ESBiomech24 Congress in Edinburgh

Senior Lecturer and Theme Lead in AI for Health @University of Sheffield

The Centre for Machine Intelligence (CMI) at The University of Sheffield wish to recruit a Senior Lecturer (Grade 9, equivalent to Associate Professor) in AI for Health.

The CMI is a strategic initiative supported by a £3.64m investment, dedicated to the transformation and acceleration of research, innovation, and teaching on and with AI. This position is one of four academic theme lead appointments. You will work across the CMI and related institutes (the Insigneo Institute and the Healthy Lifespan Institute) for the first three years of the post, after which you will join a School in the Faculty of Health or Faculty of Engineering appropriate to your disciplinary background and expertise.

AI for Health is a key research theme at the University of Sheffield. The recent award of a £4m EPSRC Digital Health Hub offers many opportunities at the interface of AI and health technology, and the University has invested £1.6m in Data Connect, a service to broker access to health data for research. We have strong links with one of the largest NHS trusts in the UK – Sheffield Teaching Hospitals NHS Trust – and with the Sheffield Children’s NHS Foundation Trust. World-class research is undertaken on a broad range of areas including in-silico modelling, digital twins, cancer, cardiovascular disease, medical imaging, health economics/decision science, neuroscience, infection/immunity, and public health.

You will have a background in computational research with digital healthcare data, with a track record in machine learning/AI methodology and its application. You will have direct experience of interdisciplinary collaboration using data from across healthcare sectors. You will have the skills to provide leadership in AI and health, and to work with other theme leads and the Centre Director to ensure that the CMI is at the forefront of AI research, innovation, and impact, nationally and internationally.

More information and application:

PhD Position Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins @TU Delft

We are looking for a motivated and independent PhD candidate to develop highly efficient and robust surrogate models of a multi-scale cardiovascular ‘digital twin’ modelling platform.

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 on This research is part of the VITAL project (, 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.

More information:

New 4-year PDRA position @ University of Glasgow

deadline 11th July 2024

The University of Glasgow is offering a unique opportunity for a Research Associate to make a leading contribution to the Centre for Future Percutaneous Coronary Intervention Planning.  The vision of the Centre is to develop novel and robust mathematical and statistical methodologies, supported by large clinical data sets, to create computational tools for optimisation of cardiovascular procedures. Based within the James Watt School of Engineering, you will work closely with colleagues from Mathematics & Statistics, Cardiovascular & Metabolic Health and Politecnico di Torino, as well as several leading international clinical centres and medical devices/imaging companies. 

You will work on the development of a range of mathematical models and their numerical solution, covering areas including patient geometry reconstruction, fluid-structure interaction, soft tissue mechanics, growth and remodelling and multiphysics modelling. You should have a PhD, or have equivalent experience, in Applied Mathematics, Physics, Computational Engineering, or a related discipline. You should have theoretical and practical knowledge of building multiphysics mathematical models and numerically solving them. Experience in patient geometry reconstruction from medical imaging, soft tissue mechanics and fluid-structure interaction modelling would be desirable.

You will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project, as opportunities allow.

For more details on the vacancy (147648) and to apply,  please visit the university webpage here:

Informal enquiries about the role are welcomed, and should be addressed to Dr Sean McGinty,

Join the VMHTsOP project!

Four Research positions available at Insigneo (University of Sheffield) to join the “Virtual Mouse and Human Twins for optimising Treatments for Osteoporosis (VMHTsOP)” project!
The VMHTsOP project aims at developing the first inter-species Virtual Mouse-Human Twin for predicting bone adaptation over time and optimise biomechanical and/or pharmacological treatments for Osteoporosis. It is a 5 years project that will start in September 2024, led by Prof Enrico Dall’Ara at the University of Sheffield, Division of Clinical Medicine and Insigneo institute. The project has been selected by ERC-consolidator grant and funded by the EPSRC through the EU Guarantee fund.
Don’t miss the opportunity to join the team for this exciting research project!

Current Available Positions:
Research Associate (PostDoc) in “Preclinical musculoskeletal imaging and biomechanics”; 3yrs; start in Sep 2024; closing date applications 4th June 2024
Research Associate (PostDoc) in “Computational musculoskeletal biomechanics”; 3yrs; start in Sep 2024; closing date applications 4th June 2024
Research Technician with expertise in imaging and histology; 3yrs; start in Sep 2024; closing date applications 4th June 2024
PhD student in “A biochemo-mechano multi-scale computational model to predict bone adaptation over space and time”; salary and fees (for UK students) for 3.5yrs; start in Oct 2024; closing date applications 10th June 2024
For any enquiries, please contact Prof Enrico Dall’Ara at

