PhD Scholarship within Digital Twin for Smart Building in Positive Energy District
5 days left
- Full Time
About the position
PhD scholarship within Digital Twin for Smart Buildings in Positive Energy District (PEDs): Digital Twin as a service (aaS) towards Climate-Neutral Smart Cities for people
If you believe that your skills fit the job requirement (see below), you are welcomed to apply and hopefully join our research group.
The main objective of this PhD position is to develop a prototype of physical-based digital twins for smart buildings in Positive Energy Districts (PEDs), where the buildings interact with their occupants and energy supply and storage systems. The prototype will be developed in a generic way to provide the digital twin of smart buildings in PEDs as a service (aaS) for the real state as a promising service towards energy-neutral smart cities (by and for people).
This PhD position is a part of NTNUs initiative to establish a Center for Green Shift in the Built Environment hosted by the department of civil and environmental engineering. The Center’s vision is to create value in the society through Digitalisation. This center will utilize and develop expertise, methods, tools and strategies for a sustainable built environment. The research and innovation activities of the center will be directed at a Green Shift and a Digital Future.”
You will report to main supervisor
Duties of the position
- The PhD candidate will build dynamic virtual representations (a prototype of Digital Twin) for a real smart building using real-time data to optimize the building performance where the building is in a positive energy district (PED).
- The PhD candidate will contribute to the further development of simulation and visualization solutions such as Digital Twin as a service (aaS) towards Climate-Neutral Smart Cities for and by people.
The PhD candidate is expected to contribute to increasing knowledge on how to best combine and 3D visualize large-scale data from various sources in relation to different user needs and profiles. In this context, the PhD candidate is expected to answer the 4 research questions, below:
1.How can the digital twin continuously be calibrated for supporting real-time optimization?
2.How can the cloud-based reference architecture in smart cities facilitate the data exchange between the digital twin of smart buildings and the variant sources of data in PEDs including smart meters and IoT systems?
3.How can the interoperability issues between GIS, BIM, IoT, and building performance simulation (BPS) tools be systematically detected and solved for automating the process of creating valid digital twins for buildings in PEDs?
4.How can the business intelligent (BI) be used to facilitate possible stakeholders to interact smoothly with the developed digital twin throughout the value chain of buildings in EPDs
Required selection criteria
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in civil, architecture, electric, mechanical, data science engineering or equivalent education with a grade of B or better in terms of NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.
The required selection criteria include:
- Knowledge of building information modelling (BIM)
- Knowledge of building performance simulation (BPS)
- Programming knowledge (e.g., Python, MATLAB, Java)
- Familiarity with building automation system (BAS)
- Familiarity with energy management systems (EMS)
- Familiarity with visual programming environment (e.g., Dynamo Studio)
- Familiarity with application programming interface (API)
- Familiarity with Machine learning
- Good oral and written ability in English
Applicants who do not master a Scandinavian language must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are: TOEFL: 600 (paper-based test), 92 (Internet-based test); IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted); CAE/CPE: grade B or A. In extraordinary circumstances, formal documentation of language skills can be relinquished. In such cases, the candidate’s language skills will be assessed in a personal interview.
Preferred selection criteria
- Familiarity with geographic information systems (GIS)
- Familiarity with human-machine interaction
- Familiarity with business intelligence (BI)
- Familiarity with data-driven and data-intensive technologies
- Knowledge of Internet of Things (IoTs)
- Knowledge of Norwegian or another Scandinavian language
- The candidate must be independent, have great work capacity and enthusiasm for research.
- The candidate is expected to contribute to a good research and work environment.
Personal qualities such as creativity, analytical, and structured reasoning, as well as the ability to carry out projects will be considered in the selection process. The applicant must be motivated to work closely with industry partners in the area of simulation and visualization
- Exciting and stimulating tasks in a strong international academic environment
- An open and inclusive work environment with dedicated colleagues
- avourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 482 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 3 years .
Appointment to a PhD position requires that you are admitted to the PhD programme in engineering within three months of employment, and that you participate in an organized PhD programme during the employment period.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
It is a prerequisite you can be present at and accessible to the institution daily.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
The application must include:
- CV, certificates and diplomas
- Research plan or project proposal
- Academic works - published or unpublished - that you would like to be considered in the assessment (up to 5 works)
- Name and address of three referees
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.
If you have any questions about the position, please contact Prof. Mohamed Hamdy, telephone +4792052876, email Mohamed.Hamdy@ntnu.no. If you have any questions about the recruitment process, please contact Tone Måsøval Arntzen, e-mail: email@example.com
Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).
If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number SO IV-12/21 when applying.
Application deadline: 01.02.2021
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
Department of Civil and Environmental Engineering
We conduct research and teaching in civil and transportation engineering, technical planning, structural engineering, water and wastewater engineering and hydraulic engineering. Graduates from our programmes become employees – in both the public and private sectors – with a sustainability mindset combined with competitive knowledge and skills. The Department of Civil and Environmental Engineering is one of eight departments in the Faculty of Engineering.
Deadline 1st February 2021
Employer NTNU - Norwegian University of Science and Technology
Place of service Department of Civil and Environmental Engineering