Blog Archives

PhD position on Computational model of guided growth in immature skeleton for custom-made correction of deformities @Universitat Pompeu Fabra

Limb deformities in children motivate frequently pediatric orthopedic consultations, because of angular (genus valgus / varus), torsional (internal / external torsion) or longitudinal (leg length discrepancy) bone growth disorder, or combinations thereof. We currently apply guided growth techniques with implants that temporarily block the physis. These techniques correctly solve genu valgus but are not as effective for genu varus or leg length discrepancy and are not effective for torsional or combined deformities. In addition, these techniques often lead to complications such as the emergence of deformities in other planes or the change of epiphyseal joint shape.

The objective of the present PhD project is to create a computational model of physical growth that allows to customize the treatment of a specific deformity through individualized designs of implant and the ability of the devices to correct the deformity with the greatest efficiency and the shortest time. It is part of a larger scale project that combines the physeal surgery in experimental animal (pig) and computer developments for the simulation model of physial growth, in collaboration with the children Hospital Sant Joan de Deu (SJDD), Barcelona.

The computational model development stands for the core of the proposed PhD thesis at BCN MedTech. It will combine image analysis and mechanobiological theories of epiphyseal bone growth, through finite element modelling, to simulate different growth guidance systems made of plates or screws. The model will be uniquely calibrated and validated against it ability to recreate and correct deformities against the experimental animal model. Eventually, it will be transferred to the physiological characteristics of the human bone, leading to a pipeline of models and simulations to properly plan the surgical correction of growth deformities in patients.

More information can be found here:

Application: Please send: · Full CV · motivation letter · two reference letters · Academic transcripts to jerome.noailly@upf.edu by August 31th, at the latest.

Post-Doctoral position in Mechanical multiscale modelling of the bone-implant interphase, @Université Paris-Est, France

We are looking for an enthusiastic and motivated post-doc to join the Biomechanics team in the Multi-Scale Modelisation and Simulation laboratory (MSME, Université Paris-Est, France). We propose a 1-year post-doc position to identify key relationships driving the (bio)mechanical response of the interphase, setting up a multiscale numerical model spanning the hierarchical scales of the biological tissue, in relation to experimental data.
More information:

Interested candidates are invited to contact Dr Sophie Le Cann and to submit their applications to sophie.le-cann@u-pec.fr (please include letter of motivation, CV, publication list, degree certificate, and name and contact information to at least one referee). The Postdoc is for 12 months, starting in the fall 2021 (oct-nov).

Happy Feet – Multi-scale models of the ankle-foot complex – postdoc position @KULeuven

Come join our team at KU Leuven! We are looking for a highly motivated postdoc candidate to work on our exciting in-vivo and in-vitro modelling of the ankle-foot complex using a combination of imaging-based MSK and FE modelling.

Full posting and application can be found at https://www.kuleuven.be/personeel/jobsite/jobs/60035284?hl=en&lang=en

and here:

PhD position in sports biomechanics @University of Rostock

The University of Rostock offers you a diverse, varied and challenging job in a tradition-conscious, innovative, modern and family-friendly university in a lively city by the sea. At the Faculty of Philosophy, Institute of Sports Sciences, Chair of Biomechanics we are offering the following position, subject to allocation of funds, as of 01.09.2021, for a limited period until 01.09.2024:

Field of activity

– Research on biomechanics and control of the human leg e.g. in rotational movements, lateral movements or also locomotion under perturbations with the aim of scientific qualification.

– Conduct experiments, modeling, and simulations as part of guided and independent research activities.

– Development of study designs and experimental setups in a new laboratory to be established.

– Optional construction of simple bouncing and walking robots to demonstrate theoretical concepts

– Publication of research results – Contribution to third-party funding research proposals

– Scientific teaching in an amount of 3 semester hours in theoretical and/or practical courses with a focus on research-based transfer of knowledge and skills in order to teach students to conduct independent scientific research

– Involvement in academic self-government

Recruitment

– Completed (or soon to be completed) academic studies (state examination, diploma, master’s degree or comparable degree) e.g. sports or exercise science, engineering, physics, mathematics or comparable studies with at least good results

– Experience with mathematical modeling and simulations

– Strong interest in the study of how the musculoskeletal system generates movement

– Confident knowledge of the German and English languages, both written and spoken

– Ability to work in a team, communication skills and interest in working in interdisciplinary work groups

– Personal relation to the field of sports

– Willingness to work seriously and with commitment on a project of one’s own scientific qualification.