Summary of the project
Eighty per cent of pharmaceutical interventions fail in patients even after being successful in animal studies. Musculoskeletal (MSK) diseases such as osteoporosis (OP) reduce dramatically the quality of life of millions of affected patients. Mice are the most common animal model to test new treatments. Nevertheless, the extrapolation of their effect onto patients and the identification of which new treatments should be tested in clinical studies is based on simple scaling approaches.
In this project we will develop a new mechanistic computational framework that bridges between mouse and human, informed by in vivo experiments in mice, to discover optimal treatments in patients. We will create two parallel virtual mouse and human twins (VMHTs-OP), based on similar inputs (biomedical images, cell data, gait data) that will predict bone adaptation in function of biomechanical and/or biochemical stimuli. Each virtual twin will be based on advanced multi-scale computational models (multi-body dynamics, finite element and cell-population models) to predict bone adaptation over time and space due to OP and to new biomechanical and pharmacological treatments, identifying in silico the new combined treatments that are likely to be effective in patients, to be tested in future clinical trials.
The models will be going through a comprehensive verification, validation and uncertainties quantification process in order to provide the required credibility for future preclinical applications. The model predictions will be validated against longitudinal mouse experiments and available longitudinal clinical data from known biomechanical or pharmacological interventions. Finally, the validated framework will be used to test in silico several combinations of treatments regimens (overlap, intermitted, drug holidays) and different interventions (microgravity, high strain exercises) that would not be ethically nor economically testable in animal and clinical trials.

Postdoc-Position in Biofabrication @Clausthal University of Technology

The Institute for Materials Science and Engineering at Clausthal University of Technology is pleased to announce a postdoctoral position available for one + three years (1+3 years) which we wish to fill as soon as possible. We welcome applications from individuals who are motivated, enthusiastic, and collaborative, demonstrating a commitment to developing solutions for pressing global challenges. The salary scale for this position is EG 13 TV-L aligning with the German collective labour agreement (indicative gross monthly salary range is €4,188.00 – €6,037.00 depending on experience). This opportunity is suitable for part-time work and is crafted as a qualification position for early career postdocs. However, we encourage outstanding candidates, including those without a PhD, to explore the opportunity to pursue a doctorate at Clausthal University of Technology.

The Institute for Materials Science and Engineering at Clausthal University of Technology has a strong application focus in Research and Teaching. The working group Digitalisation in Materials Science and Engineering has a focus on biologic, architectured materials and engineered living materials. The prospective candidate should strengthen this area so that we seek a candidate with a background or interest in biological tissues.

In year one, the successful candidate will support development of an EU consortium application. This includes the opportunity to start up their own research along an existing project which will commence in full from year two onwards with research in microfluidic devices, biofabrication, and bioprinting. You will find key duties, a description of your profile, what we offer, contact details, and how you can apply under We review applications on an ongoing basis and close this advert as soon as we have found a suitable candidate. Please do not hesitate to contact us if you have any questions. We look forward to hearing from you!

More information:

Post-doctoral position on “Bone behavior around a self-tapping dental implant during its insertion, analysed through synchrotron radiation-based fast computed tomography” @INSA Lyon

INSA Lyon is inviting applications for a postoctoral position on the analyses of dental implant insertion into bone based on microcomputed tomography.

The candidate mission will be to analyze this data set of Sr-μCT scans in order to better
understand the influence of the implant geometry on bone biomechanical behavior during
insertion. Bone morphological characterizations will be held to follow the formation of debris
and the bone volume fraction around the implant. Digital Volume Correlation will also be
applied to follow peri-implant bone strain development during the insertion.

Requested skills:
The post-doctorate candidate must have a strong experience in the manipulation and
processing of volumetric data. Skills in computer languages such as Python or Matlab will be
needed for the further treatment of the data. Some knowledge in biomechanics are preferable
as a digital volume correlation algorithm will be use to investigate bone strain/stress behavior
during implant insertion.

More information:

4 positions at the Institute of Medical and Biological Engineering (IMBE) in Leeds, UK

The Institiute of Medical and Biological Engineering (IMBE) in Leeds, UK, is currently recruiting for 4 positions:

  1. researcher (research fellow requiring a PhD or research assistant requiring a Master) in computational damage biomechanics: (for the research assistant role, check your UK working eligibility by contacting
  2. post-doctoral research (research fellow requiring a PhD) in knee and hip biomechanical evaluation:
  3. PhD student in spine biomechanics:
  4. PhD student in bone healing:

All details of application processes are available on the respective links, deadlines within the next month.

The multi-disciplinary IMBE is embedded within the School of Mechanical Engineering and the Faculty of Biological Sciences at the University of Leeds. It is a dynamic world-renowned medical engineering research centre which specialises in research and translation of musculoskeletal and cardiovascular medical technologies that promote ’50 active years after 50’.

As a researcher or PhD student within IMBE, there will be opportunities to contribute to wider activities related to medical technologies including public and patient engagement, group training and social events. Groups of researchers working on aligned projects or using similar methods meet regularly to share ideas and best practice, and we encourage collegiate working. We will support your long-term career ambitions through bespoke training and encourage external secondments, laboratory visits or participation at international conferences.

