Postdoctoral Research Fellow in Machine Learning Applications in Structural Health Monitoring - Hiring in process/Finished, not possible to apply

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. You can find more information about the department at here.  

Area of research

The Department of Civil Engineering and Energy Technology currently has an opening for a temporary Postdoctoral Fellow position in the field of ‘Machine Learning Applications in Structural Health Monitoring’ in a period of 2 years, with a possibility to be extended.

The Postdoctoral fellow will be part of the research project “NEAR: Next Generation Finite Element Calibration Methods for Railway Bridges” which is funded by Bane NOR. The project will be conducted in collaboration with Bane NOR, NTNU and University of Oslo. The Postdoctoral fellow’s main task will be developing machine learning models that will be used to calibrate finite element models for railway bridges that can reliably estimate the maximum accelerations due to train loads.

Tasks and responsibilities:

The candidate will focus on the NEAR project but is expected to contribute to relevant research at the department. The position will be for a period of two years with a possibility for extension.

Qualifications requirements:

• PhD degree in Computer Science, Electrical Engineering, Structural Engineering or related fields with specialization in one or more of the following:
  • o Machine Learning
  • o Signal Processing
  • o Artificial Intelligience
  • o Data Management and Processing
  • o Structural Health Monitoring
• A relevant publication record
• Ability to conduct independent research
• Experience with programming and scripting languages
• Proficiency in oral and written English is required

General criteria for appointments to academic positions are covered by the Regulations for appointment and promotion to academic posts.

General criteria for evaluating educational competence is described by OsloMets criterias for evaluating educational competence.

The following will be an advantage:

Emphasis is also placed on the following skills, competence and experience: 

• Good communication skills and ability to collaborate in interdisciplinary research
• Personal skills relevant for a good working environment
• The applicant's topical profile evaluated against the topic of the project

It is important for 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. If there are periods where you have not been in work, under education or in training, you are also welcome to apply.

Expert assessment:

Applicants will be assessed by an expert committee. By the application deadline, please upload the following documents together with your application:

• A text (one page) outlining your relevant research and your motivation.
• CV (including the name and contact information of at least three references)
• Full list of publications
• Copies of certificates/diplomas
• Full texts of up to 5 publications
• A copy or summary of your PhD thesis
• Names and contact details of 2-3 references (name, relation to candidate, email, and telephone number).
• Other relevant documentation

OsloMet has signed and commited the institution to follow the recommendations in the DORA- decleration.

You must upload all the documents in order for your application to be processed.  The documents must be in either English or a Scandinavian language. Translations must be authorized. Originals must be presented if you are invited for an interview. OsloMet checks documents in order to give you as a candidate a proper evaluation and ensure fair competition. If you have documents that cannot be uploaded electronically, please contact hilde.tverseth@oslomet.no

We offer:

• An exciting job opportunity at Norway’s third largest and most urban university
• Participation in a dynamic professional environment and unique academic community
• The opportunity to be part of the development of a young and ambitious university with an entrepreneurial culture
• Academic development as part of a group of committed colleagues.
• Opportunities for academic development in a professional research environment
• Loan and pension arrangements through the Norwegian Public Service Pension Fund
• Beneficial welfare schemes and a wide range of sports and cultural offers
• Working location in downtown Oslo with multiple cultural offers 

Practical information about relocation to Oslo and living in Norway

The position is remunerated in accordance with the Norwegian State salary scale 60-74, job code 1352 Postdoctoral Research Fellow. The salary is NOK 532 300 – 691 400 per year. A higher salary may be considered for particularly well-qualified applicants.

Other information

If you would like more information about the position, feel free to contact:

• Associate Professor Emrah Erduran, emrah.erduran@oslomet.no , +47 928 74 763

If you wish to apply for the position, please do so via our application portal.

Deadline for applications: 30.09.2020

Ref. no:                    20/07197