and therefore the candidate must be able to demonstrate knowledge related to statistical methods for time series analysis. A knowledge corresponding the contents of the book: H. Madsen - Time Series Analysis - CRC Press (ISBN 978-1-4200-5967-0 is preferred but not a prerequisite.

All interested candidates irrespective of age, gender, race, religion or ethnic background are encouraged to apply. The scholarship is open to both Danish and international applicants.

Terms of employment

The successful candidate will be employed and enrolled as a PhD student at DTU Informatics, within the framework of the ITMAN research school. The salary and further terms of employment (3 years) are consistent with the general terms for PhD students at DTU. Annual salary starts at 45,000 EUR before tax, including pension/holiday pay.

The scholarships for the PhD degree are subject to academic approval, and the candidates will be enrolled in one of the general programs of DTU. Information about the general requirements for enrolment and the general planning of the PhD education at DTU may be found here. The starting date is negotiable but a quick start is preferred.

How to apply

Formal applications must be submitted electronically and must contain the following information collected in one printable file:

- A cover letter explaining the applicant’s motivation to apply for the research project (not more than one page)
- A curriculum vitae providing relevant academic, employment and personal details
Documentation of your M.Sc. or M.Eng. - degree
- Authorised academic transcripts and copies of master thesis work or publications
- Contact details for two reference persons that we may contact for further inquires
- Documentation of English language competence.
- Candidates will be evaluated based on their research potential and commitment and selected candidates will be invited for an interview.

Applications must be submitted in English and we must have your online application by Friday the 18th of June 2010. Please open the link in the grey bar below: "apply for this job online" ("søg stillingen online").

Further information concerning the application is available at the DTU Informatics PhD homepage, the DTU Informatics Graduate School ITMAN homepage or by contacting the responsible ITMAN Graduate School secretary:

Ulla Jensen
ulje@imm.dtu.dk
phone: + 45 45253359


Please kindly mention Scholarization.blogspot.com when applying for this scholarship


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Scholarship Team: Ph.D Scholar Krisstofferson Joniel Scholarship Adviser, PhD Scholar Chea Vitom Scholarship Adviser and Senior Lecturer, PhD Scholar Rebecca T. Dalisay Scholarship Adviser, Ph.D Student Jiao Wang Scholarship Coordinator, MSc Student Dennise Maricel Scholarship Coordinator