More information:

Herr Prof. Dr. Christian Rode, christian.rode@uni-rostock.de

Application deadline: 30 June 2021

MSCA postdoctoral fellowship on mechano-immunotherapy @University of Zaragoza

A research proposal in the field of Mechano-Immunotherapy is offered under the Marie Sklodowska Curie Postdoctoral Fellowship programme at University of Zaragoza – Spain, within the Laboratory of Mechanical and Biological Engineering:

https://m2be.unizar.es

The topic for the proposed research is “Effectivity of cell-based immunotherapies under different mechanical microenvironments”.

WHO ARE WE?

The M2BE research group mainly focuses its activity on the development of new methodologies and technologies in the field of cell mechanobiology.

In this context, we work on the combination of different methodologies (computer simulation models, in-vitro experimentation and clinical validation), which result in the following lines of research: Computational design of prostheses and implants for personalized treatments, tissue engineering and mechanobiology, mechano-immunotherapy, mechanobiology of tumor growht and metastasis.

HOW TO APPLY?

Candidates will be pre-selected based on their expression of interest, CV and motivation.

They must have a demonstrated track in Cell-Based Immunotherapies with expertise engineering CAR-Ts, NKs and TILs.

There are 3 main requirements of eligibility:

Applicants must have a PhD and no more than 8 years of full time research experience*

Applicants can be of any nationality but must not have lived or worked in Spain for more than 12 months during the 3 years up to the closing date of the call 15 September 2021 (mobility rule)

The applicants must choose the University of Zaragoza as their Host Institution

Motivated postdoctoral candidates are encouraged to submit their application to m2be@unizar.es by June 15, 2021.

Selection process

Applicants should check that they fulfil all the eligibility criteria and then send an expression of interest consisting of: CV and letter of interest (max. 2 pages)

Expressions of interest must be submitted by email (m2be@unizar.es) by June 15, 2021. The title of the e-mail must be “MSCA application – MECHANO-IMMUNOTHERAPY– your name and surname“.

Proposals will be preselected on the basis of internal evaluation.

* The researcher must be, at the date of the PF call deadline (15.9.2021) in possession of a doctoral degree. At the call deadline, supported researchers must have a maximum of 8 years full-time equivalent experience in research, measured from the date that the researcher was in a possession of a doctoral degree. Years of experience outside research and career breaks (e.g. due to parental leave), will not be taken into account.

PhD in computational cardiovascular biomechanics @University of Glasgow

I am looking for motivated students to join my research group and work towards their PhD in the area of computational cardiovascular biomechanics.

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. The projects can be divided 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) Multiscale modeling of the heart muscle
2) Modeling of endothelial cells based on in-vitro experiments
3) Developing methods for biomechanical characterisation of tissues from ultrasound images
4) Designing optimal experiments for cardiovascular tissues under uncertainty

During this project, the student will have opportunities to:

  • Develop skills necessary to work at the interface of engineering and biomedical science
  • Publish papers in high-quality journals
  • Present research results at international conferences
  • Learn about nonlinear finite element analysis, nonlinear mechanics, multiscale modeling, image-based analysis, data science, and other numerical techniques
  • Learn about experimental and clinical validation
  • Collaborate with our international academic and industrial partners
  • Interact within the Glasgow Centre for Computational Engineering with other researchers (GCEC) and across departments with biomedical scientists and clinicians

Eligibility: Candidates must have an undergraduate degree in a relevant field, such as Mechanical Engineering, Biomedical Engineering, Civil Engineering or Mathematics, with a minimum 2.1 or equivalent final grade. A background in mechanics and knowledge of finite element modeling would be necessary. Programming skills will be required for computational modeling.

Application: The deadline for applications is 31 May 2021, 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) The scholarship application: Complete the application form found at the following webpage: https://www.gla.ac.uk/media/Media_766095_smxx.docx and attach a letter of support from a potential supervisor.  Both the application form and supporting letter should be emailed to eng-jws@glasgow.ac.uk

Further information: If you are interested or want more information, please contact me at ankush.aggarwal@glasgow.ac.uk before starting the formal application. Please visit Computational Biomechanics Research Group page for more information on our research.

PhD in health and technology @University of Bologna

Are you looking for a PhD in health and technology?  What about getting one from the oldest university in the world?

The PhD programme in Health and Technologies of the Alma Mater Studiorum – University of Bologna is a new, interdisciplinary PhD course that offers the opportunity to conduct three-year research projects on developing, applying, and validating innovative technologies in biomedical research and healthcare.

The academic board of the PhD school includes experts in bioengineering, biomaterials science, medical physics, computer science, medicine, biology, psychology, and law.  Each project targets applicants with either a degree in biomedical sciences or technical disciplines or both.  Regardless, each project is supervised by two supervisors, one active in the biomedical field, one in the technology field.

