Computational modelling for personalised treatment of osteoarthritis @University of Edinburgh

The primary aim of the study is to establish the inter-relationship of initial cartilage quality, subchondral bone stiffness and loading scenarios (due to different physiological activies which result in loads with varying magnitudes, frequencies and strain rates) by using computational models to optimise osteoarthritis treatment.

Outline: The research will be conducted by using data from mechanical testing and imaging of testing clinical samples in conjunction with available physiological loading data. Novel computational simulations using the finite element method will be employed. A range of cartilage properties will be considered; variation of properties from normal to cartilage weakened by infection or inflammation will be considered. Similarly the material properties of the subchondral bone will be varied to represent subchondral sclerosis. The findings of this project will enable the interplay of bone and cartilage properties and loading to be considered in different patients. This will indicate the leading mechanism of joint failure in different patients, which will allow us to personalize the treatment inline with the principles of precision medicine

Project supervisors: Professor Pankaj Pankaj and Professor Hamish Simpson, The University of Edinburgh
Project description:
To apply:
Application deadline: 7 January 2021
Applicants are encouraged to contact Prof Pankaj Pankaj ( with their CV prior to applying.

PhD student position at Lund University

We are looking for a PhD student to explore the potential of Neutron scattering for studying soft musculoskeletal tissues and their structural and mechanical changes due to osteoarthritis. The student will be supervised by Prof Hanna Isaksson and Prof Martin Englund and be part of SwedNESS – the Swedish national graduate school for neutron research. 

More information can be found here:

Post-doc position in the Computational Biomechanics Research Group at University of Glasgow

A one-year postdoc position is available in the Computational Biomechanics Research Group at University of Glasgow. The project is aimed at combining image segmentation with biomechanical calculations and requires experience in scientific code development and nonlinear biomechanics.

For more information on the position, please check


More information on my research group can be found at


If you have any questions about the position, please email:

ESB webinar on ITK-SNAP: Open-Source Software for Medical Image Segmentation

October 27th 2020

15:00 – 16:00 CET

Click here to register for the webinar.

The objective of this webinar is to introduce ITK-SNAP and provide an overview of its capabilities for medical image navigation and segmentation.

In this webinar, attendees will learn some of the core capabilities of ITK-SNAP:

  • Visualization of 3D medical image data
  • Labeling of anatomical structures in 3D images both manually and semi-automatically
  • Loading, editing, and saving segmentation files
  • Rotating and landmarking 3D images
  • Using the ITK-SNAP distributed segmentation service

The webinar will be Led by Dr. Paul Yushkevich (creator of ITK-SNAP) and by Dr. Alison Pouch from the Penn Image Computing and Science Laboratory.

The seminar will last 45 minutes followed by 15 minutes of Q/A from the audience. You will have the chance to ask your questions which will be addressed by the speaker at the end of the webinar. However, it would be great if you could send your question in advance while filling the registration form or by sending to and/or  before the start of the webinar.

Click here to register for the webinar.

The webinar will be on the GoToWebinar Platform and will be uploaded to our YouTube channel afterwards. The information to join the webinar will be sent to you after your registration.

Please subscribe to our YouTube channel! ( )

Looking forward to your attendance.

ESB Student Committee

JMBBM Frontiers Webinar

JMBBM is launching a series of webinars starting from Thursday 15-10-2020. 

They are on various themes, but all around biomedical materials their performance and uses.

The first webinar will take place on Thursday, October 15, at 9 a.m. Boston, 2 p.m. London, 9 p.m. Beijing, and will feature Prof. Viola Vogel, ETH Zurich, with her presentation entitled Unraveling the Secret Language of the Extracellular Matrix.

More info here

Postdoc position in wood mechanobiology @ the Institute for Mechanics of Materials and Structures, TU Wien

The growth of trees, and the resulting wood microstructure, is substantially influenced by the mechanical loading to which the respective tree structure is subjected. The Austrian Science Fund (FWF – Fonds zur Förderung der wissenschaftlichen Forschung) funds, within the scope of the 1000 ideas programme, a two-year project aiming at the development of computational tools which allow for predicting how and to which extent trees grow under certain mechanical boundary conditions. While so far the field of plant mechanobiology has been mainly driven forward through experimental studies, this project bears the potential of launching a completely new (sub-)field, namely computational plant mechanobiology, by reconciling the theoretical concepts of classical beam mechanics, multiscale wood mechanics, and multiscale systems biology.

More information can be found here:

Research Fellow in Experimental Biotribology of the Human Natural Knee @University of Leeds

Are you an ambitious researcher looking for your next challenge? Do you have an established background in biomedical engineering? Do you want to further your career in one of the UKs leading research intensive Universities?

This project is part of a £4M EPSRC Programme Grant on Optimising Knee therapies, held within the Institute of Medical and Biological Engineering (iMBE). The aim of the programme is to develop preclinical testing methods for early-stage treatments for knee osteoarthritis so their performance can be optimised. In the UK, one third of people aged over 45 have sought treatment for osteoarthritis. The knee is the most common site for osteoarthritis and there is a major unmet clinical need for effective earlier stage interventions that delay or prevent the requirement for total knee replacement surgery. Such treatments involve repair or replacement of diseased or damaged tissues in the knee joint, such as the meniscus, or a small region of cartilage and underlying bone.

