PhD on Computational Assessment of Spinal Instability in Scoliosis @TUEindhoven

Adolescent Idiopathic Scoliosis (AIS) is a 3D deformity of the spine affecting previously healthy
children, substantially reducing their quality of life and creating a life-long burden of disease.
Till now, no curative treatment exists partly because its cause and disease mechanism are still
unknown. In this ERC funded project, we will uncover whether a complex perfect storm of
anatomical, biomechanical and mechanobiological causes in the intervertebral disc are
responsible AIS.

During the adolescent growth spurt, many changes are occurring in our spines. If tissue
maturation is not matched by increasing loads and changes in shape, this could lead to spinal
instability and excessive tissue strains. Until now this was not possible to study because AIS
only occurs in human children and there were no safe methods to image their spines
repeatedly during growth. In the ERC project, we are running a clinical study using newly
developed MRI-based synthetic CT imaging to collect such information in normal and AIS

In this PhD research, we will first develop methods to generate subject-specific FE spine
models. These will be based on a combination of landmark recognition, statistical
shape/appearance modeling and machine learning methods. Once validated against imaging
and biomechanical data from cadaveric spines, subject-specific multi-scale motion segment
and spine models will be generated from the imaging data to explore spinal instability and
intervertebral disc deformations during growth in the children of the clinical study.

The PhD candidate will contribute to a multi-disciplinary team of biomedical engineers, imaging
scientists and spine surgeons, from the student to senior level, working on engineering,
biological, imaging and clinical studies. An educational and professional development program
is offered to all PhD candidates. You will also be involved in teaching courses, as well as
contribute to the supervision of bachelor and master students. Based on your research, you
will be expected to present at conferences, publish in scientific journals and write a doctoral

More information:

Postdoc position on Biomechanics of the octopus arm muscle hydrostat in the Bioinspired Soft Robotics Center @ Italian Institute of Technology (IIT)

At the Italian Institute of Technologies (IIT) we work enthusiastically to develop human-centered Science and Technology to tackle some of the most pressing societal challenges of our times. You’d be working in a multicultural and multi-disciplinary group, where engineers, computational scientists, and biologists experts collaborate, each with their own expertise, to carry out common research.

A Fellow position for Graduate students or Post-doc on the project: OctoNesys ‘Deciphering the novel principles of the octopus neuromuscular systems control’ is available in the group of Dr. of Letizia Zullo, researcher of the IIT Bioinspired Soft Robotics and Center for Synaptic Neuroscience and Technology (NSYN) of Genoa, Italy.

This research focus on investigating ‘Motor control of the Octopus vulgaris arm’ to gain inspiration for soft robotics using technique of muscle biomechanics, electrophysiology, motion kinematics, neural tracing and imaging. The successful candidate will have a strong background in muscle Biomechanics and/or

Neuroscience. Further experience on motion kinematics and coding (Matlab or Python) is an added value.

This position is full time, with funding for 12 months with a competitive salary and starting from October 15th. It may be subject to renewal based on founding availability. Graduate students and Post-doc are welcome to apply.

Job Location is the Center for Synaptic Neuroscience and Technology (NSYN) @ IRCCS Ospedale Policlinico San Martino, Genova, Genova, Italy

For further details about this project please contact

To apply please send your cv and motivation letter to

For more information about the research group you can visit

PhD position on modeling the effect of bleeding disorders on bone biology @University of Leeds

The multidisciplinary institute of Medical and Biological Engineering at the University of Leeds is seeking a PhD applicant to study the effect of bleeding disorders on bone and joints biomechanics. The successful candidate will contribute to computational models of bone and joints, and assess how bone biology is affected by bleeding disorders. They will have a strong background in computational mathematics or engineering. More information available at

Please contact Dr Marlène Mengoni ( before applying online.

Project Leader position in biomedical concept development and research at the AO Research Institute Davos

The Biomedical Development Program at the AO Research Institute Davos (Switzerland) is looking for a highly motivated project leader. The successful candidate will be responsible for maintaining general concept development processes, performing experimental and virtual biomechanical studies, and medical imaging; will handle biological samples and material testing machines, evaluate complex test-data and write scientific publications.

The position is available until the end of 2024.

For further details and application please visit:

For more information, please contact Dr. Peter Varga Note that no applications will be accepted via email.

Upcoming ESB webinar: TFMLAB!

September  22nd, 2022– 17:00 – 18:00 CEST

We are delighted to announce the next webinar of the ESB Webinar Series about TFMLAB, an open-source software package for 4D (3D + time) Traction Force Microscopy (TFM). The mechanical forces that cells exert on the surrounding extracellular matrix are crucial for many physiological and pathological processes. Traction Force Microscopy is the most commonly used methodology to quantify cell forces in vitro. TFMLAB integrates all the computational steps to compute active cellular forces from confocal microscopy images, including image processing, cell segmentation, image alignment, matrix displacement measurement, and force recovery. Moreover, TFMLAB is accessible to non-technical users through interactive graphical user interfaces. 

More information and registration details:

Advanced International School on Experiments, Modelling and Simulation in Biomechanics and Mechanobiology

The II Advanced International School on Experiments, Modelling and Simulation in Biomechanics and Mechanobiology will be organized in Rome on February, 20th-24th, 2023 (Italy).

