PhD Fellowship - ZEN Centre
The Norwegian University of Science and Technology (NTNU) in Trondheim represents academic eminence in technology and the natural sciences as well as in other academic disciplines ranging from the social sciences, the arts, medicine, teacher education, architecture to fine art. Cross-disciplinary cooperation results in innovative breakthroughs and creative solutions with far-reaching social and economic impact.
The Research Centre on Zero Emission Neighbourhoods in Smart Cities – ZEN Centre
PhD and postdoctoral researchers in the area of zero emission buildings and neighbourhoods in smart cities
Information about the centre
The Research Centre on Zero Energy Neighbourhoods in Smart Cities (ZEN Centre) is a Centre for Environment-friendly Energy Research (FME) funded by the Research Council of Norway and the consortium partners. The main objective of the ZEN Centre is to develop knowledge, competitive products and solutions that will lead to realization of sustainable neighbourhoods that have zero emissions of greenhouse gases related to their production, operation and transformation. The FME status enables long-term research in close collaboration with trade and industry, as well as other research partners. The composition of the consortium is vital in order to enable the transition to a low carbon society by developing sustainable neighbourhoods with zero greenhouse gas emissions. The research is carried out in six work packages (WPs): WP1 Analytical framework for design and planning of zero emission neighbourhoods, WP2 Policy measures, innovation and business models, WP3 Responsive and energy efficient buildings, WP4 Energy flexible neighbourhoods, WP5 Local energy system optimization within a larger system, and WP6 Pilot projects and living labs. The centre is a follow-up of the Research Centre on Zero Emission Buildings, www.zeb.no.
The Research Centre is organized as a joint NTNU/SINTEF unit, hosted by the Faculty of Architecture and Design, Norwegian University of Science and Technology – NTNU. The Centre encompasses the value chain of market and public players needed in order to realize zero emission neighbourhoods, including municipalities, governmental organizations, Norwegian construction business and energy companies. This is the second announcement for PhD and postdoctoral positions in the centre. The positions are located in various departments at NTNU ensuring the cross-disciplinary research needed in order to reach the aim of the centre.
We are looking for PhD and postdoctoral researchers related to:
- Urban data management (Postdoctoral Fellowship)
- Optimal Integrated Building Designs for Resilient Zero Emission Neighbourhoods (PhD Fellowship)
- Thermal comfort enabling thermal flexibility of buildings (PhD Fellowship)
- Building energy performance assessment through in-situ measurement (PhD Fellowship)
- CO2 emission and correlation to building form and spatial morphology at neighbourhood scale (PhD Fellowship)
Mark the application clearly with what position (1-5) and what type of position you are applying for (PhD Fellowship or Post Doc).
1. Urban data management (Postdoctoral Fellowship)
Objective: In connection to achieving a zero emission neighbourhood in a smart city, large amounts of data have to be produced, collected, stored, aggregated, distributed, and analysed to support informed decisions towards reducing emissions by politicians, planners, developers, communities, and citizens, and to operate systems enabling smart district management.
The position link in particular to the design and evaluation of a framework in which all relevant meter/sensor data (power, heat, water, etc.) is collected and accompanied by comfort and climate data in a way that supports the transparency and security for appropriate use of the data for human and automatic decision making. These bottom-up local measurements and forecasts will be aligned with top-down data from national statistical databases, energy suppliers and city databases. Comfort-related data might be online measurements of temperature, humidity, CO2, and noise. Climate data might be local measurements of ambient air temperature, wind speed, wind direction, solar (shortwave) radiation, longwave radiation, etc. The objective of this Postdoc is to develop techniques supporting a data management plan and monitoring system which automatically collects the KPI (key performance indicator) data, structures it for ZEN-scope emissions by using open standards, and determines the extent to which monitoring and evaluation procedures can be automated with sufficient data quality levels. A data management plan must include the presumptions done in the treatment of data in a data movement effect plan, and have results structured and visualized in a way fitting the needs of the users acting as part of a virtual city model/urban architecture model.
