Faculty of Technology, Art and Design

OsloMet - Oslo Metropolitan University (former HiOA) is Norway’s third largest university, with more than 20,000 students and over 2000 employees. We conduct research in areas that are important for welfare and value creation, for instance health, education, social sciences, technology and design. OsloMet has an academic stimulating environment with a variety of welfare schemes. 

The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 3.000 students and 280 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Akershus.

The Faculty of Technology, Art and Design, Department of Civil Engineering and Energy Technology of Oslo Metropolitan University (OsloMet) is looking for a motivated PhD candidate with a master’s degree in structural engineering (or close to obtaining such a degree). The vacant PhD research fellowship position has a duration of 4 years with 25% of the time assigned to teaching and supervision task of BSc projects at the Department of Civil Engineering and Energy Technology.

The Department has about 700 students and 40 staff members. For more information about the Department, visit our website: http://www.hioa.no/eng/About-HiOA/Faculty-of-Technology-Art-and-Design/Department-of-Civil-Engineering-and-Energy-Technology

The PhD position is located at OsloMet’s Department of Civil Engineering and Energy Technology in central Oslo. The candidate will be enrolled in the new PhD Programme of OsloMet. The applicants must qualify for admission to the actual PhD Programme. 

Area of research

The PhD research project is within the research area “Modelling and Simulation of Concrete Structures with Neural Networks”. The project will contribute to the development of research activities at the department and will also strengthen international cooperation. It aims at developing an innovative, robust and computationally efficient structural analysis procedure capable of realistically and objectively predicting the linear and nonlinear response of concrete structures and individual concrete elements. This procedure will be suitable for both research and practical civil engineering applications. The development of the proposed method will be based on a Neural Network (NN) computational framework and as a result it is expected to require significantly less computational effort in comparison to traditional structural analysis approaches based on conventional Finite Element Analysis. The procedure will simulate the linear and nonlinear behavior of concrete structures and elements (such as beams, columns or joints) through the use of appropriately trained artificial Neural Networks.

Main duties of the position

  • conduct research in the fields of the project and publish the relevant results in scientific conference proceedings and academic journals. Indicatively,

- study the behavior of concrete structures and individual elements under static or dynamic loading conditions using advanced computational model

- perform Finite Element Analyses and parametric studies of concrete structures

- develop Neural Network surrogate models for predicting the behavior or concrete structures and elements

  • contribute in teaching and supervision of student theses at the Department, up to 25% of the total work load
  • some administrative tasks should also be expected

The following qualifications are required:

  • master’s degree in Civil Engineering/Structural Engineering/Computational Mechanics, with an average grade B or better within a scale of A-E (or equivalent)
  • programming skills in MATLAB, Python, or similar
  • background in the analysis and design of concrete structures and experience in finite element modeling and simulation will be an advantage
  • experience in publishing academic works in conferences and journals is an advantage.
  • fluency in both written and spoken English

We are looking for applicants who have:  

  • high motivation for the research work described above
  • ability to work independently and in a team.
  • scientific mindset and structured and organized approach in problem solving
  • excellent communication skills and ability to collaborate in interdisciplinary teams 
  • able to form and convey ideas in a simple and understandable manner
  • comfortable with teaching and supervision in front of public
The PhD position presupposes admission to a PhD program approved by the Department of Civil Engineering and Energy Technology. The PhD study plan for the PhD fellowship period is required to be completed, approved by the supervisor and acknowledged by the PhD host institution within 3 months after commencement of the position.  It is important for OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active efforts to further develop as an inclusive workplace and to adapt the workplace if required. 

We can offer you

  • an exciting job opportunity at Norway’s third largest and most urban university
  • a dynamic and motivating professional working environment with challenging tasks in an area of substantial development
  • opportunities for professional development by participating in the Department’s research groups
  • beneficial pension arrangements with the Norwegian State Pension Fund
  • good employee welfare arrangements and free Norwegian classes to employees and their partners
  • relocation support, cultural courses and on boarding services working location in downtown Oslo with multiple cultural offers

OsloMet’s International Career Site gives information on living and working in Oslo.

Application and expert evaluation

The applications must be written in English. An expert committee will assess applicants. You must upload the following documents together with your application by the final date for applications:

  • Application letter, CV and copies of diplomas/certificates and transcripts. The certificates/diplomas must include ECTS grades (A–F). Foreign diplomas must be translated into English by the degree-conferring institution. Education taken abroad should preferably be recognised in advance by NOKUT, and a confirmed copy of the letter of recognition should be enclosed.
  • Your master's degree/second degree thesis (and any other scholarly work that you wish the expert committee to take into consideration) and a list of your publications, if relevant
  • Any publications you wish to be considered (maximum 3).
  • Names and contact details of at least 2 references.
  • Non-Scandinavian candidates must document their English skills. 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 suspended. In such cases the candidate's language skills will be assessed in a personal interview. If you are in the process of taking the test and the results will come after the deadline, please contact us and let us know.

Please apply electronically to this position by clicking on the button «login and apply». All the documents must be in either English or a Scandinavian language. Any translations must be government authorized.

You must upload all these documents. Original documents and valid passport must be presented if you are invited for an interview. The personal interview will be conducted in English. OsloMet performs document control in order to give you as a candidate a proper evaluation and ensure fair competition. Please note that incomplete applications will not be considered. The application must state your reasons for applying to the position and what makes you particularly qualified to carry out this PhD work.

Contact information

For further information about the fellowship, the project and the position, feel free to contact:

Head of Department Vitalis Pavlovas, +47 67 23 86 29, e-mail: vitali@oslomet.no

Associate Professor Vagelis Plevris, +47 92 56 95 40, e-mail: vageli@oslomet.no

For information about processing of applications or if you have any problem uploading documents, please contact HR advisor Gerd S. Hansen, e-mail: gerdsh@oslomet.no

Remuneration

The salary for the position is set in accordance with the Norwegian State Salary Scale, position code 1017, salary NOK 449 400 – 472 300 per year. By law 2% of the salary is deducted as to the Norwegian State Pension Fund. The position adheres to the Norwegian Government’s policy that the national labour force should to the greatest possible extent reflect the diversity of the population. Therefore, we encourage qualified candidates with immigrant background or reduced functional ability to apply for this position.

OsloMet is an IA (Inclusive Workplace) enterprise and operates in compliance with the Norwegian IA agreement. According to the Norwegian Freedom of Information Act (Offentleglova) your name may be published on the public applicant list even if you have requested non-disclosure. You will in this case be contacted before your name is published. 

Deadline for applications:      28.10.2018

Ref.:                                    18/08798

OsloMet has implemented the Charter & Code and been certified by the EU Commission with HR Excellence in Research (HRS4R) and is part of the EU network for mobility of Researchers Euraxess.

Type of employment Visstidsanställning (kortare än 10 dagar)
Contract type Full time
Employment expires
Number of positions 1
Working hours 100%
City Oslo
County Oslo
Country Norway
Reference number 18/08798
Contact
  • Vitalis Pavlovas, Head of Department , +47 67 23 86 29
  • Vagelis Plevris, Associate Professor , +47 92 56 95 40
Published 27.Sep.2018
Last application date 28.Oct.2018 11:59 PM CET

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