10 PhD positions in the Europe Horizon Marie Skłodowska-Curie Project REBONE

REBONE is a four-year Doctoral Network, funded by the Europe Horizon Marie Skłodowska programme, aiming at innovatively training a new generation of researchers to develop a multidisciplinary optimization process aimed at providing technologies for personalized bone-substitute implants, based on bioactive ceramics to address the health and societal burdens of trauma and bone diseases.

The musculoskeletal system is extremely vulnerable to ageing and traumatic events, and common clinical conditions often impose a high burden on the clinical system. For patients requiring bone-substitute implants to treat critical-size bone defects, new solutions are needed to address important unmet needs: personalised solutions for better clinical outcomes; improvements in materials to ensure higher mechanical reliability without compromising bioactive and bioresorbable properties; optimised manufacturing technologies for materials and products of high reliability and quality.

In order to achieve these ambitious goals REBONE is about to open 10 fully funded PhD positions to  construct a platform of computational tools that will enable clinical experts to produce customized bone graft substitutes for the treatment of critical-size bone defects. This innovation will ensure that an ideal treatment solution is found on a patient-specific basis in terms of:

  • mechanical and mechano-biological performance,
  • surgical implantability, and
  • manufacturing process reliability.

Furthermore, REBONE will develop state-of-the-art in silico models based on advanced computational methods and advanced characterisation and validation techniques to obtain personalised implants with a surgical planning visualization system in mixed reality with the following characteristics:

  • tailored and reliable mechanical and physical properties;
  • best osteointegration capability;
  • targeted mechanical, physical and mechano-biological functions with patient-specific constraints taking into account the load-bearing anatomical location. Four selected clinical cases will be used as demonstrators of the optimization design and manufacturing processes.


Complete list of the 10 Doctoral positions available within REBONE:

  1. Position 1: Methods for optimization of bone-substitute architectures (Politecnico di Milano, Italy);
  2. Position 2: Micro- and macro-mechanical characterization of materials and devices and in-silico Models (Politecnico di Milano, Italy);
  3. Position 3: 3D printing technologies for Glass-Ceramic and Glass-Ceramic-based composite BTE scaffolds (Politecnico di Torino, Italy);
  4. Position 4: Tissue-scaffold biological interaction (Università del Piemonte Orientale, Italy)
  5. Position 5: Design of bone inspired scaffolds and biomechanical characterization of the bone-scaffold construct (Université de Liege, Belgium)
  6. Position 6: Industrial process for glass-ceramic device manufacturing through VPP (Lithoz GmbH, Austria)
  7. Position 7: Characterization of fracture relevant bone sites for information on the structural/compositional requirements of the implant (Ludwig Boltzmann Institute, Austria)
  8. Position 8: Models for Tissue growth and fundamental relationships with micro-architecture of scaffolds (University of Salzburg, Austria)
  9. Position 9: Biomimetic in vitro culture models for evaluation of novel bone substitute implants (University of Belgrade, RS)
  10. Position 10: Mixed reality for planning of implant surgery for bone defects of irregular shapes (MEDAPP SPÓŁKA AKCYJNA, Poland)

For info and application procedure please visit the project website and here:

Symposium – Theoretical and numerical developments in cellular mechanobiology – June 3 – 5 2024

We are very pleased to invite you to attend “Theoretical and numerical developments in cellular mechanobiology”, an international symposium supported by IUTAM and organized by the University of Seville (Spain). The symposium will be held during June 3 – 5 2024. In this symposium, different experts will review state-of-the-art theoretical and numerical methodologies in cellular mechanobiology. Different topics like numerical methods in mechanobiology, quantification of cellular forces or mechanics of living tissues and artificial substrates (although not restricted to) will be covered. The event will be an excellent opportunity for researchers to discuss open problems in this topic, to share different visions in this field, and to create synergies that propose solutions from our community to advance in biology and biomedicine.      

More information, including an extensive list of confirmed  keynote speakers can be found here:

Feel free to spread this within your research group and network,
Looking forward to meet you in Seville,
On behalf of the Organizing Committee

José A. Sanz-Herrera. University of Seville, Seville, Spain.
Hans Van Oosterwyck. KU Leuven, Leuven, Belgium.

Abstract submission deadline: February 29 2024
Abstract acceptance communication: March 22 2024
Registration deadline: May 27 2024
Symposium dates: June 3-5 2024

Postdoc position on the Evaluation of Interactions between Motorcyclist, Airbag and Safety Barrier via Numerical Simulations @ Université Gustave Eiffel (Lyon or Marseille, France)

The objective of this joint project (LBA & LBMC) is to integrate the barrier impact into the airbag evaluation processes of the previous REGAM project. This objective thus feeds two strategic issues:

– Quantify the combined effects of wearing an airbag vest and of a safety barrier with or without a motorcyclist screen to reduce the risk of injury during an accident (definition, analysis and choice of injury criteria in a reference case).

– Identify the area of protection (gain/limits) offered by regulatory barriers for different impact situations with the motorcyclist (sensitivity analyses).

To do this, it is a question of establishing a crash numerical modeling combining motorcyclist, motorcycle, airbag and restraint device, based on the previous work on the subject at LBA and LBMC.

More details can be found here:

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