- What are the relevant data sources in ZEN? (in building, in district, external data)
- What is the best way of structure to ensure fulfilment of a ZEN data management plan?
- What are main data quality issues in ZEN?
- What is a suitable data flow and data processing architecture?
Requirements: The candidate must have a PhD in information systems, software engineering, databases or similar topics. The candidate should have experience in the areas of data management and enterprise architecture. Further the candidate should have excellent communication skills - oral and written – preferably both in Norwegian and English. Candidates should be able to work in an inter-disciplinary setting. Candidates familiar with the domain of ZEN would be preferred.
The applicant must enclose a research statement (up to 2000 words) describing his/her view of the main research challenges in the area of the position
Other information: This is a position with work place at NTNU’s Department of Computer Science at the Faculty of Information Technology and Electrical Engineering. The duration is 2.5 years. For more information, contact Professor John Krogstie.
2. Optimal Integrated Building Designs for Resilient Zero Emission Neighbourhoods (PhD Fellowship)
Objective: The objective of this project is to develop a modelling and simulation methodology for optimizing integrated building systems in the context of zero emission neighbourhoods (ZENs). The methodology should consider possible techno-economic uncertainties and investment opportunities. The aim is to provide optimal (i.e., cost effective and highly comfortable) integrated building designs (i.e., bundles of building-envelope, electromechanical-systems, and on-site renewable options) with sufficient resilience to preserve ZENs.
- What are possible design options (i.e., new technologies) to achieve optimal and resilient buildings in the context of ZENs?
- What are the main sources of uncertainty (i.e., micro-climate, occupant behaviour, and techno-economic uncertainties) the integrated building designs face to achieve and preserve ZENs?
- How can a design team (i.e., architects and engineers) accurately identify (i.e., find with minimum time and effort) the optimal integrated building designs amidst the abundance of possible options?
- How can the decision maker quantify and benchmark the resilience level of the obtained optimal integrated building designs?
- How can the opportunity cost of investing in flexible integrated building systems (i.e., the loss of investing in alternatives like centralized systems) be considered in the decision-making process?
- How can the optimal decision be convincingly demonstrated for key stakeholders of ZENs?
Requirements: The applicant must hold a Masters level degree in Engineering, Architecture, or Computer Science with a specialization of direct relevance to building and energy system design. Applicants with research and or project experience in building performance simulation, cost analysis, and automatic optimization are preferred. Experience in using architectural tools (e.g., Revit and SketchUp), building-system simulation software (e.g., Simcity, IDA-ICE, EnergyPlus, OpenStudio, Dymola, HOMER, SAM, etc), interactive data visualization packages (e.g., Microsoft Power BI or Tableau) and programming environments (e.g., MATLAB) are highly appreciated. High levels of oral and written English skills are required.
Other information: This is a position with work place at Department of Civil and Environmental Engineering, NTNU. The duration is 4 years, where 1 year is for teaching assistance work. For more information, contact Professor Mohamed Hamdy, https://www.ntnu.edu/employees/mohamed.hamdy.
3. Thermal comfort enabling thermal flexibility of buildings (PhD Fellowship)
Objective: Flexible energy demand is a key factor in responding to the integration of large amounts of renewable energy in the energy system. In order to modulate the energy required by a building, it is essential to comprehend to what extent the indoor environmental conditions can vary (naturally or artificially) without compromising occupants’ satisfaction. To achieve this purpose, the candidate will investigate how indoor thermal conditions can be modulated to provide the buildings' capability to match the grid needs while guarantying satisfactory thermal comfort conditions.
The doctoral research will benefit from a strong connection with the IEA EBC Annex 69. It will include the use of statistical analysis techniques to further and deepen the research of the IEA EBC Annex 69’s database. The study will enable the confirmation or refinement of previously identified thermal comfort hypotheses (e.g., the adaptive comfort model) and possibly extract new findings. The outcome of the statistical analysis will support the development of smart control algorithms for buildings, which is carried out in junction with the WP4 of the FME-ZEN center. Finally, the new findings and the smart control algorithms will be tested experimentally in the ZEB Test Cell Facility to ascertain their effects on energy use and thermal comfort.
