The Norwegian University of Science and Technology (NTNU) invites applications for a Ph.D. position in indoor environment quality, ventilation and occupational health using experimental measurements and machine learning, at the Department of Energy and Process Engineering, Norway – April 2022
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Position: PhD Position
No. of Positions: 1
Research Field: Environmental Science, Machine learning, Public Health
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: 3 Years
Salary: 491.200 NOK/Year
Department of Energy and Process Engineering
Norwegian University of Science and Technology (NTNU), Norway
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- You must have a professionally relevant background in indoor environmental and public health.
- Your education must correspond to a five-year Norwegian degree programme, where 120 credits are obtained at master's level
- You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education.
- You must meet the requirements for admission to the faculty's doctoral program (link)
- Completion of a Norwegian master degree in mechanical engineering (HVAC), civil/building engineering, measurement technology, physics or other relevant fields,
Qualifications in at least two of the following:
- Strong background in indoor environmental and public health.
- Previous experience with data acquisition and monitoring systems for indoor environment.
- Strong background in experimental measurements of indoor environment parameters, ventilation and user survey.
- Previous experience with machine learning
• Fluent English and at least one Scandinavian language, both in spoken and in writing.
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant
Preferred selection criteria:
- Knowledge and first-hand experience with sensing, monitoring and control technology for built environment
- Competence in ventilation, indoor environment quality and building operation/automation
- Fluency in one or more software language for either general programming (MatLab, Python) or data acquisition (Labview)
- Knowledge of the relevant international standards concerning indoor environment quality and public health
Emphasis will be placed on personal qualities such as being an academic team player, creative, independent, analytical, self-driven, flexible and an engaged scholar.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability, in terms of the qualification requirements specified in the advertisement.
The position has reservation on financial support from the Norwegian research council (NRC) Innovasjonsprosjekt i offentlig sector program. The title of the project is DIGG-MIN-SKOLE project- Transformerende samspill mellom digitale teknologier og mennesker for bærekraftig inneklima i skoler (project number 331830).
For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.
The Department of Energy and Process Engineering (EPT) is seeking a PhD candidate for a research project within the area of long-term monitoring approach for indoor air quality and energy performance with different advanced building envelopes.
The position as a PhD candidate is a fixed - term position. For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree, which requires a high level of research-based competence. The starting date for the position is between April 2022 and June 2022. The position will be part of the Sustainable Energy Systems research group at EPT.
The Head of Department is Professor Terese Løvås. The PhD candidate will be supervised by a supervision team of NTNU and Norwegian Institute for Air Research NILU including supervisors: Prof. Guangyu Cao, Prof. Hans Martin Mathisen, Prof. Zhirong Yang, and Dr. Stefan Jetschny. The candidate is required to stay at least one year at NTNU in Trondheim and at least one year at NILU in Kjeller near Lillestrøm during this project period.
A good indoor environment in schools is important for the health and well-being of students and staff, and has a significant impact on students' learning outcomes. Good maintenance of the building and operation of the technical facilities is important to achieve a good indoor climate. In addition, it is crucial that employees and students should use the school buildings correctly and are involved in operation of school buildings regarding practical indoor climate. This requires that staff and students are aware of and have knowledge of how their behaviour affects indoor environment climate, as well as how the individual can contribute to maintaining a good indoor environment at school. Data from indoor environment sensors, combined with information on how employees and students experience indoor environment and related health problems, can provide new opportunities to both identify indoor environment problems, find the cause and identify the right measures, and to create new tools that engage and involve the users of the school buildings. Today's schools are equipped to a large extent with sensor systems for indoor environment, but there are no tools for collecting data on user experiences at real time. Data from integrated sensors are to a small extent available to the school. Information about connections between sensor data and user experiences is missing today. DIGG-MIN-SKOLE will take advantage of the large investments made in technical facilities in the schools by connecting data from these with data on user experiences. We will develop a tool for increased user involvement in indoor environment work at school, and increased knowledge in HSE and internal control work.
Duties of the position
The aim of this project is to develop machine learning algorithms which should be able to estimate the probability of well-being / health effect of indoor environment parameters and identify targeted mitigating measures at classroom level. The purpose of this PhD project is to develop an innovative approach to identify indoor environment problems and estimate health effect by using machine learning combining measurement data of indoor environment and user experience.
The PhD candidate will primarily work on research activities carried out as part of the research project DIGG-MIN-SCHOOL. For example, a non-exhaustive list of duties/tasks to be carried out in this PhD research covers:
- to collect user experience data and building system information at selected schools
- to develop a new approach to measure indoor environment parameters at room level with different sensors
- to develop machine learning algorithms which should be able to estimate the probability of well-being / health effect of indoor environment parameters
- to identify targeted mitigating measures at classroom level
- to utilize existing and new technology to contribute to increased knowledge, awareness, role understanding and action competence in indoor environment and HSE at school level
- to cooperate with other research groups at partner universities/research institutes
How to Apply?
Application Method: Online Application
Ref. No.: IV-75/22
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
- transcripts and diplomas for bachelor's and master's degrees. If you have not completed the master's degree, you must submit a confirmation that the master's thesis has been submitted.
- A copy of the master's thesis. If you recently have submitted your master's thesis, you can attach a draft of the thesis. Documentation of a completed master's degree must be presented before taking up the position.
- Research plan
- Name and contact information (including telephone and e-mail address of three referees.
- If you have publications or other relevant research work , please enclose them as well.
- Applicants invited for interview must include certified copies of transcripts and reference letters.
If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor's and master's education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.
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 and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
About the Department
Department of Energy and Process Engineering
We conduct research and teaching covering the entire energy chain, from resources to the end-user. We look at how energy is produced and used by humans and machines in a sustainable way with regard to health, climate change and the resource base. The Department of Energy and Process Engineering is one of eight departments in the Faculty of Engineering.
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable 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 491 200 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, https://www.ntnu.edu/studies/phiv/admission 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.
The position is subject to external funding.
It is a prerequisite you can be present at and accessible to the institution daily.
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. The national labour force must reflect the composition of the population to the greatest possible extent. NTNU aims to increase the proportion of women in its scientific posts. Women are encouraged to apply.
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.
The city of Lillestrøm lies only some commute-minutes away from the capital Oslo and the major airport OSL. In the past, it was called the “wild east” due to its liberal, inclusive and diverse (and maybe less formal) mindset of the people that lived here and prospered in the wood-industry. Now, the city and its economy and culture are steadily growing and flourishing. Lillestrøm is famous for football, hosts the larges exhibition center in Norway and is a gateway to recreational possibilities.
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.
Under the Freedom of 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.
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 IV-75/22 when applying.
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If you have any questions about the position, please contact Professor Guangyu Cao, email: [email protected]. If you have any questions about the recruitment process, please contact Ingrid Wiggen, e-mail: [email protected].
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