Norwegian version
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PhD Fellowship in Model Predictive Control for Smart Buildings

OsloMet – Oslo Metropolitan University is Norway’s third largest university, with more than 20,000 students and 2,000 employees. OsloMet delivers knowledge to solve societal challenges, in close cooperation with the society and employers. OsloMet is an urban and diverse university with a clear international profile, and an attractive place to work and study with campuses in Oslo city centre and at Kjeller in the Municipality of Lillestrøm. Our location in the metropolitan area gives us good opportunities to understand and benefit from the city’s diverse population.

The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Viken.

The Department of Civil Engineering and Energy Technology offers bachelors and master’s degree programs in engineering, in addition to research and development activities. The department has approximately 60 staff members and 850 students.

The Department of Civil Engineering and Energy Technology is recruiting a candidate for a PhD fellowship connected to the research group SustainaBuilt (Sustainable Built Environment). Main supervisor will be assoc.prof. Habtamu Madessa, with co-supervisors assoc.prof. Arnab Chaudhuri and prof. Peter G. Schild. The position will be offered for a period of three years (100% position), or alternatively, four years of which 75% is research and 25% teaching-assistant duties. The successful applicant is expected to complete the PhD-program within this time frame. Read more about the research group here: https://uni.oslomet.no/sustainabuilt/.

Buildings are responsible for a large portion of the global energy use, and greenhouse gas (GHG) emissions. The International Energy Agency describes this sector as an area of priority in relation to mitigating global warming and climate change. Advanced building automation can contribute to this goal by optimal control of building services, including heating, cooling, ventilation, and lighting, while ensuring occupant health and comfort. We must also secure a healthy and comfortable indoor environment. The PhD is about applying predictive automation for optimal climatization (incl. individual thermal comfort) in buildings with local renewable energy production. The PhD’s main objective is to develop Model Predictive Control (MPC) solutions for building automation. MPC is a method to achieve optimal operation by model-based estimation of future states of the building, based on sensor data and occupant requirements. Moreover, MPC enables buildings to operate optimally as distributed renewable energy resources. 

The PhD fellow will be connected to the new collaborative project Annex 87 “Energy and Indoor Environmental Quality Performance of Personalized Environmental Control Systems”, part of the International Energy Agency’s Energy in Buildings and Community Programme (IEA-EBC). Annex 87 aims to apply personalized environmental control systems (PECS) to satisfy individual needs for air quality and thermal comfort, in the best possible way with respect to energy use, GHG-emissions, operational reliability, and life cycle costs.

Your duties and responsibilities will be 

Qualification requirements 

Admission to doctoral program at the TKD faculty within three months of employment is a condition for taking up the position. Admission to the programme requires master’s degree with grade B or higher, and a bachelor, and grade C or higher at bachelor-level. Full details on admission criteria is given here: https://www.oslomet.no/en/study/tkd/engineering-science-phd. The final plan for research work must be approved and agreed upon no later than 3 months after joining the department. Applicants who already hold a PhD, in the same or related field, cannot apply.

The appointment committee emphasizes on the following skills and ability

It is important for OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active efforts to further develop as an inclusive workplace and to adapt the workplace if required.

We offer you

Expert committee and documentation requirements 

We use an electronic recruitment system. To be considered for the position by the expert assessment committee, you must upload the following documents together with your application before the deadline:

If you wish to apply for this position, please use our electronic recruitment system, and all documents must be uploaded for your application to be considered. The documents must be in a Scandinavian language or English. Any translations must be authorized by government. Originals must be presented if you are invited for an interview. OsloMet performs document inspections in order to give you as a candidate a proper evaluation and ensure fair competition. Please note that incomplete applications will not be considered.

Other information

If you would like more information about the position, you can contact:

Salary is set in accordance with the Norwegian State Salary Scale, position code 1017 PhD Fellowship, pay grade 54, NOK 501 200. By law 2% of the salary is deducted as to the Norwegian State Pension Fund.

Deadline for applications: 19.10.2022Reference number: 22/05783

 

OsloMet is a Charter & Code certified institution by the EU Commisson holding the right to use the logo HR Excellence in Research (HRS4R). OsloMet is a member of the EURAXESS network supporting a positive work environment for researchers in motion. OsloMet has signed The Declaration on Research Assessment (DORA). DORA recognizes the need to improve the ways in which the outputs of scholarly research are evaluated.