代尔夫特理工大学  PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins

TU Delft | Faculty Mechanical Engineering



Job description

A cardiovascular digital twin is a physics-based computer simulation that models an individual's health and disease states to aid decision-making. These high-fidelity models are often computationally expensive, limiting their personalization and real-time clinical use. In this project, we aim to develop highly efficient data-driven surrogate models for parametrized partial differential equations, with application to computational cardiology.

In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust surrogate models of cardiovascular digital twins. These surrogate models will be used to enhance personalized treatment planning and post-treatment monitoring for patients suffering from circulation overload disorders, specifically systemic hypertension, heart failure (with/without preserved ejection fraction), and hemodynamically complicated atrial septal defects.

The research will be conducted in the Department of BioMechanical Engineering at Delft University of Technology (TU Delft) under the supervision of dr. ir. Mathias Peirlinck. The Peirlinck Lab integrates multimodal experimental data, physics-based modeling, and machine learning techniques to understand, explore, and predict the multiscale behavior of the human heart and cardiovascular system. More information on the research and team can be found onhttps://peirlincklab.com. This research is part of the VITAL project (https://vital-horizoneurope.eu/), a large international collaboration developing a comprehensive, clinically validated, multi-scale, multi-organ ‘digital twin’ modelling platform that is driven by and can represent individual patient data acquired both in the clinic and from wearable technology.

Prior experience in both scientific machine learning and numerical analysis of PDEs and ODEs is required. In addition, experience in the field of cardiac modeling, arterial modeling, (soft tissue) biomechanics, and/or electrophysiology will be strongly appreciated. As the successful candidate for this position, you will develop scientific machine learning algorithms, develop and run high-performance computer simulations, construct pipelines for model personalization to structural and functional data, and develop APIs between various software codes.

You will actively participate in (bi)weekly lab meetings, write scientific articles and reports, and give presentations and workshops at national and international conferences. Besides your research activities, you will also take part in teaching and supervision activities within the Faculty of Mechanical Engineering of Delft University of Technology and beyond.


  • You have demonstrable experience with scientific machine learning and numerical analysis towards solving PDEs and ODEs on complex domains.

  • Affinity with nonlinear continuum mechanics, finite element analysis, cardiovascular modeling, computational (soft tissue) biomechanics, cardiovascular (patho)physiology is appreciated.

  • You have an excellent master’s degree (or an equivalent university degree) in Computational Physics, Applied Mathematics, Aerospace Engineering, Mechanical Engineering, Applied Physics, Biomedical Engineering or a related field.

  • You are a highly independent, motivated, and innovative individual.

  • You have a strong research-oriented attitude.

  • You are a quick learner, can effectively communicate scientific ideas, and foster collaborations in a highly multidisciplinary team.

  • You have excellent spoken and written English* language skills (minimum C1 level).

Please highlight your specific skills and relevant prior experiences for this position explicitly in your motivation letter. Motivation letters that do not address any of these requirements will not be considered.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check theGraduate Schools Admission Requirements.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has theComing to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers aDual Career Programmefor partners and they organise events to expand your (social) network.

Application procedure

Are you interested in this vacancy? Please apply before15 July 2024via the application button and upload:

  • A 1-2 pages cover letter, explaining in a clear but concise way your motivations to apply to this position and how your CV and expertise fit the requirements.

  • Curriculum vitae.

  • A copy of your master’s degree, including transcripts for your qualifying degrees (BSc, MSc).

  • The contact information of two (academic and/or industrial) referees.

  • It is highly recommended to include samples of your work (a digital copy of your MSc thesis, reports, previous publications, videos, code, etc.).

Please note:

  • Only complete applications will be considered.

  • Screening of applicants will start as soon as applications are received and will continue until the position is filled.

  • A pre-employment screening can be part of the selection procedure.

  • You can apply online. We will not process applications sent by email and/or post.

  • Please do not contact us for unsolicited services.


PhD student in sustainable aqueous batteries

Uppsala University| Department of Chemistry


About the Project

The Department of Chemistry - Ångström conducts research and education in the chemistry field. The department has more than 270 employees and has a turnover of 290 million SEK. At the department's six programs, we conduct very successful research of a high international standard.

We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on ourwebsite: (https://kemi.uu.se/angstrom/?languageId=1).

Future grid energy storage technologies must rely on abundant materials sourced from energy-efficient and environmentally friendly processes. Aqueous batteries based on widely available elements such as Na, Fe, and S hold considerable promise but face significant challenges with electrolyte degradation whereby the hydrogen evolution reaction (HER) is particularly notable. Several HER mitigation approaches are however emerging. The research project is dedicated to developing and implementingoperandoH2 gas analysis to investigate HER in aqueous batteries. Molecular electrolyte additives capable of suppressing HER will be identified and characterized to gain a fundamental understanding of their operating mechanisms. Performance testing and techno-economic analysis will be conducted to evaluate the most promising battery compounds.
The work will be carried out mainly at Ångström Advanced Battery Centre (ÅABC), which is housed within the Ångström Laboratory – one of Europe’s best equipped Materials Research Laboratories.

ÅABC involves the full-time activities of >80 researchers, of whom 8 are Senior Staff; the remainders are PhD students, postdocs, researchers and assistant professors. The group produces ca. 5 PhD theses annually. It is the leading research environments for the development of electrochemical storage materials and advanced battery technology in the Nordic countries. The focus of research is on modern commercial and next- generation Li-ion batteries, and future battery chemistries such as Na-ion, Li-S,organic electrodes, solid- state, etc. The expertise lies in synthesis of electrode and electrolyte materials and electrochemical testing, but equally important are the development and application of operando characterization, such as vibrational spectroscopy, mass spectrometry, x-ray photoelectron spectroscopy, diffraction, etc. and combinations of them.


We are looking for a highly motivated and ambitious student for this challenging project. The student will design, plan, and execute the experimental work, often in collaboration with colleagues, critically analyze and discuss the results, and disseminate the work orally at scientific conferences and written in the form of papers in peer-reviewed journals. Finally, the student is expected to be a good team player, and also participate in all mandatory group activities, including becoming the responsible person for specific lab equipment.


The student should have a background in chemistry, physics, material science, chemical engineering or equivalent. In addition, the student is expected to have

  • been awarded a Master’s degree in one of these subjects, or
  • satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or has acquired essentially equivalent knowledge in some other way in Sweden or abroad.
  • excellent oral and written proficiency in English.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development. Experience in electrochemistry, material characterization, and/or programming is beneficial.

About the employment

The employment is atemporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 2024-08-01 or as agreed. Placement: Uppsala.

For further information about the position, please contact:Erik Berg, erik.berg@kemi.uu.se.

Please submit your application by 20 June 2024, UFV-PA 2024/1865  









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