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  3. FHML/CARIM-BME PhD candidate to work on noninvasive imaging-based prediction of outcome after cardiac resynchronization therapy (CRT) in patients with dyssynchronous heart failure

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FHML/CARIM-BME PhD candidate to work on noninvasive imaging-based prediction of outcome after cardiac resynchronization therapy (CRT) in patients with dyssynchronous heart failure

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?

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Arbeidsvoorwaarden

Standplaats:
Robert Schumandomein, Maastricht, Limburg
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Salarisindicatie:
€ 2325 - € 2972 per maand
Opleidingsniveau:
WO

Functieomschrijving

We are looking for an excellent candidate to fill the role of a 3-year ESR position (PhD candidate) at MU to work on noninvasive imaging-based prediction of outcome after cardiac resynchronization therapy (CRT) in patients with dyssynchronous heart failure. In close collaboration with experts of the participating hospitals in Maastricht, Leuven, Hasselt, and Oslo, you will build a large database of echocardiographic imaging and clinical outcome data in heart failure patients treated with CRT. You will use this database to evaluate the ability of artificial intelligence-based technologies, as developed by the other MARCIUS ESRs, to predict patient outcome after treatment with CRT. You will work in close collaboration with biomedical engineers at the University of Leuven (KU Leuven; Belgium) and will spend a longer period (minimum of one year) at the R&D office of GE Vingmed (Oslo, Norway) to get acquainted with state-of-the-art echocardiographic image analysis tools and technologies.

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.

Functie-eisen

Offer Requirements

·       REQUIRED LANGUAGES

ENGLISH: Excellent 

Skills/Qualifications

Qualifications

  • Must have a Medicine degree (MD) or a Master of Science degree in Biomedical Sciences, Technical Medicine, Clinical Technology, or equivalent.
  • Good knowledge about cardiovascular physiology and pathophysiology is required.
  • Knowledge about and experience with data processing and biostatistics is advantageous.
  • 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.

Conditions

Special rules for eligibility of ESR candidates: 

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.

Mobility Rule: at the time of recruitment by the host organization, researchers must not have resided or carried out their main activity (work, studies, etc.) in The Netherlands for more than 12 months in the last 3 years. Compulsory national service and/or short stays such as holidays are not taken into account.

Additional information

Maastricht University (MU) is one of the institutions in the new EU-project “Marie Curie Intelligent Ultrasound” (MARCIUS), with 6 Early-Stage Researchers (ESRs) 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.