PhD-fellowship in memory and task-based functional imaging

University of Oslo Psykologisk institutt Oslo, Norway

About the position

PhD-fellowship

Join the University of Oslo as a PhD Research Fellow! Collaborate on impactful research in memory and task-based functional imaging (fMRI).

Project description

The Ph.D. fellow will work primarily on existing experimental fMRI data collected in the project "Lifespan Memory Imaging", funded by the Research Council of Norway. Using longitudinal imaging of brain activity and task-based connectivity, the project aims to predict early who will show memory decline and who will maintain good function as they age. This unique longitudinal fMRI dataset of episodic memory includes encoding and retrieval scans at both baseline and follow-up 6-8 years later. The project also leverages multimodal imaging data, including DTI, PET and ASL, and longitudinal cognitive and neuropsychological assessments. The position will focus specifically on the fMRI data to identify neural mechanisms underlying individual differences in age-related memory changes.

Your tasks

  • Process and analyze task-based fMRI data to estimate how memory processing changes throughout life.
  • Integrate data from multiple sources, including longitudinal cognitive assessments and PET imaging, genetic information and other types of data.
  • Write and publish scientific articles.
  • Collaborate extensively with the PI/supervisor, as well as other researchers at the center and collaborators of the center, including scientists in psychology, statistics, and genetics.
  • As the main purpose of the fellowship is research training leading to the successful completion of a Ph.D. degree, the research fellow must take part in the Faculty’s approved Ph.D. program.

We offer

  • Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development.
  • Committed, highly competent colleagues in a good working environment.
  • Good welfare schemes.
  • Opportunity of up to 1.5 hours a week of exercise during working hours.
  • A workplace with good development and career opportunities.
  • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes.
  • Salary in position as Doctoral Research Fellow, position code 1017 in salary range NOK from 558 000 - to 625 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund.

Read more about the benefits of working in the public sector at Employer Portal.

Application

Your application should include:

  • Letter of application, 1-2 pages, explaining the motivation for applying.
  • CV summarizing education, positions, and academic work.
  • Copies of educational certificates, publications/academic work (if any) that the applicant wishes to be considered by the evaluation committee.
  • Names and contact details of at least two references (name, relation to candidate, e-mail, and telephone number).
  • International applicants are advised to attach an explanation of their University’s grading system.

Your CV must be entered in Jobbnorge’s CV form and cannot be submitted only as an attachment. This requirement is intended to ensure correct documentation and record-keeping in accordance with the Public Administration Act, Section 15.

Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job".

When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.

This listing was collected from a public source and is reproduced here for information only. Always confirm the details on the original posting before applying.
View the original posting

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