New EU-Project “Marie Curie Intelligent Ultrasound” (Marcius) - Second PhD Position
University of Leuven, Cardiovascular Imaging and Dynamics




The University of Leuven (KU Leuven) 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. KU Leuven was founded on 9 December 1425 and has thereby the double honor of being the oldest university in the Low Countries and the oldest extant Catholic university in the world. Today, KU Leuven accommodates 50,000 students, spread across the various campuses in Leuven and elsewhere in Flanders. The University and University Hospitals Leuven each employ almost 10,000 people. For research, KU Leuven ranks among the worlds finest. KU Leuven has become a cosmopolitan institution in a rapidly changing urban environment. Its unique profile reconciles cutting-edge science with quality of life and openness to talent.


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 ESR position at KU Leuven

We are looking for an excellent candidate to fill the role of a 3-year Early Stage Researcher position (PhD) at KU Leuven to work on computer vision methodologies (i.e. machine learning) towards training algorithms recognize image textures and relate them to cardiac disease processes. The position will require a good understanding of machine learning methodologies and ultrasound physics/image formation in particular but will also involve tissue histological analyses. The candidate will spend 18 months at the R&D offices of GE Vingmed (Oslo, Norway) to get acquainted with state-of-the-art ultrasound technologies.




  • 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 Matlab, Python and/or C/C++, TensorFlow are a plus.
  • A background in machine learning or ultrasound imaging/phyics  is advantageous.
  • 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.
  • An excellent knowledge of English language is required. 

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.




Special rules for eligibility of ESR 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.

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 Belgium 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.


For more information please contact Prof. dr. Jan D'hooge, tel.: +3216349012, mail:

You can apply for this job no later than October 01, 2019 via the online application tool

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at

If you apply for this position please say you saw it on Computeroxy


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