The 27th Congress of ESB will be held in Porto, Portugal. The congress will take place at the Alfandega Porto Congress Center, situated in the heart of Porto’s historic city centre, from 26-29 June 2022.
For more information esbiomech2022.org.
We are looking forward to receiving your contributions and to welcoming you at ESB2022 in Porto!
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:
The Institute for Materials Science and Engineering at Clausthal University of Technology is pleased to announce a postdoctoral position available for three years, with the potential for extension by an additional three years. 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, family status, etc.). This opportunity is suitable for part-time work and is crafted as a qualification position for 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 strategically so that we seek a candidate with a background or interest in biological tissues.
You will find key duties, a description of your profile, what we offer, contact details, and how you can apply under https://tinyurl.com/ycxf74te. 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!
The Cardiovascular Biomechanics Group at Erasmus Medical Center / TU Delft has two PhD positions available currently, both on atherosclerotic arterial wall biomechanics, one experimental and the other one computational.
Further info can be reached at https://aliakyildiz.net/vacancies/.
Application for the openings:
Position 1.) https://www.werkenbijerasmusmc.nl/en/vacancy/95506/phd-position-field-computational-vascular-biomechanics-48.24.23.tt
We are offering a 4-5-year postdoctoral position for our research line Computer methods for modeling based on finite elements and agents in multiscale simulations, within the context of the O-Health project. O-Health is a Consolidator grant from the European Research Council, awarded by the European Commission in the framework of the HORIZON Action (PREUR02822 – HEu – ERC – CoG – O-Health – 101044828) It is directed by Prof. Jérôme Noailly, from the BCN MedTech research unit of the Department of Information and Communication Technologies (DTIC), Pompeu Fabra University (UPF), Barcelona, Spain.
The researcher will be responsible for the development of the multiscale simulation platform of the O-Health project, combining finite element (organ/tissue level) and agent-based (multicellular models) models and solvers.
The researcher will gradually become responsible for the conversion of models based on the physics and biology of the BMMB, into interoperable tools within automated simulation flows, through bottom-up and top-down modeling. Likewise, he will execute and be responsible for the conversion of the models based on the physics and biology of the BMMB, into interoperable tools within automated simulation flows, for the bottom-up and top-down modeling of O-Health. You will define, program and implement workflows using and adapting existing free and open solutions, such as SBML, HDF5 and MUSCLE.
The researcher must check that the project deadlines and deliverables are met, and that the project results can be adequately disseminated through scientific media, congresses and medical journals, as well as periodically report to the PI.
Application deadline: 21/12/2023
More information:
We are hiring two ambitious and curious post-doctoral researchers in computational modeling of tendons. This position is within the ERC-funded project (Tendon_MechBio) with the scope to elucidate how mechanical loading affects tendon mechanics and tendon regeneration. The modeling will be based on unique experimental data collected within the team. We would like to employ two postdoctoral researchers with the following two aims.
Applicants can present preferences between aim 1 or 2, or state interest in both options.
The link to the full advertisement and application system is below:
https://lu.varbi.com/en/what:job/jobID:673035/
Application deadline: 7th December
Are you looking for an exciting PostDoctoral post in Experimental Bone/Spine mechanics?
Join us at Insigneo to work with Dr Enrico Dall’Ara and Prof Damien Lacroix on the recently EU funded METASTRA project!
This highly interdisciplinary post-doctoral position will advance our understanding of the biomechanics of metastatic spine and will create an experimental database for the validation of computational models for assessing metastatic vertebrae before and after treatment.
The position is within Insigneo and is funded as part of Horizon Europe/Innovate UK research project METASTRA (https://www.metastraproject.eu/) that aims to provide a combination of computational models biomechanically validated and demonstrated in relevant clinical environments that will be incorporated in a clinical decision support system.
This part of the project is focused on model validation using state of the art mechanical testing combined with imaging and digital volume correlation.
You will have an excellent PhD in biomechanics (or a related discipline), possess a solid knowledge of bone imaging and experimental biomechanics.
Ensuring the achievement of the project objectives will advance the vision of the Insigneo institute to validate computational models for the musculoskeletal system and produce a transformational impact on healthcare.
The PDRA will also sustain and strengthen collaboration within relevant Insigneo research groups and beyond; and will commit to Insigneo’s mission to produce high quality and impactful cutting-edge research. You will join the group of Dr. Enrico Dall’Ara and Prof Damien Lacroix. Our biomechanics group within the Department has an international and interdisciplinary profile and a strong commitment to clinical and industrial translation with impact in future healthcare. We are active in biomechanics and mechanobiology of the neuromusculoskeletal systems. We have access to a fully equipped human movement analysis laboratory, a tissue testing/mechanobiology laboratory, and to ex vivo and in vivo microCT imaging facilities
Deadline applications: 6th December 2023
Tentative Start: 1st March 2024
Duration: 3 years
Applications are invited from suitably qualified candidates for multiple full-time, fully-funded positions that will investigate the mechanobiology of tumour growth and therapy resistance. These positions are funded by a European Research Council Starting Grant and will be under the supervision of Dr Eoin McEvoy, Assistant Professor in Biomedical Engineering. The researcher will join Dr McEvoy’s group, which brings together expertise in biophysical modelling, active cell biomechanics, and in-vitro tumour models. The group’s overall focus is to develop advanced computational and experimental models that provide a mechanistic understanding of cell and tissue remodelling in cancer and disease, motivating novel mechano-therapeutics and treatment strategies. For further information, see www.mechanomodel.ie.
Project Description: Personalised medicine presents an exciting frontier in healthcare that tailors disease mitigation and intervention to an individual patient. This project will develop integrated experimental and computational models for the prediction of cancer patient outcomes, leveraging the biophysical forces that underpin cell behaviour. PhD research topics will bridge subcellular remodelling, single cell mechanobiology, and macroscale tumour evolution to provide a new and fundamental understanding of tumour growth and therapy resistance in breast cancer. As part of the PhD programme (project dependent), you will receive training in computational and experimental cell mechanics, patient-derived tumour organoid generation, microfluidic cell culture, advanced microscopy, agent-based modelling, and/or advanced finite element analysis.
Application Deadline: Applications will be reviewed periodically until January 31st, 2024.
More information:
We have an open PhD position at Lund University, Sweden, with focus on developing FE based simulation models for breast compression during mamography with implications for breast cancer diagnostics. Please see the link below for more information!
https://lu.varbi.com/en/what:job/jobID:662804/type:job/where:4/apply:1
I am looking for motivated students to join my research group and work towards their PhD in the area of computational cardiovascular biomechanics. Interested candidates are encouraged to email ankush.aggarwal@glasgow.ac.uk to discuss further. More details of the PhD position are provided below.
Project Summary: Almost 30% of all deaths globally are related to cardiovascular diseases. The overall aim of computational cardiovascular biomechanics is to help improve the diagnosis of these diseases (faster, earlier, more precise), provide better surgical outcomes, and design devices that last longer. To achieve that aim, we study the biomechanical properties of tissues and cells comprising the cardiovascular system using a combination of in-vivo imaging, ex-vivo and in-vitro testing, and in-silico modeling. Several project topics are available, which can be categorized into model development (at organ and cellular scales) and method development (based on imaging and using data science approaches). A few examples of specific projects are:
1) Predicting aneurysm development from ultrasound images using growth and remodeling simulations
2) Modeling of endothelial cells based on in-vitro experiments
3) Uncertainty quantification of biomechanical properties based on combined ex-vivo and in-vivo dataset
4) Gaussian process modeling for cardiovascular tissue mechanics
5) Development of a digital twin of the thoracic aorta
During this project, the student will have opportunities to:
Eligibility: Candidates must have an undergraduate degree in a relevant field, such as Mechanical Engineering, Biomedical Engineering, Civil Engineering, Mathematics and Computing Science, with a minimum 2.1 or equivalent final grade. A background in mechanics and knowledge of numerical methods (such as finite element analysis) would be necessary. Programming skills will be required for computational modeling.
Application: The deadline for applications is 31 January 2024, and the application process consists of two parts:
1) On-line academic application: Go to https://www.gla.ac.uk/postgraduate/research/infrastructureenvironment/ and click on the ‘Apply now’ tab. Applicants should attach relevant documents such as CV, transcripts, references and a research proposal.
2) School of Engineering EPSRC/School Scholarship Application via online portal: https://www.gla.ac.uk/ScholarshipApp/]gla.ac.uk/ScholarshipApp/ To complete the scholarship application, students will need a supporting statement from the proposed supervisor. Any queries about application procedure can be directed to eng-jws@glasgow.ac.uk
Further information: If you are interested or want more information, please contact me at my email (ankush.aggarwal@glasgow.ac.uk) before starting the formal application. Please visit Computational Biomechanics Research Group page or my staff page for more information on our research.
The recent advent of deep learning (DL) has enabled data-driven models, paving the way for the full exploitation of rich image datasets from which physics can be learnt. Here at the University of Greenwich we recently developed a novel data-driven image mechanics (D2IM) approach that learns from digital volume correlation (DVC) displacement fields of bone, predicting displacement and strain fields for undeformed X-ray computed tomography (XCT) images [1]. This was the first study using experimental full-field measurements on bone structures from DVC to inform DL-based model such as D2IM, which represents a major contribution in the prediction of displacement and strain fields only based on the greyscale content of undeformed XCT images. The proposed PhD project will expand on this work to further develop D2IM capability by incorporating a range of biological structures (hard and soft tissues) and loading scenarios for accurate prediction of physical fields.
The project will benefit from a unique InCiTe 3D X-ray microscope from our partner KA Imaging (https://www.kaimaging.com/industry-and-research-solutions/incite-micro-ct/) capable of sub-micron resolution and fast phase-contrast (first and only technology of this type in Europe), including in situ mechanics and dedicated software solutions available at the Centre for Advanced Materials and Manufacturing (CAMM) as well as the Centre for Advanced Simulation and Modelling (CASM).
The PhD candidate will be involved in the following work:
[1] Soar and Tozzi, 2023. Data-driven image mechanics (D2IM): a deep learning approach to predict displacement and strain fields from undeformed X-ray tomography images – Evaluation of bone mechanics. https://www.biorxiv.org/content/10.1101/2023.09.21.558878v1
