Department of Neurology, Oslo University Hospital
Applications are invited for one PhD researcher position at the Department of Neurology, Oslo University Hospital (OUH), within the EU Horizon Europe eBRAIN-Health Project. eBRAIN-Health is a 4-year project which aims to develop a decentralized, data protection-compliant research platform capable of simulating some of the brain’s complex neurobiological phenomena. OUH is responsible for delivering the project’s Big Data Analytics and specifically to:
Implement and deploy machine learning tools and workflows to aid the analysis of the empirical data and simulated model outputs.- Develop tools for reliable inference on complex predictive model.
- Compare different machine learning techniques by modelling the molecular features of the AD spatial temporal signature in EEG and MEG.
We seek one PhD researcher who is highly motivated to work in an interdisciplinary group, with 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 position will be located at Oslo University Hospital, Ullevål. The PhD researcher will work in close collaboration with both academic and commercial European partners from the project’s consortium, in particular with INRIA, FZJ, VUmc, UiO and others.
The purpose of the fellowship is research training leading to the successful completion of a PhD degree and requires admission to the PhD program at the University of Oslo (https://www.uio.no/english/research/phd/).
Oslo University Hospital is a workplace with great diversity. We believe this is a key quality to perform the tasks required of us. Therefore, we pursue diversity also among our job applicants and encourage everyone to apply regardless of who you are and what background you have.
19.05.2023
Oslo universitetssykehus HF
PhD Candidate
1
Full-time
Contract
100
4664253401
Job description
The research challenges that the candidate will be addressing in this project are related to:
Evaluate the use and professional accept of synthetic data in medical AI from an ethical and health technology assessment (HTA) perspective.- Test and validate the performance, uncertainty, and explainability of AI models enriched with synthetic data.
- Contribute to a framework for understanding and modification of bias in medical AI models.
- Facilitate continuous alignment between technical and clinical perspectives and tasks in the eBRAIN-Health project.
The PhD student will be part of the Cognitive Health Research group at OUH and she/he will be engaged in an interdisciplinary national and an international research team. A detailed plan for the PhD period will be defined, based on the background of the candidate and the project needs.
The fellowship period is three years. Starting date is as soon as possible, the latest on the 1st of July 2023.
Qualifications
Qualification requirements
Degree in Medicine. Applications of candidates who will complete their studies in spring semester 2023 will also be considered.- Experience with EEG tests, EEG data collection and analysis.
- Experience with digital cognitive tests and blood-based biomarkers.
- Knowledge and experience in medical device development and/or electrical signalling in neuroscience or medicine in general.
- Knowledge about and some hands-on experience from the field of health technology assessment (HTA).
- Knowledge of human neurophysiology, neurobiology, and/or neuroanatomy is recommended
- A foreign completed medical degree must correspond to a minimum of six years in the Norwegian educational system.
- Fluent oral and written communication skills in English and Norwegian.
Grade requirements
Courses at master's level must have an average grade of B or better.- The master's thesis or comparable must have a grade of B or better.
- For 6-year educations, the average grade must be B or better.
Desired skills
A strong interest in collaborating with a cross-disciplinary team within a large European consortium.- Motivation to meet participants and conduct data collection procedures.
- High interest in IT based medical tool development.
- Clear understanding the origins of neurophysiological signals.
- Some experience with publishing peer-reviewed articles will be an advantage.
- Experience with electrophysiology in neuroscience or clinical neurology is an advantage, but not a strict requirement.
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Experience with writing scientific and publishing papers in the field of AI or/and medical AI and/or Neuroscience in recognized publication channels by the Norwegian Centre for Research Data – NSD.
Personal skills
- Very structured, independent, and solution-oriented person.
- Empathic communication skills with patients.
- Service-minded, accurate and enjoying a high work pace.
- Ability for independent completion and planning of work tasks.
- Professionalism, flexibility.
- Very good collaboration skills.
- Modern colleague who wishes to be a part of and develop an outstanding team in the new field of AI and digitalised applied medical device development.
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 and pension schemes in the Government Pension Fund.
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 Master thesis or comparable project work in medicine.
Application (with attachments, if applicable) must be submitted via our recruitment system.
Deadline of submission of applications: May 19th, 2023.
Other information
Relevant applicants will be called for an interview.- OUH has a personnel policy goal of achieving a balanced gender composition and recruiting people with diverse backgrounds.
- In addition, OUH wants our employees to reflect the diversity of the population as much as possible. We therefore encourage qualified applicants with reduced functional ability to apply for the positions. As an “IA” company, we will create the conditions for employees with disabilities.
Contacts
