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Asociación, Examinar oportunidades similares
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Asociación, Examinar oportunidades similares
You can find more information about the department here.
There are currently several active research groups at the Department of Civil Engineering and Energy Technology. The Department is actively involved in the PhD program in Engineering Science. The PhD-program at TKD has a multidisciplinary profile and offers a variety of topics within engineering science. The program is a collaboration with the research center on digital engineering: SimulaMet. TKD is an important contributor to OsloMet’s strategic goal of being a leading provider of research and education for solving the big challenges for society - today and in the future.
For more information about the program, please see here.
The Faculty of Technology, Art and Design currently has an opening for a PhD position at the Department of Civil Engineering and Energy Technology, in the area of smart and advanced materials. Smart cities, buildings and structures is a strategic research area for the Faculty of Technology, Art and Design. Smart structures represent a novel engineering approach that not only improves the safety of structures, but also provides valuable opportunities to increase their service life and decrease their environmental impact. One focus area of the Department of Civil Engineering and Energy Technology within this field is smart materials. Smart materials can be defined as highly engineered materials that respond intelligently to their environment as well as being sensible and interactive. On a broader level one can include advanced engineered materials that are optimized for its purpose. In this context we will consider smart materials that are employed in the field of structural engineering. This can involve the study of unconventional materials such as shape memory alloys like self-sensing concrete and smart skins, but also engineered or functionally graded materials or even 3D printed/additive manufactured materials. The potential of using finite element modeling and material modeling together with artificial intelligence and machine learning methods will be investigated. Using reality gap and data mining algorithms, we can develop a fundamental understanding of the behavior of the smart or advanced materials using real and virtual laboratory tests.
The main supervisor will be Professor Aase Reyes, Department of Civil Engineering and Energy Technology.
The position will be for a period of three or four years. A four-year period will include 25% compulsory work (teaching, lab, or project supervision responsibilities at the department). The PhD position presupposes admission to the Faculty’s PhD program. Candidates who apply for a four-year position also have to demonstrate good pedagogical skills and an interest for teaching and supervision.
Candidates which already holds a PhD in the same or similar field may not apply.
It is important to OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active endeavours to further develop OsloMet as an inclusive workplace and to adapt the workplace if required. You are also welcome to apply for a position with us if you have experienced periods where you have not been in work, education or training.
In order to be considered for the position you must upload the following documents together with your online application by the final date for the application:
Applicants from countries where English is not the first language must present an official language test report. The following tests qualify as such documentation: TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:
The following applicants are exempt from the above mentioned language requirements:
Please apply electronically to this position.
All the documents must be written in 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.
If you would like more information about the position, feel free to contact:
The salary for the position is in accordance with the pay scale for Norwegian state employees, PhD Fellow, job code 1017. Salary NOK 482 200, pay grade 54. By law 2% of the salary is deducted as to the Norwegian State Pension Fund.
Deadline for applications: 25.02.21
Ref.: 20/01020
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