PhD researcher position in cognitive neuroscience, EU Horizon 2020 Project AI-Mind
This job offer has expired
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ORGANISATION/COMPANYOslo University Hospital HF, Ullevål
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RESEARCH FIELDNeurosciences › OtherPsychological sciences › Cognitive science
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RESEARCHER PROFILEFirst Stage Researcher (R1)
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APPLICATION DEADLINE31/05/2021 23:00 - Europe/Brussels
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LOCATIONNorway › Oslo
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TYPE OF CONTRACTTemporary
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JOB STATUSFull-time
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HOURS PER WEEK37.5
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EU RESEARCH FRAMEWORK PROGRAMMEH2020
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IS THE JOB RELATED TO STAFF POSITION WITHIN A RESEARCH INFRASTRUCTURE?Yes
OFFER DESCRIPTION
Applications are invited for one PhD researcher position in cognitive neuroscience, at the Department of Neurology, Oslo University Hospital (OHU), Ullevål, within the EU Horizon 2020 AI-Mind project. AI-Mind is a five-year Research and Innovation Action (RIA) project, with a consortium of fifteen project partners from eight European countries. It is an interdisciplinary, international multicentre project that aims at developing a cloud-based diagnostic support platform for early dementia risk estimation in people with Mild Cognitive Impairment (MCI). The platform will use Artificial Intelligence (AI) based methods to integrate electroencephalographic (EEG) data with cognitive test scores and genetic information. Visit www.ai-mind.eu for more detailed information.
The position will be located at the coordinating group of the AI-Mind project at Oslo University Hospital, Ullevål. In addition to the core team at the Department of Neurology, the candidate will work in close collaboration with both academic and commercial European partners from the AI-Mind consortium, in particular with the four clinical partners at Helsinki, Madrid, and Roma University Hospitals and two academic spin-off companies.
We seek a person who is highly motivated to work in a skilled and interdisciplinary research group, characterised by high work capacity, curiosity, and feasibility. The position is part of a multinational network of experts and research fellows from different scientific fields such as technology, medicine, economics, and law. Therefore, the ability to communicate and collaborate well with others from different multi-disciplinary fields is a prerequisite.
The purpose of the fellowships is research training leading to the successful completion of a PhD degree and requires admission to the PhD program at the University of Oslo.
Job description
The research challenges that the candidate will be addressing in this project are related to:
- Cognitive functioning and its correlation to functional brain networks and genetic background.
- Artificial intelligence algorithm supportive use in future neurological diagnostics.
- Be an active part of the data collection logistics team, including patient inclusion, cognitive digitalised testing and EEG recording.
- The research work will be placed in the cutting-edge scientific fields between Cognitive neuroscience/AI/IT/biophysics and engineering in modern medical device development.
- The work will include data collection.
The candidate will be part of the Cognitive Health Research group at OUH and it is expected that she/he is pro-actively engaged in an interdisciplinary national and an international research team. A detailed plan for the PhD period will be defined, based on the specific background of the candidate and the project needs.
The fellowship period is three years. Starting date is preferably summer 2021 and no later than October 1st, 2021.
The application must contain
- Application letter.
- CV with 2-3 references (complete overview of education, relevant professional practice, and any other qualifying activities).
- Copy of diplomas/transcripts.
- A summary of your Master thesis.
Application (possibly with attachments) must be submitted via our recruitment system Jobbnorge.
Deadline of submission of applications is: 31 May 2021.
More Information
Benefits
What we offer
- A pleasant, highly motivated, international oriented and very dynamic work environment.
- Flexible, adapted working hours with home office option.
- We are committed in maintaining a very good working climate, stimulating everybody to an excellent personal development and their own further scientific career.
- Very good welfare schemes, pension scheme in the Government Pension Fund.
- A salary following PhD candidates’ placement in the public service (TEKNA).
Additional comments
Web site for additional job details
Offer Requirements
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REQUIRED EDUCATION LEVELNeurosciences: Master Degree or equivalentPsychological sciences: Master Degree or equivalent
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REQUIRED LANGUAGESENGLISH: ExcellentNORWEGIAN: Excellent
Skills/Qualifications
Qualification requirements
- A Master’s degree or an equivalent qualification in neuroscience, psychology or related fields.
- Very good communication skills.
- A background in computational neuroscience/bioengineering can also be considered.
- A foreign completed degree (M.Sc.-level) must correspond to a minimum of four years in the Norwegian educational system.
- Fluent oral and written communication skills in both Norwegian and English.
Grade requirements
- Courses at master's level must have an average grade of B or better.
- The master's thesis must have a grade of B or better.
- For 5-year educations, the average grade must be B or better.
Desired skills
- A strong interest to collaborate cross-disciplinary within a large European consortium.
- Motivation to meet with study participants and conduct data collection procedures.
- Experience in cognitive testing, MATLAB programming.
- Experience with EEG from clinical neuroscience or clinical neurology is an advantage, but not a strict requirement.
Personal skills
- Structured, independent and solution-oriented person.
- A very service-minded, accurate candidate who enjoys a high work pace.
- Ability for independent completion and planning of work tasks.
- Professionalism, flexibility and good collaboration skills are important.
- Personal suitability will be given great weight.
- Modern colleague who wishes to be part of implementing a new field of AI based supportive neurological diagnostic device development.
EURAXESS offer ID: 632298
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