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: https://www.theses-postdocs.cea.fr/offre-de-emploi/emploi-signatures-numeriques-du-systeme-cardiovasculaire-de-l-avant-bras_20149.aspx
Category Archives: Job Opportunities
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 (www.softmech.org), 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: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=092869. Please contact firstname.lastname@example.org for further details about this project.
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!
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.
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 email@example.com.
The Computational Biomechanics Lab at Michigan State University is looking to fill fixed-term research associate positions. The successful candidate must have a Ph.D. in either mechanical, biomedical, aeronautical, civil engineering, or equivalent field with a strong foundation in programming (C++ and python), computational mechanics, and the finite element method. Special consideration will be given to candidates who are familiar with the open-source finite element library FEniCS, cardiac finite element modeling, medical image processing, and machine learning. The candidate is expected to possess excellent communication and writing skills. In this position, the candidate will work to develop multiscale/multiphysics formulations and code to solve problems related to the cardiovascular system. Additionally, the selected candidate will be expected to help mentor students and publish peer-reviewed journal articles. The successful candidate will enjoy ample training and network!
Outstanding candidates are invited to submit a letter of application detailing their relevant background, providing the names and e-mail addresses of at least three references, a CV to the webpage: careers.msu.edu/cw/en-us/job/509746/research-associatefixed-term
For more information, please contact Dr. Lik Chuan Lee at firstname.lastname@example.org
Post-doctoral position in Numerical modeling of the mechanical effect of a compression device on the leg @Mines Saint-Etienne
Academic Context: The post-doctoral fellow will join the STBio team, from the Centre Ingénierie et
Santé (Mines Saint-Etienne) and the SaInBioSE laboratory (INSERM U1059), whose research activities
are focused on soft tissue biomechanics. For several years, STBio has been working on the interactions
between medical textile devices and the skin, in order to better understand their mechanisms of action
and/or to prevent certain complications.
Background: The device under study is a very innovative system developed for the treatment of
lymphedema. It consists of a compressive envelope with a structured inner face. Although several
clinical investigations have shown its efficiency, its mechanism of action remains poorly understood. It
is based on the interface pressure, but also on its spatial and temporal variation, that is exerted on the
surface of the skin. The geometrical structure of the inner face determines these pressure variations.
Application deadline: 13 july 2022
The Karl Landsteiner University of Health Sciences (KL) is part of an academic and research community located at the Campus Krems, and includes a network of comprising teaching hospitals in St. Pölten, Krems, Tulln and Eggenburg. KL is committed to raising its profile in specific areas of biomedicine, biomedical engineering, and biopsychosocial sciences by entering into strategic academic and research partnerships with other institutions.
From Autumn 2022 the KL offers a 2-year research position at the Division „Biomechanics“ (Head: Univ. Prof. Dr. Dieter Pahr) with the option of getting permanent upon adequate performance:
Research Assistant/ Lab Manager (Post Doc) (40 h) (f/m/d). The Division Biomechanics is part of Prof. Pahr’s Interuniversity Biomechanics Laboratory, which also includes his research group at the TU Wien. Get some impressions of our recent work from our Youtube Channel!
• Independent experimental research activities in the field of musculoskeletal biomechanics
• Publication activities and writing of applications for external funding
• Teaching and support in administrative tasks
• Supervision of Bachelor, Master and PhD students
• Administration and maintenance of the laboratory infrastructure
• Support of the laboratory head
• Completion of a suitable doctorate (e.g. mechanical engineering, physics, biomedical engineering, …)
• In-depth knowledge in biomechanical testing (material and/or implant testing incl. programming of measurement data analysis)
• Appropriate track record of publications in scientific journals as well as conference contributions.
• Experience with clinic-related research and imaging techniques (CT or MRI) would be an advantage
• Good German and very good English skills, both written and spoken
• Process-oriented, accurate, structured way of working with a strong ability to prioritize
• Open, resilient and flexible personality with a professional attitude
You can expect a challenging job in a highly motivated team. KL is committed to an anti-discriminatory employment policy and values equal opportunities and diversity. KL specifically encourages qualified people with different diversity characteristics (gender, age, ethnicity, denomination, sexual orientation, etc.) to apply. The minimum monthly gross salary for this position is 3,670 € (40 hrs) gross per month. Readiness for overpayment exists with appropriate experience and qualification.