The School aims at delivering an Advanced Training Program in Biomechanics and Mechanobiology merging complementary bits of knowledge from different scientific & clinical fields. Lecturers will be renowned expert scientists from multidisciplinary fields, such as Experimental, Theoretical and Computational Biomechanics & Translational Mechanobiology: Alessandro Veneziani, Antonio De Simone, Aurélie Carlier, Christian J. Cyron, Daniel E. Hurtado and Estefania Peña.

Classes will focus on multidisciplinary learning skills and state-of-the-art problems of biomedical research. Basic concepts of interdisciplinary knowledge will be opened to the critical thinking of Biomechanics and Mechanobiology applications. Emphasis will be also put on scientific and technological challenges able to foster an effective translation towards the clinical world.

The deadline for submitting a request of participation taking advantage of early registration fees is November, 15th. See also discount options for members of affiliated societies. 

More information:

With our best regards,

Daniele Bianchi, Alessio Gizzi, Michele Marino, Giuseppe Vairo

Campus Bio-Medico University of Rome

University of Rome “Tor Vergata”

PhD position at LS2P lab, CEA, Grenoble, in collaboration with Mines Saint-Etienne, SAINBIOSE (France)

The LS2P laboratory (from its French name, Laboratoire des Systèmes Portés par la Personne) develops non-invasive devices for measuring physiological parameters such as heart rate, oxygen saturation or blood pressure. A strong integration is a key factor from the design stage of the sensors. This allows them to be integrated into bracelets, patches or headbands to make them compatible with their daily use. The robustness of the measurement is a key factor in the relevance of these devices. It is obtained thanks to sensor technology and the performance of on-board signal processing algorithms. It also requires a good understanding of the physiology of the person faced with the disturbances encountered in daily life. The design of these devices is based on the development and use of numerical models to simulate the behavior of the human body. The doctoral student will integrate the "pôle avatar numerical" team of the laboratory to study a deformable 3D model of the forearm and its vascular system. Digital signatures will then be defined to assess the influence of the persons position and movements on the dynamics of the vascular system. The results obtained will be validated by the analysis of experimental data. We are looking for a candidate with a solid experience in mechanics and numerical modeling (CFD, FEM). Good programming skills are required and preferably previous experience in the development of computational mechanics tools. Motivation and interest in bioengineering is recommended. Excellent knowledge of written and spoken English is required.

More information: 

Postdoc position in mathematical modeling of heart ventricular function in the SofTMech Centre @ University of Glasgow

A team led by Dr Hao Gao from the School of Mathematics and Statistics, University of Glasgow is seeking a Research Associate, who will make a leading contribution to a project funded by the British Heart Foundation (mathematical modelling right ventricular function in repaired Tetralogy of Fallot for predicting outcome and impact of pulmonary valve replacement). The post is based in the SofTMech Centre (, a leading Centre of Mathematics for Healthcare, with primary support from the EPSRC since 2016.

This project will develop new computational models based on patient scan data using cutting-edge mathematical and statistical approaches to derive parameters of heart function of patients with repaired Tetralogy of Fallot, aiming to provide valuable insights into the cardiac condition for doctors and patients. Specifically, the job requires expert knowledge in nonlinear mechanics and computational modelling of the heart. A background in soft tissue mechanics and cardiovascular system would be advantageous. We are seeking a candidate with a background in applied mathematics or continuum mechanics or a closely related discipline. The successful candidate 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.

This position is full time and with funding for 36 months. The closing data is 24th August 2022. For more information and to apply online: Please contact for further details about this project.

2 PhD positions in the Health & Technology PhD program @University of Bologna

The second 2022 call (PNRR) for the PhD positions at the University of Bologna is online:

Applications must be submitted before 23:59 of 2 August 2022. Two exciting projects are open at this time:

1) “Fusing clinical measures and data for the development of personalized musculoskeletal models”.  Tutors: Prof. Marco Viceconti (UniBo), Prof. Maria Grazia Benedetti (Rizzoli Orthopaedic Institute)

2) “Computational modelling of vertebrae affected by metastasis for clinical diagnosis”  Tutors: Prof. Luca Cristofolini (UniBo), Dott. Giovanni Barrbanti (Rizzoli Orthopaedic Institute)

More positions will probably be added in the next days… keep monitoring the website!

More information about the PhD program in Health and Technology can be found here:

While applying, candidates should indicate the project they mainly apply for, but they can also indicate other additional projects they are interested in.  

Please circulate this information to perspective candidates!

Profile scientific director MERLN @Maastricht University

The MERLN Institute for Technology-Inspired Regenerative Medicine (MERLN) is a research institute at the Faculty of Health, Medicine and Life Sciences (FHML) of Maastricht University (MU) closely connected to the academic hospital within Maastricht University Medical Centre+ (MUMC+). MERLN operates in the field of regenerative medicine (RM), a biomedical sciences branch that focusses on developing therapies to treat damaged and diseased tissues and organs. The activities are inspired and driven by advancements in technology.

The Scientific Director is responsible for strategic development and implementation of research policy, programs, and organization of the Institute. She/he sets quality standards within MERLN, identifies key developments within the field, translates these to the research areas and facilitates team science within MERLN as well as with other MU/FHML research institutes. The Scientific Director will consolidate and further improve the positioning of MERLN on the (inter)national Regenerative Medicine stage and facilitates that fundamental research will find its way to valorization and (clinical) application and implementation. The scientific director represents MERLN in relevant local and national academic consultation and steering committees. As established scientist, the professor actively extends an own research group and international scientific network and participates in education at Maastricht University.

More information: