RESEARCH FIELDComputer science › Digital systemsEngineering › Biomedical engineeringEngineering › Computer engineering
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE22/11/2019 22:00 - Europe/Brussels
LOCATIONNorway › Oslo
TYPE OF CONTRACTTemporary
HOURS PER WEEK37.5
OFFER STARTING DATE02/12/2019
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER860745
Do you want to work in the growing sector of medical technology? Do you want to start your career in a European network of leading universities, hospitals and industry? Do you want to see both academic and industrial perspectives to research from the early days of your career?
GE Vingmed Ultrasound (GEVU), a part of GE Healthcare,is one of the institutions in the new EU-project “Marie Curie Intelligent Ultrasound” (MARCIUS), with 6 young researchers divided between 3 different European research institutions and companies. MARCIUS will leverage recent progress in machine learning to train a neural network to recognize unique disease states using a large database of patient data with known pathophysiology and outcome augmented with virtual patient data obtained using a well-validated mathematical model of the heart and circulatory system in combination with a beyond the state-of-the-art ultrasound simulation tool. Through research and targeted teaching, MARCIUS will provide Europe with researchers trained with the cross-disciplinary understanding and skills necessary to develop enabling technologies in an industrial and clinical setting. The longer-term outcome of the project is new products, which will benefit patients across Europe and worldwide directly by advancing the state of care within cardiology. Multi-disciplinary dialogue and work between clinicians and biomedical engineers is crucial to address the challenges in this emerging field.
MARCIUS is an Innovative Training Network funded through the Marie Skłodowska-Curie actions and promotes international exchange by requiring that hosts must hire students that have not lived in the host country. An additional key advantage of this training network is that students at all institutes must visit other institutes in the network through mandatory secondments, allowing each student to live and work in other environments during their PhD program.
The position at GEVU
The main focus for the position is to develop methods to automate clinical workflows for cardiac ultrasound. Interaction with clinical and academic centers will drive this project through research visits at some of the other centers in the MARCIUS consortium and through interaction with other MARCIUS fellows and MARCIUS partners. The position will be based at GEVU in Norway but will include extended stays at KU Leuven (Belgium) to learn about image processing in cardiac ultrasound, and Jessa Hospital (Belgium) to learn about clinical aspects of cardiac ultrasound data. In addition, close collaboration with the other partners in the project will be a core driver for the project and a means to expand and share knowledge across the different partners.
GEVUis the world’s number one supplier of diagnostic ultrasound equipment. GEVU is taking a lead in developing Digital solutions integrating deep learning, cloud computing and smart devices with and within the ultrasound scanners. It is based in Norway with offices in Horten, Oslo and Trondheim. More than 60 PhD theses have been published in Norway alone, based on work related to development and use of equipment from GEVU.
Special rules for eligibility of candidates:
Early-Stage Researchers (ESRs) shall, at the time of recruitment by the host organization, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
At the time of recruitment by the host organization, researchers must not have resided or carried out their main activity (work, studies, etc.) in Norwayfor more than 12 months in the last 3 years. Compulsory national service and/or short stays such as holidays are not taken into account.
REQUIRED LANGUAGESENGLISH: Excellent
- Must have a Master of Science degree in one of the following fields: physics, biophysics, mathematics, (biomedical) engineering or computer science. Candidates from related scientific disciplines are welcome to apply.
- Good programming skills are required. Knowledge of Python is and/or C/C++ are a plus.
- A background in machine learning and/or computational statistics is required.
- A background in ultrasound imaging/physics or image processing is advantageous.
- Good written and oral communication in English is a must.
- Strong academic record with a weighted average grade of master’s or equivalent education with a grade of B or higher.
- Advantageous to have a special interest and competence within medical technology, practical experience with research methods, and R&D work at research institutes, universities and/or the health sector.
- Emphasis on teamwork, innovation, being dynamic and enthusiastic as well as collaborating well with other members of a team.
Relevant certificates, including all grades, credits and marks and recommendation letters must be submitted along with the application. Certified copies of study credits with grades will be needed from those called to an interview.
EURAXESS offer ID: 456697
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