ESBiomech23 Congress in Maastricht

PhD scholarship on Integrating Four-Dimensional Synchrotron Imaging and Computational Modeling at QUT/UPEC/USASK

Institutes: Queensland University of Technology (QUT, Australia), University of Paris Est (UPEC, France), and University of Saskatchewan (USASK, Canada).

Supervisors: Prof. Peter Pivonka (QUT, and Prof. Vittorio Sansalone (MSME UPEC,

Résumé: We seek to better understand how cortical bone is affected by osteoporosis and drug treatments. Longitudinal experimental data in a rabbit model of osteoporosis will be collected by Prof David Cooper (USASK) at the Canadian Synchrotron. The successful PhD candidate will use machine learning algorithms to assess morphological changes in cortical bone and to track bone remodeling units over time using co-registration techniques based on provided synchrotron imaging data. Additionally, the candidate will develop a computational model to predict changes in cortical porosity and effects on bone matrix properties due to osteoporosis and other treatment regimens developing state-of-the-art bone adaptation algorithms.

Closing date: Applications will be accepted until the scholarship is awarded, but applications will be assessed early October, 2022.

More information (salary, essential and desirable criteria, etc.) here:

PhD position in Neuroscience & Biomechanics @University of Limerick

The Esports Science Research lab in Lero at the University of Limerick was founded in 2019 and
is the first lab dedicated to pursuing excellence in esports health and performance science
research initiatives in Europe. With over 15 peer reviewed journal publications, multiple
industry collaborations and over 1.5 million in funding over the past 5 years, the lab, which
hosts a multidisciplinary team led by Professor Mark Campbell and Dr. Adam Toth, continues to
thrive and grow and is now proud to announce that it has been awarded funding to take on a
fully funded PhD student in the area of Neuroscience & Biomechanics under the supervision of
Dr. Toth and Professor Campbell.

More information:

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:

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.

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: 

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!

PhD & postdocs position in the biomechanics lab @Marquette University

The Biomechanics Lab in the Joint Department of Biomedical Engineering at Marquette University and Medical College of Wisconsin is recruiting PhD students and Postdoctoral Research Associates starting in Spring 2023 to work in biomechanics and biomedical engineering research.

The successful candidate for the postdoc positions will be expected to publish peer-reviewed journal papers and help mentor students and write proposals. The successful candidate will enjoy ample training and networking opportunities.

The successful candidates for the Positions in Computational Modeling in Biomechanics Lab will work on and contribute to ongoing research that solves problems related to the cardiovascular and brain by developing multiscale/multiphysics computational models.

Candidates possessing the following qualifications are strongly encouraged to apply:
* Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields.
* Strong foundation in numerical methods, especially the finite element method. Proficient in python and C++ programming language. Special consideration will be given to candidates who are familiar with the open-source finite element library FeNiCS, cardiac or brain finite element modeling, medical image processing, and machine learning techniques.
* Special consideration will also be given to candidates possessing knowledge and experience in performing bio-related experiments.
* Excellent communication and written skills.

The successful candidates for the Positions in Experimental Biomechanics will work on and contribute to ongoing research that solves problems related to the cardiovascular and brain by performing in vivo and ex-vivo small animal experiments.

Candidates possessing the following qualifications are strongly encouraged to apply:
* Strong background in biomechanics, biomedical engineering, physiology, or equivalent fields.
* Training and experience in designing, performing, and acquiring data in-vivo and ex-vivo small animal experiments e.g., biaxial tissue testing, biomedical imaging, and/or Langendorff experiments.
* Special consideration will also be given to candidates possessing knowledge and foundation in computational modeling.
* Excellent communication and written skills.

Outstanding candidates are invited to submit a CV to Dr. Lei Fan at

PhD positions on biomechanics @ University of Bologna

Alma Mater Studiorum – University of Bologna (Italy) invites applications for the admission to the 38th PhD programme in Health and Technologies. ( 

The research projects about biomechanics cover in silico methodologies, deep learning, experimental and computational characterization of biological tissues and biomaterials, and imaging techniques.  Among the research projects advertised, you will find:

– I-BLOSSOM – Instrumented Biomarkers for LOngitudinal aSSessment Of Motor control development (Supervisor: Prof Stagni,

– Development and perspective validation of an in silico methodology for the prediction of bone fracture risk to be used as clinical support system (Supervisor: Prof. Viceconti,

– Biomechanical evaluation of knee mechanical behaviour and interface stresses with a new concept of alignment for total knee arthroplasty (NEW- KNEE) (Supervisor: Prof. Cristofolini,

– Computational modelling of vertebrae affected by metastasis for clinical diagnosis (Supervisor: Prof. Cristofolini,

PhD candidates are expected to operate in a multidisciplinary team of engineers, biomaterials science, medical physics, computer science, biologists and clinicians. Each project will be conjointly supervised by a supervisor active in the technology field and one in the clinical field.

More details can be found in ( 

The online application must be submitted by June 9th, 2022 at 11.59 pm (CEST).

Three totally founded PhD scholarships are available.

If you would like to apply, contact the coordinator of the PhD programme (prof. Marco Viceconti, or the supervisor of the project you are interested in and join the University of Bologna for a wonderful research experience.

Open Position: University Assistant in Biomechanics and Proteomics @TUWien

The Institute of Lightweight Design and Structural Biomechanics (ILSB) of TU Wien invites applications for the position of a University Assistant (30h/week) in the area of biomechanics and proteomics. The successful candidate will conduct research towards a PhD thesis. In particular he/she will investigate healthy and degenerated meniscal tissue micro- / nano-mechanics using atomic force microscopy, spatially resolved micro-indentation and dedicated existing custom-made devices. Composition will be investigated via spatially mass-spectrometry methods under supervision of Prof. M. Marchetti-Deschmann of the Institute of Chemical Technologies and Analytics of TU Wien. After successfully establishing correlated mechanics and compositional datasets, a further step would be to compare retrieved data, to chemical magnetic resonance images (MRI) available through a clinical partner. In the long run we envision this to become a tool for early detection of meniscal degeneration and osteoarthritis.

More information:

PhD position on cardiac tissue growth & remodeling @TUDelft

Heart failure is a progressive chronic condition under which heart tissues undergo detrimental changes in structure and function across multiple scales in time and space. Given the role that biomechanical stimuli play in the onset and progression of these remodeling processes, cardiac restraint devices are seen as a promising treatment strategy. However, given the limited understanding of the underlying cardiac tissue behavior, current designs fail to successfully counteract pathological remodeling in the long term.

To this end, the aim of this PhD project is to develop, implement, verify, calibrate, and validate a microstructurally and functionally informed cardiac tissue model for growth and remodeling using finite element analysis. The outcomes of the developed framework will be leveraged to design enhanced bio-informed cardiac restraint devices.

Within this project, the PhD candidate is expected to operate within a multidisciplinary team of engineers, biomedical scientists, and cardiac surgeons. The outcomes of this project will be disseminated to the scientific community and to a general audience through presentations at (inter-)national conferences and through publications in peer-reviewed journals. Additionally, the candidate is expected to take part in educational activities within the department (assist in teaching, act as a mentor for master students, supervise master thesis work, … ).

The PhD candidate will be supervised jointly by dr. ir. M. Peirlinck (dept. of Biomechanical Engineering) and dr. ir. Noël (dept. of Precision & Microsystems Engineering) at Delft University of Technology. Our labs have a strong network of national and international collaborators in both academia and industry.

More information:

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