PhD in Energy and Environmental Engineering

Mälardalens Högskola / Administratörsjobb (offentlig verksamhet) / Västerås
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At Mälardalen University people meet who want to develop themselves and the future. Our 15 000 students read courses and study programmes in Business, Health, Engineering and Education. We conduct research within all areas of education and have internationally outstanding research in future energy and embedded systems. Our close cooperation with the private and public sectors enables us at MDH to help people feel better and the earth to last longer. Mälardalen University is located on both sides of Lake Mälaren with campuses in Eskilstuna and Västerås.

At the School of Business, Society and Engineering our students are studying to be for example Bachelors or Masters of Engineering, political scientists and business administrators. Here we have the research specialisations of Industrial Engineering and Management, and Future Energy. Our work takes place in cooperation with and in strategic agreements with companies, organisations and public authorities in the region.

Employment information
Employment: Temporary employment
Scope: Full time
Closing date for application: 2017-02-25
Campus location: Västeras
School: School of Business, Society and Engineering, (EST)

Position description
The work is part of the research activities conducted under the 9.5MSEK DYNOP project funded by the Knowledge Foundation. The DYNOP project brings together five partners, First Control Systems AB, Bestwood AB, Eskilstuna Strängnäs Energi och Miljö AB, ENA Energi AB, and Mälardalen University (MDH), in a joint effort to substantially enhance control and diagnostics in biomass conversion processes. In more detail, DYNOP focuses on the development of an integrated control system which will combine the measurement of the quality of the biomass brought into the conversion process, and multivariable control using a process model. An efficient diagnostics system will also reduce maintenance cost and time. If the models can be adapted in a controlled way and combine different Artificial Intelligence functions and process optimization adjustment for different conditions, this will result in significant benefits, such as the reduction of waste of chemicals, energy, and raw material due to poor control. This can also lead to the achievement of better treatment results, which will limit pollutant emissions to the environment.

The position involves working in close contact and collaboration with the aforementioned partner organizations. The successful candidate is therefore expected to interact effectively with all project stakeholders. The main part of the PhD student's working time is devoted to his/her own research studies. The PhD work will deal with the development of a framework for an integrated control system which will combine the measurement of the feedstock material properties in real-time with adaptive control for the process, applied to biomass-fired steam boilers. This will be done by both developing machine learning systems to train soft sensors for biomass quality measurement and by introducing simulation models describing the process behaviour in the controller, where adaptive controls are directly combined with the simulation models. The new algorithm in the controller will utilize both optimizing controls with Artificial Intelligence functionality and direct use of physical models for multi-variable production optimization. The information stemming out of all of these elements will be fed to the downstream decision support system, which in term will determine the best action(s) for operators and planners. The development of a diagnostics system will also help prevent damage to the boiler and risk of serious failure. The focus of the project will be on biomass-fired steam boilers, although the methods proposed could easily be applied in other biomass conversion processes for heat production, combined heat and power plants, the forest industry and waste management. The project may also include some experimental validation work related to near-infrared (NIR) spectroscopy within the facilities of the SPECTRA lab at the Future Energy Center.

The PhD student is expected to take initiatives, develop own ideas and work independently when needed, as well as take responsibility for the work. Furthermore, the project interacts closely with other parallel PhD projects and industrial partners. Thus the applicant needs to have high collaborative skills. The PhD student needs to be able to disseminate and communicate scientific results and knowledge orally as well as in written form within existing and new networks. This includes academia, industry and society at large. The research results will be presented at project meetings, conferences and in peer-reviewed scientific journals.

Qualifications
Employment as a doctoral student requires admittance to a graduate (research) program within a Swedish university. Reference is made to the Higher Education Ordinance Chapter 5 (SFS 1993: 100). To be accepted to the graduate (research) program in Energy and Environmental Engineering the student should have one of the following:

• Completed a Master's degree corresponding to at least 240 higher education credits (Swedish: civilingenjör) in Mechanical Engineering, Energy Engineering, Control Engineering or engineering physics.
• Completed a four-year science education with technical content equivalent to a Master's degree within the above subjects.

The position requires sound verbal and written communication skills in English.

Application
For full advertisement and to apply, please visit our website www.mdh.se/jobb.

We decline all contact with recruiters and salespersons of advertisements. We have made our strategic choices for this recruitment.

Varaktighet, arbetstid
Heltid/ Ej specificerat

Publiceringsdatum
2018-02-02

Ersättning
Månadslön.

Så ansöker du
Sista dag att ansöka är 2018-02-25
Klicka på denna länk för att göra din ansökan

Kontakt
Konstantinos Kyprianidis, Prof. and Research Track Leader konstantinos.kyprianidis@mdh.se +46 (0) 73 270 8897
Ioanna Aslanidou, DYNOP project leader ioanna.aslanidou@mdh.se +46 (0)73 662 0951
Michaël Le Duc, Facklig representant (SACO) 021-10 14 02
Susanne Meijer, Facklig representant (OFR) 021-10 14 89

Företag
Mälardalens högskola

Adress
Mälardalens högskola
Box 883
72123 Västerås

Kontorsadress
Box 883

Jobbnummer
3942116

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