Applications should include a motivation letter, curriculum vitae and credentials and should be mailed to Ms. Christina Schwaiger of the Karl Landsteiner University of Health Sciences, Dr.-Karl-Dorrek-Straße 30, 3500 Krems, Austria (email@example.com ) referring to jobnumber “2202”. There is the possibility of an ongoing job application until a suitable candidate is found.
Application deadline is June 21, 2022
The MAtrix / Mechanobiology & Tissue Engineering research group (www.mech.kuleuven.be/mechanobiology) is a bioengineering group that is pioneering the role of cellular forces for microvascular formation and function in health and disease. The group is led by prof. Hans Van Oosterwyck and is one of the few groups worldwide that has established 3D Traction Force Microscopy (TFM) routines and workflows for quantifying cellular force exertion in 3D, and routinely applies them to in vitro models of angiogenesis (endothelial invasion). Together with its research partners, it is currently developing novel in vitro models, compatible with TFM and other methods of cellular force inference, to study the interplay between cellular force exertion, matrix mechanics and fluid flow, and how this interplay contributes to endothelial cell phenotypic changes in the context of endothelial heterogeneity and specific (genetic) diseases that lead to microvascular malformations.
The group is looking for a postdoc with strong expertise in the in vitro bioengineering of microvascular networks to strengthen the research team.
The ideal candidate must have:
– a PhD in bioengineering or related fields.
– strong bioengineering skills relevant for 3D in vitro models of vascular biology, such as micro- or mesofluidics, micro- / biofabrication (e.g. 3D printing), 3D endothelial (co-) culture systems, hydrogel synthesis and functionalization, mechanical design.
– experience with optical microscopy, preferably live cell imaging in 3D (confocal microscopy, fluorescence microscopy, genetically-engineered fluorescent reporter systems).
– some experience with or exposure to scientific computing (such as finite element modelling) and programming (such as Matlab).
– a strong interest in mechanobiology and mechanotransduction, with a desire to learn TFM and related methods.
– a strong CV and willingness to apply for a personal postdoc fellowship (together with the PI).
– a collaborative attitude; we are looking for a real team player who is willing to help and co-supervise master and PhD students.
You will join a KU Leuven-funded project that is in close collaboration with profs. Liz Jones and Aernout Luttun (Centre for Molecular and Vascular Biology at KU Leuven) and that explores how organ-specific endothelial cell heterogeneity arises from the combination of genetic and mechanical signals. Your role is to explore the role of cellular force exertion in the establishment of organ-specific endothelial phenotypes in combination with extrinsic mechanical signals related to organ-specific matrix mechanics and fluid flow. Apart from using and optimizing recently established monolayer models available in our group, you are expected to develop novel 3D in vitro models of perfused vascular networks compatible with cellular force inference. Apart from the application to the study of endothelial cell heterogeneity, these models must also target the study of microvascular disease, in particular Cerebral Cavernous Malformations (CCMs) which are malformations of the brain microcapillaries. As to the latter, the Van Oosterwyck group has a strong partnership with the research group of dr. Eva Faurobert at the Institute for Advanced Biosciences (University of Grenoble, France), with whom you are expected to closely collaborate as well.
Application deadline is June 21, 2022.
Contact person: prof. Hans Van Oosterwyck (firstname.lastname@example.org).
Alma Mater Studiorum – University of Bologna (Italy) invites applications for the admission to the 38th PhD programme in Health and Technologies. (https://www.unibo.it/en/teaching/phd/2022-2023/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, email@example.com)
– 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, firstname.lastname@example.org)
– Biomechanical evaluation of knee mechanical behaviour and interface stresses with a new concept of alignment for total knee arthroplasty (NEW- KNEE) (Supervisor: Prof. Cristofolini, email@example.com)
– Computational modelling of vertebrae affected by metastasis for clinical diagnosis (Supervisor: Prof. Cristofolini, firstname.lastname@example.org)
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 (https://www.unibo.it/en/teaching/phd/2022-2023/attachments/38th-cycle-phd-programme-table-health-and-technologies/@@download/file/38_PhD%20Programme%20Table_Health_Technologies.pdf).
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, email@example.com) or the supervisor of the project you are interested in and join the University of Bologna for a wonderful research experience.