- To what extent do people respond to sub-daily thermal variations of the indoor environment?
- How can occupants’ acceptance of the thermal environmental conditions be used to provide thermal flexibility to a building?
- To what level can the energy demand for space heating and cooling be modulated without compromising occupants’ satisfaction?
- Will the use of smart control algorithms increase occupant’s satisfaction?
Requirements: The applicant must hold a Masters level degree in engineering, physics, mathematics, statistics or related fields with a specialization directly relevant to building physics or HVAC in buildings. Applicants holding research or project experience in data mining of large database and/or in thermal comfort studies are preferred. Experience in using statistical packages (e.g., R, SPSS, etc.) and programming environments (e.g., MATLAB), and in collecting experimental and field monitoring data are welcomed. High levels of oral and written English skills are required.
Other information: The position is at Department of Civil and Environmental Engineering, NTNU. The duration is 3 years. For further information, contact Professor Salvatore Carlucci https://www.ntnu.no/ansatte/salvatore.carlucci.
4. Building energy performance assessment through in-situ measurement (PhD Fellowship)
Objective: The objective of this PhD is to develop, test and apply robust monitoring methods for energy performance assessment of real building under operation, aimed at assessing the different contributions to the building energy performance (fabric, systems, and user). This activity includes the design and test of both experimental/monitoring equipment and data analysis methodologies. The research shall critically analyse the balance between minimum measurement points/devices and quality of information that can be retrieved, as well as investigate innovative data processing techniques/analysis that enable the acquisition of indirect information, with the aim of minimizing the complexity of the monitoring plant. In parallel, the research shall offer a critical overview of experimental monitoring techniques in search for the optimal compromise between measurement accuracy, monitoring system cost, and data quality. The research will benefit from the ZEB Living Laboratory at NTNU, which will serve as a test bed and case study for the activity in this project, and will be integrated in the newly launched IEA-ECB annex 71 project on in-situ monitoring. Data from the ZEB Centre demonstration buildings will also be evaluated. The research outcomes will be used to develop the monitoring systems and methods at building scale to be adopted in the seven ZEN Living Lab.
- How can building energy performance be measured during building’s operation? What are the procedures and equipment necessary to achieve a suitable assessment of the building performance?
- How it is possible to differentiate the performance of different components of the building (fabric, systems, and users) through in-situ measurements?
- What is the trade-off between quality, cost, and complexity of a monitoring system for real buildings?
- How can progresses in ICT enable a robust, “inexpensive”, and quality building monitoring?
- How can monitoring data be used for advance management of buildings and fault detection?
- How can monitoring data be displayed/communicated, and can this have an impact on the way users behave in the building?
Requirements: It is required that the applicant holds a master level degree in engineering, architecture, physics, or similar fields, with a specialization directly relevant to energy and environmental performance of buildings. Preference will be given to applicants who already have research or professional experience in experimental monitoring of buildings or building components. Experience in using statistical packages (e.g., R, SPSS, etc.) and programming environments (e.g., MATLAB), as well as experience with sensing technology, data acquisitions and data management, will be favourably considered. High levels of oral and written English skills are required, and good skill in a Scandinavian language is preferred.
Other information: This is a position with work place at the Energy and Environment Group, Department of Architecture and Technology, NTNU. The duration of the PhD-fellowship is 3 years, with the possibility for one additional year for faculty/teaching assistance work. For more information, contact Associate Professor Francesco Goia or Professor Arild Gustavsen (http://www.ntnu.edu/employees/francesco.goia or http://www.ntnu.edu/employees/arild.gustavsen).
5. CO2 emission and correlation to building form and spatial morphology at neighbourhood scale (PhD-fellowship)
Objective: The layout of the built environment at neighbourhood scale influences carbon emission in multiple ways ranging from construction of buildings and infrastructure to emissions from daily life and work in the buildings and to emissions depending on kinds and amounts of commuting of people living in, working in or visiting the buildings and the area. Whereas most of these issues are interdependent, they are often analyzed separately in research. A main objective of this project is to examine these issues as a set of interrelated parameters that all relate to explicit built form.
- How does carbon emissions relate to forms and layouts of buildings and outdoor space at neighbourhood scale?
- More explicitly, and based on empirical studies as well as analyses of projects for neighbourhood developments, how do different forms and layouts of buildings and neighbourhoods perform regarding carbon emissions and which ones are likely most useful for meeting future challenges regarding emissions?
- Can a focus on emissions provide interesting new kinds of layouts while also cater for the wide range of other conditions required for neighbourhoods to be attractive and sustainable in a broad sense?
Requirements: It is required that the applicant holds a master level degree in engineering, planning, architecture or similar. Specialization relevant to environmental assessment of built form on larger scale than single buildings is required. Preference will be given to applicants documenting research experience showing high skills in relevant GIS-based analyses of building morphology / spatial morphology / urban form. Applicants with a research plan including visiting stay(s) at relevant research institutions will be preferred. High levels of oral and written English skills are required, and good skill in a Scandinavian language is preferred.
Other information: This is a position with work place at Department of Architecture and Technology, NTNU. The duration of the PhD-fellowship is 3 years, with the possibility for one additional year for faculty/teaching assistance work. For more information, contact Professor Bendik Manum or Professor Inger Andresen (http://www.ntnu.edu/employees/bendik.manum or http://www.ntnu.edu/employees/inger.andresen).
The applicants for the PhD positions must have a relevant Master’s degree (or equivalent). The applicants for postdoctoral positions must have a PhD at the time of application. Relevant education and experience in the chosen topic is mandatory.
Applicants must submit i) certificates, ii) CV, iii) a list of their publications, and iv) a project description (3 pages incl. references) indicating how they suggest to do the research work and how this is relevant to their own background and the above research objectives and questions.
Candidates from universities outside Norway are kindly requested to send a Diploma Supplement or a similar document, which describes in detail the study and grade system and the rights for further studies associated with the obtained degree: http://ec.europa.eu/education/lifelong-learning-policy/ds_en.htm.
The positions require spoken and written fluency in the English language, or as stated for each individual position. Applicants from non-English-speaking countries outside Europe must document English skills by an approved test. The positions are situated in Trondheim and applicants are expected to live there for the duration of the projects.
Mark the application clearly with what position (1-5) and what type of position you are applying for (PhD Fellowship or Post Doc). For questions about the ZEN Centre or the positions contact the respective supervisors by email or phone or Centre Director Professor Arild Gustavsen (http://www.ntnu.edu/employees/arild.gustavsen).
Terms of Employment
The position as PhD candidate is registered as code 1017 and normally remunerated at wage level 50 at NOK 432 300 per year before tax. There will be a 2% contribution to the Norwegian Pension Fund from the gross salary. As a member of the Norwegian Public Service Pension Fund you are offered:
- A good pension for life
- A favourable housing loan interest
- Good insurance schemes
The appointments will be made in accordance with current regulations with supplementary rules in force giving guidelines for scholarship appointments in universities and university colleges.
The position adheres to the Norwegian Government’s policy of balanced ethnicity, age and gender.
According to the new Freedom of Information Act, information concerning the applicant may be made public even if the applicant has requested not to be included in the list of applicants
Applications with Curriculum Vitae, certified copies of transcript and reference letters should be submitted electronically through this page.
Mark the application with correct reference number AD-07-17
Mark the application clearly with what position (1-5) and what type of position you are applying for (PhD Fellowship or Post Doc)
The application deadline is April 7, 2017
About this job
- Deadline 4/7/2017
- Employer NTNU - Norwegian University of Science and Technology
- Municipality Trondheim
- Place of service The Research Centre on Zero Emission Neighbourhood
- Jobbnorge ID 135955
- Internal ID AD-07-17
- Scope Fulltime
- Duration Temporary
- Applications on this job are registered in an electronic form on jobbnorge.no
- You must complete: Academic CV
- Please refer to where you first saw this job advertised!