This year the deadline for applications is May 21st, 2021, and we have a number of scholarships higher than usual. 

To submit your application here: https://www.unibo.it/en/teaching/phd/2020-2021/health-and-technologies. For more information you can contact: claudio.borghi@unibo.it.

PhD position on Computer mechanobiology of mandibular reconstruction @Charité

A PhD position is available within the Computational Mechanobiology Group (Prof. Sara Checa) at the Julius Wolff Institute (Charité – Universitätsmedizin Berlin). This position is funded through a research grant from the German Research Foundation (DFG) to investigate the biomechanics of mandibular reconstruction with fibular free flap. The aim is to use computer modeling approaches supported by clinical data to understand the mechanical conditions promoting mandibular repair.


The successful candidate will have a strong background in one or more of the following areas: mechanics, computational biology and/or computational mechanics. Strong programming and computer modelling skills are required. The position is available for three years.


The work will be conducted in an interdisciplinary research environment composed of engineers, biologists and clinicians. As a PhD student, you will be associated to the Berlin-Brandenburg School of Regenerative Therapies (www.bsrt.de) and benefit from the interaction with international scientists.

Interested candidates should submit their curriculum vitae by 1st June, 2021. Applications should be sent to: Prof. Sara Checa (sara.checa@charite.de)

Postdoc position at TUEindhoven: Computational and experimental remodeling of heart valves

This vacancy is posted as part of RegMedXB, which stands for “Regenerative Medicine Crossing Borders”. RegMedXB is a virtual institute composed of universities, health foundations, governments and private companies in the Netherlands and Belgium. The partners work together to tackle some of the greatest challenges in regenerative medicine, while building a community of researchers and companies to realize health and economic benefits. The RegMedXB Cardiac Moonshot program aims at developing innovative strategies to regenerate the tissues of the heart, including the myocardium, heart valves and blood vessels.

The current project concentrates on preserving and regenerating heart valve function under non-physiological loading conditions. For this you will investigate the structural and biological remodeling of heart valves using a combination of experimental and computational research.
The experimental research will focus on establishing an ex vivo platform to investigate the remodeling and functionality of heart valves under various hemodynamic conditions.
The computational part focuses on simulating valve remodeling, with the aim of understanding and predicting experimental outcomes, and extrapolating findings to relevant in vivo situations.

If you are fascinated by the engineering aspects of regenerative medicine and eager to develop innovate models and strategies that will advance cardiovascular regeneration, we invite you to join us in this challenge. You will collaborate intensively with our partners in the RegMed-XB Cardiac Moonshot consortium, in particular with the University Medical Centers in Leiden and Utrecht on ex vivo tissue remodeling, and with other TU/e groups on computational modeling and tissue engineering.

More information can be found here: https://jobs.tue.nl/en/vacancy/postdoc-%E2%80%93-computational-and-experimental-remodeling-of-heart-valves-876785.html

Joint ESB-VPHi webinar: Imaging of joint tissues


Tue, May 18, 2021 2:00 PM – 3:00 PM CEST

The joint ESB-VPHi webinar takes place on 18 May 2021 featuring Simo Saarakkala from University of Oulu, Finland. Osteoarthritis is the most common joint disease in the world. It can occur in any joint, but it is the most common in hand, knee, hip and spine. Osteoarthritis is a whole joint disease affecting simultaneously several joint tissues, i.e. articular cartilage, subchondral bone, meniscus, synovium, ligaments and tendons. The typical primary signs of osteoarthritis progression are degeneration and wear of articular cartilage along with pathological remodeling of the subchondral bone. During the last decades, we have seen the rapid development of different imaging modalities and digital image analysis methods both at the laboratory level, i.e. tissue and cell level, and at the clinical level. This development has allowed both researchers and clinicians to better understand the initiation and progression of osteoarthritis. Specifically, machine learning based approaches for image analysis have become more common and promising during the recent few years. In this talk, the role of several imaging modalities in osteoarthritis research and clinical diagnostics – along with advanced image analysis methods – will be introduced. From the laboratory imaging methods, we will focus micro-computed tomography (micro-CT), Fourier-transform infrared imaging (FTIRI), Raman microscopic imaging, and polarized light microscopy (PLM). From the clinical imaging methods, we will focus on conventional radiography (X-ray) and the potential of advanced image analysis and deep learning algorithms to mine new diagnostic and prognostic information from them. Finally, the future prospects of clinical prediction models, combining imaging data and clinical information, will be discussed.

To register, click here:

https://register.gotowebinar.com/register/8752150354203399436