4-year PhD positions at Center for Energy Informatics
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Odense M
SDU Center for Energy Informatics (CEI) is an interdisciplinary industry-oriented research and innovation center with an international outlook. The center focuses on development of innovative digital energy solutions that can facilitate the transition towards a sustainable energy system. The center is part of the Faculty of Engineering (TEK), University of Southern Denmark, and located at the main Campus in Odense, Denmark.
SDU Center for Energy Informatics invites applications for a number of 4+4 PhD positions. The starting date for the positions is September 1st, 2021.
Profile and requirements
To apply for the 4+4 PhD positions, it is required that the applicant is enrolled in one of the TEK master’s programmes within software engineering, energy informatics or computer science and has completed the first year at the time for enrollment.
We are looking for highly motivated and ambitious students with excellent knowledge of English (written and spoken), who can work well in a team as well as independently and quickly acquire knowledge in new topics.
The PhD projects
In the motivation letter, the applicant has to state the project number of the PhD project the applicant applies for. If the applicant wants to apply for more than one project, the applicant has to provide a prioritized list.
Project 1: Ecosystem-based evaluation of long-term energy system resiliency and sustainability
The PhD research aims to develop and implement an ecosystem-based evaluation framework that contributes to the design of resilient and sustainable energy systems. The evaluation framework will enable large-scale and long-term integration of Distributed Renewable Energy Resources and facilitate sector coupling (Power to Heating/Cooling/Gas) through multi-dimensional assessment and future scenario simulations. The PhD research is part of a new DANIDA project - Microgrid Technologies for Remote Indonesian Islands.
Project 2: Automatic Data Validation, Fault and Anomaly Detection and Diagnosis for Operation and Energy Performance Improvement
The PhD research will focus on the development of data validation, fault and anomaly detection, and diagnosis methods and software algorithms using the data which are obtained from wireless sensors, smart meters, etc. The methods enable a scalable and adjustable approach to diagnostics. The algorithms will be implemented on building energy systems and district heating networks from the center’s research and development projects in close collaboration with the industry.
Project 3: Component based energy system modeling for model predictive control
The PhD research aims to extend existing- and develop new-component based libraries for energy system modeling. The models will be both on individual component level as well as on whole system level. They will include both grey and black box models including use of machine learning techniques for model identification. The work will focus on the Dymola/Modelica modeling platform and the Functional Mockup Interface (FMI) which will be the line of model exchange into the multi-objective genetic algorithm based optimization platform also originating from CEI. The work will contribute into ongoing and new research projects in CEI where collaboration with external partners and demonstration of developed solutions in partner case studies will be of high importance.
Contact information
Further information is available by contacting Head of Centre, Professor Bo Nørregaard Jørgensen, [email protected].
If you experience technical problems you must contact [email protected].
Important information before applying
To be considered for the position it is required that the applicant is enrolled in a Master's programme (kandidatuddannelse) at the Faculty of Engineering, SDU, and has completed the first year at the time for enrollment.
The 4+4 PhD fellowship programme is divided into a 22 months grant period followed by an employment period. When the master's degree (kandidatuddannelse) is achieved and you as least have attained a grad of 10 (Danish scale), you will be employed at the same terms as a 3-year PhD fellowship. Read about Work and salary conditions.
The enrollment and employment will cease without further notice at the end of the 4-year period. A PhD fellow is not allowed to have any kind of sideline employment, while enrolled as PhD fellow at the faculty.
Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations.
The successful candidate will be enrolled at SDU in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order), read more here.
The assessment process
Read about the Assessment and selection process. Shortlisting may be used.
Application procedure
The Faculty expects applicants to read the Faculty information for prospective PhD students and the SDU information on How to apply before applying.
Application deadline is June 14th, 2021.
The applications must include the following - the required forms must be found at the Faculty website:
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
SDU Center for Energy Informatics invites applications for a number of 4+4 PhD positions. The starting date for the positions is September 1st, 2021.
