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PhD Fellowship position; Intelligent Health

OsloMet –  storbyuniversitetet er landets tredje største universitet, med over 20 000 studenter og mer enn 2000 ansatte. OsloMet leverer kunnskap og yrkesutøvere samfunnet er avhengig av, og er tett på arbeidslivets behov. OsloMet er et urbant og mangfoldig universitet med internasjonalt preg og et attraktivt studie- og arbeidssted med studiesteder midt i Oslo og på Kjeller ved Lillestrøm. Tilstedeværelsen i hovedstadsregionen gir universitetet gode muligheter til å forstå og høste fordelene av byens varierte befolkningssammensetning.

Faculty of Health Sciences (HV) and the Faculty of Technology, Art and Design (TKD)announces one PhD fellowship in the area of Intelligent Health.

Read more about the Faculties https://www.oslomet.no/en/about/hv; https://www.oslomet.no/en/about/tkd

The fellowship will be for a period of three years, or alternatively, four years including 25% compulsory work (teaching and supervision activities or research administrative work).

The issue of whether a 3 or 4 year position is suitable will be discussed as part of the interview process. The academic work is to result in a doctoral thesis that will be defended at the Faculty to obtain the degree PhD.


For more information about the PhD programs, please see the following website:

https://student.oslomet.no/en/studier/-/studieinfo/programplan/PHVIT/2020/HØST

https://www.oslomet.no/en/study/tkd/engineering-science-phd

 

Intelligent Health

Intelligent Health is an interdisciplinary initiative at OsloMet where researchers in health, technology, design and social science work together to find sustainable solutions to society's health challenges. In order to solve these challenges, new arenas must be created at the interfaces between health-, technology- and social sciences, key institutions such as health trusts, municipalities, as well as the private sectors and users. Research therefore often takes place close to the community and is user- and needs-oriented. Intelligent Health will contribute new knowledge, research, innovation and a more future-oriented education of tomorrow's health care professionals.


Area of research

This is an open call within the larger field of health and technology. We seek highly motivated and driven candidates that have the opportunity to present short project proposals in collaboration with our faculty members.

Intelligent Health is a strategic initiative by OsloMet. Examples of research areas are those where emerging technologies and health challenges meet:

Applicants are required to provide a description of their chosen research project when applying for the PhD position. The requirements for the project description are listed under the bullet with information about the application.


You must have


When assessing and ranking the qualified applicants emphasis will be placed on


We are looking for applicants who have

It is important to 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. You are also welcome to apply for a position with us if you have experienced periods where you have not been in work, education or training.


We can offer you

Practical information about relocation to Oslo and living in Norway.

The salary for the position is in accordance with the Basic Collective Agreement for state employees and OsloMet’s pay policy for position code 1017 (research fellow), salary grade 54, i.e. an initial salary of NOK 479,600 the first year. By law 2% of the salary is deducted as to the Norwegian State Pension Fund.

Other information

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

Kaare Magne Nielsen, Department of Life Sciences and Health, Faculty of Health Sciences, phone  +47 67 23 63 17, kaare.nielsen@oslomet.no

Astrid Oust Janbu, Department of Mechanical, Electronics and Chemical Engineering, tlf. +47 67 23 85 40, astridoust.janbu@oslomet.no

If you have any problem uploading documents, please contact malinla@oslomet.no

For questions concerning admission to the PhD programme, contact phd-hv@oslomet.no


Application

If you wish to apply for the position, please apply electronically by clicking the button at the bottom of the page.


Expert evaluation and documentation requirements

Applicants will be assessed by an expert committee. In order to be considered for the position you must upload the following documents together with your online application by the final date for the application:

All the documents must be in either English or a Scandinavian language. Any translations must be authorized by government. 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.

Note also that failure to upload one or more of the above-mentioned documents will result in your application being rejected without further consideration.

If a high number of applications is received, a selection of the most qualified applicants will be done before the detailed assessment by the committee.

A main supervisor at the Faculty of Health Sciences or the Faculty of Technology, Art and Design must be listed in the final application. Additionally, as we encourage cross- and multidisciplinary approaches to Intelligent Health at OsloMet, we would like the candidate to suggest a co-supervisor from the Faculty – Health or Technology, Art & Design - where the main supervisor is not located. Where possible, a co-supervisor from outside OsloMet should also be listed.

We ask that you as a candidate identify relevant supervisors at OsloMet. In the case that an applicant does not have knowledge of relevant supervisors, she or he can send the 200 word (maximum) description of their proposed research project by the title “Abstract PhD Fellowship in Intelligent health”. The abstracts will, as deemed relevant, be sent to relevant supervisors so that they can consider and contact potential candidates. This is done to support matching of applicants and potential supervisors. It is, however, the applicant´s responsibility to identify a supervisor. If no relevant supervisors are available, this will be communicated to the candidate.

Due to the extraordinary situation we are currently in interviews with candidates will be conducted online and no travel for the interviews will be necessary.

 

Deadline for applications: 12.11.2020

Ref.:                               20/09029



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