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DTU Compute’s section for Dynamical Systems would like to invite applications for a Postdoc position for one or two years with the possibility of extension, to focused on grey-box modelling in relation to two ongoing projects: The Innovation fond project MADE – Manufacturing Academy of Denmark and the CITIES project - Centre for IT-Intelligent Energy Systems in cities. The position is available as soon as possible.
Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time DTU Compute is an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, DTU Compute plays 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. DTU Compute interacts 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.
One goal for MADE is to bring research into action in industry. The research in MADE is divided into nine themes or work packages where this position will be associated with grey-box modelling within the sensors and quality control work package. Since there is a strong coupling between the needs of the companies and the research this also leads to knowledge sharing across the nine themes in MADE – striving to be the Platform for Future Production.
The CITIES project has a large focus on future smart energy systems. In future societies, with a high penetration of the fluctuating renewable energy, the consumption of energy must be synchronized with production of renewable energy. This calls for models and methods which can be used for forecasting, control and optimization. The models must be simple enough to run in real-time and constructed such that information in data can be used online for updating the model. At the same time the models must describe their precision, since some of the costs associated with wrong decisions might be highly asymmetrical. This calls for fully stochastic models formulated as stochastic differential equations or stochastic partial differential equations.
Responsibilities and tasks
The postdoctoral researcher is expected to work closely and constructively together with CITIES and MADE partners including other postdocs and PhD students within the same themes. One task will be related to control of a production process that isn’t directly observable and thus stochastic dynamic models are to be used to improve the knowledge of the state of the system in real time. S/he will take part in the actual modelling of the systems and in further development of the tools like CTSM-R which enables Continuous Time Stochastic Modelling with discrete time observations.
Finally, the postdoctoral researcher is expected to contribute to project management activities such as reporting and supervision.
The applicants should have:
- PhD degree (or equivalent) in statistics, control engineering, mathematics, or physics
- Experience in stochastic filtering
- Experience in programming (Preferably R and C)
- Background in mathematics and statistics, mathematical modelling and optimization theory
- Preferably experience with project management
- Leadership and team skills
In the assessment of the candidates consideration will be given to:
- scientific production and research potential
- the ability to promote and utilize research results
- the ability to communicate at all levels in English
- experience from international research environment
- the ability to contribute to development of the programs
- internal and external cooperation
- good problem solving skills
We offer a unique opportunity to be an active part of a large and challenging research, innovation and demonstration project that gathers together a number of academic and research institutions and industrial partners all over Europe, working on innovative solutions to integrate and exploit distributed energy resources.
Salary and terms of employment
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is for a one or two years with the possibility of extension.
The place of work will be at DTU Compute, Dynamical Systems section (Kgs. Lyngby, Denmark).
Further information may be obtained from Associate Professor Lasse Engbo Christiansen at firstname.lastname@example.org.
You can read more about DTU Compute on http://www.compute.dtu.dk/.
Please submit your online application no later than 28 February 2017. Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online," fill in the online application form, and attach all your materials in English in one PDF file. The file must include:
- Application (cover letter)
- Diploma (MSc/PhD)
- List of publications
Applications and enclosures received after the deadline will not be considered.
All interested candidates irrespective of age, gender, disability, race, 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 10,600 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.