The aim of this project is to develop, evaluate and apply an experimental simulation model of the natural human knee joint, specifically to investigate the biotribological and biomechanical function of early knee interventions.  Examples of interventions include total meniscus replacement and cartilage repair. You will have a strong background in biotribology, biomechanics, bioengineering or a closely related subject. Due to the environment within the iMBE, you will have a proactive approach to working in a multidisciplinary team with engineers, biologists and clinicians.

More information:

Extended deadline abstracts World TERMIS 2021

Because of high demand, the deadline for submitting abstracts has been extended to 15 September 2020. Do not miss out on this opportunity to submit your abstract!  

Even though we all live in exceptional and uncertain times due to COVID-19, we confirm that the congress will continue to take place in 2021. We are also planning the possibility to give your talk digitally (more information to be announced soon) in case you are not able to travel to the Netherlands. We have all the measures in place to organize the congress in a safe and COVID-19 proof manner and are exploring high quality digital meeting options. If there is any change, we will update this website accordingly.  

Don’t forget to submit your abstract by 15 September 2020 at the latest!  
More information can be found here:

The congress theme is ‘biologically inspired technology driven regenerative medicine’. Abstracts can be submitted within the following topics:
Cell sources (autologous & allogeneic)
Biomaterial design & development
Mechanisms of action
Process engineering
Preclinical & Clinical
Enabling technologies: imaging, modelling, fluidics
Regulatory, Business, Consortia, Patients, SYIS, Sister societies  

Postdoc: Computational modeling of kidney toxin transport @Maastricht University

The department of Cell Biology-Inspired Tissue Engineering (cBITE) at the MERLN Institute for Technology-inspired Regenerative Medicine at Maastricht University in the Netherlands invites applications for a post-doctoral position. The post-doctoral researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to kidney toxin transport in microfluidic set-ups, organoid culture systems and/or bioartificial kidney devices.

Regenerative medicine holds the promise to cure many of what are now chronic patients, restoring health rather than protracting decline, bettering the lives of millions and at the same time preventing lifelong, expensive care processes: cure instead of care. More specifically, at present, dialysis and transplantation are the only treatment options for end-stage kidney disease. In the Netherlands alone, 6,500 people currently depend on dialysis, approximately 1,300 of which will die this year. Regenerative medicine offers an alternative treatment in the form of a bioengineered kidney. As a first step, the partners of RegMed XB will work towards creating a functional subunit of a bioengineered kidney. This functional subunit is the nephron, of which there are approximately one million in the adult kidney. In order to inform the in vitro experiments as well as design a bioartificial kidney as an intermediate step towards a fully bioengineered kidney, this project will use computational models to simulate toxin transport and calculate the flow and geometry requirements for adequate toxin removal in various set-ups: microfluidic, organoid culture systems and bioartificial devices.

More information can be found at:

POSTDOC position at SayFood, Thiverval-Grignon, France: Quantitative ultrasound for the investigation of tongue-food interactions during oral processing.

Context: In the framework of the ANR project QUSToFood (ANR-17-CE21-0004), a postdoctoral position is open at UMR SayFood. QUSToFood proposes to use Quantitative Ultrasound (QUS) methods for the study of texture perceptions resulting from the mechanical interactions between the tongue and the palate during the oral processing of food. These interactions induce the stimulation of tongue mechanoreceptors and enable the continuous evaluation of the mechanical status of food all along oral processing (from introduction into the mouth to the triggering of swallowing in safe and comfortable conditions). QUS are non-destructive, non-invasive and provide real-time measurement which can be employed both in vitro and in vivo, directly on the individual. The method developed in QUSToFood could thus help to characterize potential losses of sensory quality induced by food and agro ecological transitions, or to meet pleasure and health criteria for specific populations such as infants with sensory processing disorders or seniors suffering from swallowing disorders.

Keywords: Quantitative ultrasound; Biomechanics; Rheology; Tribology; Food; Tongue; Oral processing; Texture

Candidate: The ideal candidate must have completed a PhD in the field of physics, mechanics, biomedical or food engineering. Experience and interest in signal and image processing, and in the in-house design of experimental systems would be an advantage. In all cases, the candidate must have a strong interest and aptitude for multidisciplinary approaches, as this project combines biomechanics, acoustics, rheology, tribology, instrumentation, signal and image processing, food science and sensory analysis.

Contract and location: This contract is for 24 months and the start date is flexible, but shall not be later than January 1, 2021. The gross salary will be from 2500€, depending on the number of years after PhD. The project will be carried out in the labs of UMR SayFood located in the AgroParisTech center of Thiverval-Grignon (a short bus ride from the “Plaisir Grignon” train station, which serves the center of Paris in 25 min). The relocation of the laboratories to a new site in Palaiseau is planned for the second half of the year 2022. The work schedule will be adapted accordingly.

Application: The selection process will start immediately and go on until the position is filled. To apply or inquire further, please contact Vincent Mathieu at Please include a C.V. and a letter of motivation, along with relevant publications and the name of references.

More information can be found here: