Researcher in Energy and Environmental Engineering

At Mälardalen University people meet At Mälardalen University people meet who want to develop themselves and the future. We have 19 900 students reading courses and study programmes in Business and Economics, Health, Engineering and Education at our campuses in Eskilstuna and Västerås, or by distance. We conduct research within all fields of education and have internationally prominent research in Future Energy and Embedded Systems. Our close collaboration with the private and public sectors enable us at MDH to contribute towards the better health of people and towards a more sustainable planet. To strengthen Sweden as an education and research country, the Government is to upgrade Mälardalen University College to Mälardalen University from 1 January 2022.

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, 2 years
Scope: Full time
Closing date for application: 2021-06-15
Campus location: Västeras, Sweden
School: School of Business, Society and Engineering, (EST)

Position description
The School of Business, Society and Engineering is looking for a researcher in energy and environmental engineering. The position involves working within the research specialization Future Energy Center (FEC). The work is part of the research activities conducted in modelling and simulation, model-predictive control and robust optimization under the DISTRHEAT project at FEC. The focus on the project is on modeling hybridized energy systems (thermal) and developing advanced model predictive control approaches and robust optimization tools using adaptive physics-assisted and data-driven (AI/machine learning) approaches.

A large part of the work will be done at, or in close contact with, several partner organizations. The successful candidate is therefore expected to have a good engineering background with profound skills in AI and machine learning and related modelling tools and be able to interact effectively with partner research institutes, industry, colleagues and other stakeholders. The researcher is expected to take initiatives, develop own ideas and work independently, as well as take responsibility for the work. As the project interacts closely with other researchers and industrial partners, the applicant needs to have high collaborative skills.

The position is a temporary employment of 2 years.

Qualifications
The applicant is required to have a PhD degree in Mechanical Engineering, Energy Engineering, or Aerospace Engineering.

To qualify for the appointment as a researcher, you should have received a PhD and shown research and pedagogical skills within the subject area.

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

Assessment criteria
The school will select the most suitable candidate for this position following a combined evaluation of competence and skills, in addition to documented qualifications. Decisive importance is attached to personal suitability. Personal suitability will be judged in relation to the candidate’s capacity to effectively carry out the research work in this area, to integrate and contribute to a positive development of the research environment at MDH, as well as deliver value to our partner organizations.

In general terms the assessment criteria shall be based on the ability to cooperate as well as the ability and suitability otherwise required to fulfil the duties well.

MDH continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at MDH. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organization.

Further qualifications and merits
You are open-minded and interested in collaborating across borders within and outside MDH. Interest in and experience research as well as a post-doctoral or equivalent stay at an institution other than the one where your PhD was awarded are considered merits. Teamwork, leadership, organizational and entrepreneurial skills are advantages. 

Further merits for the position are:


• Strong experience in applications of AI / machine learning for developing digital twins and predictive models.
• Strong interest or experience in energy system modelling and simulation, at low and high-fidelity.
• Strong interest or experience on model predictive control and/or robust optimization.
• Experience and interest in interaction with various international partner organizations and professional management and cooperation, including representing MDH at project meetings abroad.
• Knowledge of, experience with, and/or interest in programming languages and modeling and analysis tools such as C++, Python, Fortran Open Modelica, and/or Matlab.
• Knowledge of, experience with, and interest in using and developing open-source software.
• Experience in teaching at the university level in energy engineering and/or mechanical engineering.
• Ability to collaborate with other researchers as well as work independently.
• Curious, goal-oriented, flexible, ambitious, and communicative personality.
• Interest in developing methods and bringing them into different application areas.

A substantial part of the research conducted at MDH is externally funded. Experience from coordinating applications for, and working in, externally-funded projects is therefore of high merit. You should have a good number of peer-reviewed articles within the stated areas published at leading conferences and highly-ranked international peer-reviewed journals.

Application
Application is made online. Make your application by clicking the "Apply" button below.

The applicant is responsible for ensuring that the application is complete in accordance with the advertisement and will reach the University no later than closing date for application.

We look forward to receiving your application.


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