Profile and requirements
To apply for the 4+4 PhD positions, it is required that the applicant is enrolled in one of the TEK master’s programmes within software engineering, energy informatics or computer science and has completed the first year at the time for enrollment.
We are looking for highly motivated and ambitious students with excellent knowledge of English (written and spoken), who can work well in a team as well as independently and quickly acquire knowledge in new topics.
The PhD projects
In the motivation letter, the applicant has to state the project number of the PhD project the applicant applies for. If the applicant wants to apply for more than one project, the applicant has to provide a prioritized list.
Project 1: Ecosystem-based evaluation of long-term energy system resiliency and sustainability
The PhD research aims to develop and implement an ecosystem-based evaluation framework that contributes to the design of resilient and sustainable energy systems. The evaluation framework will enable large-scale and long-term integration of Distributed Renewable Energy Resources and facilitate sector coupling (Power to Heating/Cooling/Gas) through multi-dimensional assessment and future scenario simulations. The PhD research is part of a new DANIDA project - Microgrid Technologies for Remote Indonesian Islands.
Project 2: Automatic Data Validation, Fault and Anomaly Detection and Diagnosis for Operation and Energy Performance Improvement
The PhD research will focus on the development of data validation, fault and anomaly detection, and diagnosis methods and software algorithms using the data which are obtained from wireless sensors, smart meters, etc. The methods enable a scalable and adjustable approach to diagnostics. The algorithms will be implemented on building energy systems and district heating networks from the center’s research and development projects in close collaboration with the industry.
Project 3: Component based energy system modeling for model predictive control
The PhD research aims to extend existing- and develop new-component based libraries for energy system modeling. The models will be both on individual component level as well as on whole system level. They will include both grey and black box models including use of machine learning techniques for model identification. The work will focus on the Dymola/Modelica modeling platform and the Functional Mockup Interface (FMI) which will be the line of model exchange into the multi-objective genetic algorithm based optimization platform also originating from CEI. The work will contribute into ongoing and new research projects in CEI where collaboration with external partners and demonstration of developed solutions in partner case studies will be of high importance.
Contact information
Further information is available by contacting Head of Centre, Professor Bo Nørregaard Jørgensen, [email protected].
If you experience technical problems you must contact [email protected].
Important information before applying
To be considered for the position it is required that the applicant is enrolled in a Master's programme (kandidatuddannelse) at the Faculty of Engineering, SDU, and has completed the first year at the time for enrollment.
The 4+4 PhD fellowship programme is divided into a 22 months grant period followed by an employment period. When the master's degree (kandidatuddannelse) is achieved and you as least have attained a grad of 10 (Danish scale), you will be employed at the same terms as a 3-year PhD fellowship. Read about Work and salary conditions.
The enrollment and employment will cease without further notice at the end of the 4-year period. A PhD fellow is not allowed to have any kind of sideline employment, while enrolled as PhD fellow at the faculty.
Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations.
The successful candidate will be enrolled at SDU in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order), read more here.
The assessment process
Read about the Assessment and selection process. Shortlisting may be used.
Application procedure
The Faculty expects applicants to read the Faculty information for prospective PhD students and the SDU information on How to apply before applying.
Application deadline is June 14th, 2021.
The applications must include the following - the required forms must be found at the Faculty website:
- Completed TEK PhD application form for 4+4 applicants. Find the form at the Faculty website.
- Motivation letter - remember to state the project number as mentioned above. Upload in the field called “Project description”.
- Detailed Curriculum Vitae describing research, publication and teaching experience, computational skills and including personal contact information.
- Copies of the official bachelor diploma and transcripts of exam plus master's transcripts of exams.
- Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website. Upload in one of the fields called “Publication”.
- An official document describing the grading scheme of the awarding universities (if not Danish). Upload in one of the fields called “Publication”.
- List of publications and maximum 2 examples of relevant publications, in case you have any publications. Please attach one pdf-file for each publication.
- Reference letters may also be included. You're welcome to use the form for reference letter at the faculty website.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Odense M.
Jobbet er oprettet på vores service den 27.4.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
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