格罗宁根大学

Cardiovascular Modeling and Inverse Problems

项目介绍

Organisatie

Founded in 1614, the University of Groningen enjoys an international reputation as a dynamic and innovative institution of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 35.000 students and researchers alike to develop their own individual talents.

Within the Faculty of Science and Engineering, the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence conducts research along several research areas, including Computational Mathematics and Mechanics.

Functieomschrijving

The Computational Mathematics group of the University of Groningen has one four-year PhD position on imaged-based numerical modeling of the cardiovascular system. The position are embedded in the project “CardioZoom: High-Fidelity Cardiovascular Modeling from super-fast Magnetic Resonance Imaging”, a 1.5M Euro, 5-year ERC-Starting Grant awarded to Dr Cristóbal Bertoglio by the European Research Council.Therefore, the PhD candidate will join a vibrant and collaborative research group, with access to a large, (inter-) national and multidisciplinary scientific network.

Context and relevance of the project
Biophysical computational models of the cardiovascular system need to be adapted to each particular patient from clinical data. The state-of-the-art imaging method for assessing cardiovascular diseases is Magnetic Resonance Imaging (MRI), which is hence the preferred source of data for the personalisation of the models. However, MRI is still not able to image reliably the kinematics of thin structures like cardiac valves and the arterial wall. Moreover, MRI measurements of the 3D kinematics of the heart are a challenging task. These restrictions hamper the clinical translation of patient-specific modeling. Therefore, a new paradigm for model personalisation is urgently needed. The ambition of CardioZoom is to propose novel methods for biophysical parameter estimation in computational models of the heart, large vessels and valves using MRI data acquired in very short scan times. The approach will be based on the deep integration of imaging and biophysical principles, relaxing the constraints of standard cardiovascular imaging implying long MRI scans. Validations using experimental and volunteers’ data will be performed. The findings of CardioZoom will allow obtaining clinically feasible, detailed characterisations of the cardiovascular system.

PhD research topic
The goal of the proposed doctoral research is to develop super-fast MRI measurement strategies — using optimal measurement design theory — to estimate mechanical properties of cardiovascular tissue (blood vessels and heart).

Therefore, the sucessful candidate will gain expertise in numerical mathematics, computational fluid and solid mechanics, inverse problems, and medical imaging, areas where our group is internationally recognised.
The Graduate School also offers a training plan tailored to the background and interests of the candidate. The position involves a small teaching load (about 0.1 FTE, which may include supervision of student projects) in topics related to the research project.

Functie-eisen

We look for talented and dedicated candidates with an MSc degree (or equivalent) in Applied/Computational/Technical Mathematics. The candidate has to possess excellent communication skills in English and be enthusiastic to work in a team.

Strong programming experience in Python or other similar language is a must. It is also mandatory to have proved experience in implementing, analysing and critically assessing numerical methods fluid and/or solid mechanics problems, e.g. through an outstanding performance during the Master’s project.

Knowledge of inverse problems and/or medical imaging is an advantage, but can be acquired during the project. The ideal candidates will also have a deep commitment to interdisciplinary work and highly motivated for biomedical applications.

Arbeidsvoorwaarden

We offer you in accordance with the Collective Labour Agreement for Dutch Universities:

  • a salary of € 2,395 gross per month in the first year up to a maximum of € 3,061 gross per month in the fourth year for a full-time working week
  • a holiday allowance of 8% gross annual income an 8.3% year-end bonus
  • a temporary assignment for a period of four years. First, you will get a temporary position of one year with the perspective of prolongation with another three years. Before the end of the first year, there will be an evaluation as to the feasibility of successful completion of the PhD thesis within the next three years.

The latest start of the appointment is 1 September 2021

Sollicitatie

You may apply for this position until 16 May 11:59 pm / before 17 May 2021 Dutch local time by means of the application form (click on “Apply” below on the advertisement on the university website).

Please upload your complete application in English as a single PDF-file.

The submission should contain the following:

1. a full curriculum vitae
2. a cover letter explaining your motivation to join the project
3. contact information of two references, which must include the thesis supervisor.
4. a complete record of Bachelor and Master courses (including grade transcripts and the explanation of the grading system at your university).

We are an equal opportunity employer and value diversity at our University. We are committed to building a diverse faculty so you are encouraged to apply. Our selection procedure follows the guidelines of the Recruitment code (NVP), https://www.nvp-hrnetwerk.nl/sollicitatiecode/ and European Commission’s European Code of Conduct for recruitment of researchers, https://euraxess.ec.europa.eu/jobs/charter/code

Unsolicited marketing is not appreciated.

Informatie

Voor informatie kunt u contact opnemen met:

Dr Cristóbal Bertoglio,   c.a.bertoglio@rug.nlCardiovascular Mathematics Team

录取要求

  • We look for talented and dedicated candidates with an MSc degree (or equivalent) in Applied/Computational/Technical Mathematics. The candidate has to possess excellent communication skills in English and be enthusiastic to work in a team.
  • Strong programming experience in Python or other similar language is a must. It is also mandatory to have proved experience in implementing, analysing and critically assessing numerical methods fluid and/or solid mechanics problems, e.g. through an outstanding performance during the Master’s project.
  • Knowledge of inverse problems and/or medical imaging is an advantage, but can be acquired during the project. The ideal candidates will also have a deep commitment to interdisciplinary work and highly motivated for biomedical applications.

项目概览

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截止日期 2021-05-16
格罗宁根大学

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格罗宁根大学是荷兰历史第二悠久的大学。
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