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PhD fellowship position in Health technology, Biomedical engineering – OsloMet, Norway

Norway, Oslo Metropolitan University (OsloMet)

The Faculty of Technology, Art and Design (TKD) invites applications for a PhD fellowship position in health and technology, connected to ADEPT, at OsloMet – Oslo Metropolitan University, Norway

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General Info

Position: PhD fellowship
No. of Positions: 1
Research Field: , ,
Joining Date: ASAP
Contract Period: 3 Years
Salary: According to Standard Norms

Workplace:
Faculty of Technology, Art and Design (TKD)
Department of Mechanical, Electronics and Chemical Enginering (MEK)
Oslo Metropolitan University (OsloMet)
Oslo,

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Qualification Details

  • master's degree (120 STP / ECTS) or equivalent in cognitive neuroscience, medical technology (biomedical engineering) or related research disciplines.
  • proficiency in both written and spoken English
  • final project plan for the fellowship period is required completed and acknowledged within 3 months after accession

Admission to the doctoral program in engineering science at the faculty of Technology, Art and Design at OsloMet  is a prerequisite for joining the position. To be admitted to the PhD program, the applicant must have a B or better at the master's degree and C or better at the bachelor's degree.

See more information about the PhD program in Engineering Science.

Responsibilities/Job Description

Research field and work area: ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) is an interdisciplinary initiative across faculties and professions at OsloMet. In this project, the group seeks to connect different data sources (symptoms, function, biology, and brain activity data) to develop new technology for health services. The position advertised here will focus on brain mechanisms that are believed to be effective in preventing and treating depression in adults.

Using collected data from a previous RCT study on cognitive training in depression, the group has prepared analyses that will be used as a background for developing an "intelligent" solution for cognitive training called Attention Bias Modification (ABM). The study aims to optimize and individualize ABM for maximum positive change of biased attention in depression. The mechanism is the same as is believed to be effective during conventional antidepressant treatment, and ABM may therefore represent a drug-free supplement with high clinical potential. The candidate will be invited to the final design of the project to ensure commitment and competence.

Here you will collaborate with several of the national leading research communities within brain imaging and cognitive training. The projects are carried out in collaboration with the Department of Psychology, UiO and is supervised by Associate Professor Rune Jonassen and Professor Peyman Mirtaheri at OsloMet.

How to Apply?

Online Application through "Apply Now" Button from this page

Reference Number: -
(If any, use it in the necessary place)

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Documents Required

In the application you must upload the following documents:

  • application letter, CV and copies of diplomas / certificates with transcripts of records. Please note that a description of the country's / university's grading system must be included in the transcripts. Education taken abroad should preferably be recognized in advance by NOKUT, and a certified copy of the approval letter should be attached.
  • a motivation letter stating why you are applying for the project and what makes you particularly suitable to be able to complete this doctoral thesis (500-1000 words)
  • master's thesis / master's thesis
  • list of any own publications
  • name and contact details of at least two references
  • 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 or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum score is:

  • TOEFL: 600 (paper-based test), 92 (Internet-based test)
  • IELTS: 6.5, not lower than 5.5 (only academic IELTS test accepted)

The following applicants are exempt from the English test requirement:

  • applicants from EU / EEA countries.
  • applicants who have completed one year at a university in Australia, Canada, Ireland, New Zealand, the United Kingdom or the United States.
  • applicants with an International Baccalaureate (IB) diploma.

We only process applications sent via our electronic recruitment system and all documents must be uploaded for your application to be processed. The documents must be in English or a Scandinavian language. Translations must be authorized. You must present originals at a possible interview. OsloMet conducts control of documents, so that you as a candidate will receive a real evaluation and fair competition.

You must upload all of these documents. Original documents and valid passport 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.

About the Project/Department

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 Viken.

The department offers bachelor’s degree programmes in engineering, in addition to research and development activities. The department has approximately 40 staff members and 460 students. Research within biotechnology and medical technology are priority areas at the department.

Research field and work area: ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) is an interdisciplinary initiative across faculties and professions at OsloMet. In this project, the group seeks to connect different data sources (symptoms, function, biology, and brain activity data) to develop new technology for health services. The position advertised here will focus on brain mechanisms that are believed to be effective in preventing and treating depression in adults.

Using collected data from a previous RCT study on cognitive training in depression, the group has prepared analyses that will be used as a background for developing an "intelligent" solution for cognitive training called Attention Bias Modification (ABM). The study aims to optimize and individualize ABM for maximum positive change of biased attention in depression. The mechanism is the same as is believed to be effective during conventional antidepressant treatment, and ABM may therefore represent a drug-free supplement with high clinical potential. The candidate will be invited to the final design of the project to ensure commitment and competence.

Here you will collaborate with several of the national leading research communities within brain imaging and cognitive training. The projects are carried out in collaboration with the Department of Psychology, UiO and is supervised by Associate Professor Rune Jonassen and Professor Peyman Mirtaheri at OsloMet.

About the Employer: Oslo Metropolitan University (OsloMet)

Note or Other details

We can offer you

  • an exciting job opportunity at Norway’s third largest and most urban university
  • opportunities for professional development
  • participation in an active research group with regular meetings / seminars and a good external network
  • beneficial pension arrangements with the Norwegian State Pension Fund
  • good employee welfare arrangements
  • free Norwegian classes to employees
  • working location in downtown Oslo with multiple cultural offers
  • practical information about relocation to Oslo and living in Norway

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Contact details

For further information about the position and the project, contact:

  • Associate Professor Rune Jonassen: runej@oslomet.no, +47 95857981.

The salary for the position is in accordance with the pay scale for Norwegian state employees, job title and position code. State salary wage scale 54, 491 200 NOK per year.

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