PhD fellowship in ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT)

OPPORTUNITY DETAILS

Total reward

0 $

Association

for9a Mina7

Area

Western Europe

Host Country

Norway

Deadline

05 Mar 2021

Study level

Doctoral Degree

Opportunity type

PhD

Specialities

Medicine , Biology , Psychology

Opportunity funding

Not funding

Eligible Countries

This opportunity is destined for all countries

Eligible Region

All Regions

Faculty of Technology, Art and Design (TKD) has a vacant position as a PhD fellow associated with research on cognitive training and depression. The position is part of a strong interdisciplinary research environment at Oslo Metropolitan University (OsloMet) for brain-informed development of new health technology

Research field:

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 data) for the development of new technology for the health services. The position advertised here will focus on brain mechanisms that are believed to be effective in the prevention and treatment of depression in adults.

Using collected data from a previous RCT study on cognitive training in depression, the group has prepared analyzes that will be used as a background for the development of an "intelligent" solution for cognitive training called Attention Bias Modification (ABM). The purpose of the study is 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.

The candidate 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 (University of Oslo), NORMENT and the University of Oxford. The project is supervised by Associate Professor Rune Jonassen and Professor Peyman Mirtaheri at OsloMet and is part of the project group Intelligent Mental Health under the Research Group Mental Health and ADEPT.

Qualifications and conditions:

Admission to the PhD Programme in Engineering Science at OsloMet is a prerequisite for joining the position. To be admitted to the PhD programme, the applicant must have a B or better at the master's degree and C or better at the bachelor's degree. See information about admission requirements.

Applicants with a PhD in the same or similar field cannot apply.

Desired competence and necessary qualities:

Application

OsloMet uses an electronic application portal. In order to be considered for the position you must upload the following documents together with your application within the deadline:

The following applicants are exempt from the above mentioned language requirements:

All the documents must be written in English or a Scandinavian language. Documents (for instance diplomas and transcript of grades) issued in a different language than English or one of the Nordic languages, must be translated into one of the Nordic languages or English. Translations must be conducted by a government authorized translator. 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.

We offer

Further information

For further information about the position, please contact:

Associate professor Rune Jonassen (runej@oslomet.no, +47 95857981)

For technical questions, please contact HRTKD@oslomet.no

For questions about the PhD programme, please contact mari.devik@oslomet.no

The salary for the PhD fellowship position is in accordance with the pay scale for Norwegian state employees, PhD fellow and position code 1017. State salary wage scale 54, 482 200 NOK per year.

Practical information about relocation to Oslo and living in Norway