Would you like to be the Editor of Computer Methods in Biomechanics and Biomedical Engineering (CMBBE)?
We are looking for a new Editor/Editorial Team to lead the editorial board of CMBBE. Applicants should have an academic background in biomechanics and biomedical engineering, specifically a high level of multidisciplinary knowledge across the fields of computational biomechanics, biomedical applications and numerical methods, as well as the passion to drive the journal forward.
The successful candidate(s) will be responsible for editorial oversight and decision-making on submissions. They will have authority to accept articles following successful peer review and will ensure that reviewers and authors adhere to the Journal’s Code of Publishing Ethics. For more information on the role of a journal editor, please click here.
Becoming the editor of a journal is a rewarding and fulfilling experience where you will extend your own networks, promote the research that you are passionate about, increase visibility of your own research and be recognized as a leading figure within the academic community.
Interested in applying? Here are the skills and attributes we would be looking for in a successful applicant:
· Someone who is active in the community with strong personal networks
Confidence to engage with authors and researchers to solicit the highest quality submissions
Strong organizational skills to ensure that submissions are handled in a timely manner
The ability to foster positive working relationships with colleagues in the Editorial Board
This position may be available as a co-editorship – please note your interest in this in your application.
Submitting your Application
If you would like to apply for the position please forward your CV to Ishtiaque Shams, Portfolio Manager, at Ishtiaque.Shams@tandf.co.uk.
Deadline for application is 31 October 2019.CMBBE is a leading Journal in the field with the aim to provide a means of communicating the advances being made in the area of computational biomechanics and biomedical engineering with the emphasis being placed on biomechanics. For more formation about the Journal please click here.
The ESB invites proposals for the organization of its annual congress in 2023. If you would like to host and organize the 2023 ESB congress and wish to prepare and submit a bid, please read the conference rules.
Interested members can contact or send a proposal/bid to Prof. David Mitton, Chair of the Meetings Committee (david.mitton(at)ifsttar.fr),
The deadline for bid submission (first step) to organize the ESB 2023 is 15 December 2019.
into Musculoskeletal Modeling with OpenSim
We are delighted to announce the second
webinar of the ESB Webinar Series which will introduce the OpenSim Software. The webinar will
take place on October 16th 2019 at 18:00 CEST.
OpenSim is a
freely-available, open-source musculoskeletal simulation software for visualizing
and simulating movement. Musculoskeletal modeling and simulation are powerful
tools to help understand the complex interactions between the neuromuscular and
skeletal systems during movement.
Introduce the main capabilities
of OpenSim, including new features from the latest release of the software
Demonstrate a typical pipeline
of creating and visualizing a muscle-driven simulation starting with motion
capture data of a subject jumping
By the end of
this tutorial, attendees will learn some of the core capabilities of OpenSim,
including how to:
Load and visualize motion
Load and explore a
Visualize a motion
Create a dynamic simulation.
The webinar will
be conducted by Dr. Jennifer Hicks. Dr. Hicks is Associate Director the
National Center for Simulation in Rehabilitation Research, an NIH-funded center
at Stanford University that brings state-of-the-art engineering tools to
rehabilitation scientists. In addition, she is the Research and Development
Manager of the OpenSim software project, guiding the project’s development team
and serving as the voice of the software user/researcher.
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 Ehsan.firstname.lastname@example.org and/or email@example.com before the start of the webinar.
Applications are invited for an exciting fully-funded PhD studentship in the Bioengineering Research Group, Faculty of Engineering at the University of Nottingham.
Research area. The research topic focuses on developing solutions that enable in-natura markerless motion capture for biomechanical modelling in Biomedical and Sports Engineering. Specifically, it addresses the fundamental research problem of reconstruction of person-specific human pose, kinematics, and surface geometry to enhance our understanding of the non-linear behaviour of human motion, musculoskeletal injury and disease and enable modelling of soft-tissue dynamics. Open problems in human-object interaction and tracking will also be explored.
The project. The candidate is expected to develop a fast and robust method for inferring and tracking 3D shapes of deformable objects, humans in particular. The method will be mainly based on visual sensing. Inertial and force sensors will be used as complementary sensing. The method can use either or both of model-based and learning-based approaches, such as CNN based segmentation, geometric CNNs, or convolutional kernel filter based tracking. The candidate will have access to a newly established state-of-the-art integrated motion capture laboratory.
The candidate. The ideal candidate will have;
a first or upper second class honours or Masters degree in Electrical and Electronic Engineering, Physics, Computer Science or other relevant and equivalent degree from a quality recognised institution.
a solid background in mathematics and excellent analytical and numerical skills, as well as problem solving skills
strong background in 3D computer vision, pose estimation, shape reconstruction, structure from motion, segmentation, or object detection.
experience in image or video processing and digital signal processing.
strong programming skills in Matlab, C/C++, or Python. Previous hands-on experience with deep learning platforms and agile software development as well as experience of working within industry will be an advantage.
very good written and communication skills and fluency in English.
a driven, independent professional and self-reliant work attitude within a fast-paced & collaborative environment.
Informal enquiries about the project may be addressed to Dr Ami Drory. Please (i) insert your cover letter, CV and copies of academic transcripts into a single pdf file. (ii) Name the file with your name as ”firstName_lastName_phd”. (iii) e-mail to: Ami.Drory@nottingham.ac.uk, with [3D shape reconstruction PhD application – lastName] as the email subject.
Closing date for applications. Review of applications will commence on 15 October 2019 and remain open until filled. A start date is expected to be as soon as practical thereafter.
The University. The University of Nottingham is a world-class University consistently ranked among the world’s top 100 universities. It is a Russell Group university and a member of Universitas 21 (U21), the global network of research-intensive universities. The University is ranked eighth in the UK on ‘research power’ in the latest REF rankings. The Faculty of Engineering is ranked in the top 10 in the UK with more than 98 per cent of its research ranked of international quality, with 85 per cent graded as ‘world-leading’ or ‘internationally excellent’.
The university was awarded the University of the Year for both International and Sports in the 2019 Guide. With award-winning campuses, University Park is The University of Nottingham’s largest campus at 300 acres. The campus is widely regarded as one of the largest and most attractive in the UK. Set in extensive greenery and around a lake, University Park campus has consistently won a Green Flag Award for its green and environmentally friendly spaces every year since 2003. The University of Nottingham was ranked the World’s second greenest university in 2019 (GreenMetric). The brand new £40 million David Ross Sports Village is now open, offering an inspirational and accessible sports provision for all.
A stochastic finite-element model for predicting changes in bone strength
Closing date 22/09/2019
Employer: The University of Sheffield (Department of Mechanical Engineering)
Location: Sheffield, UK
Are you a bright, enthusiastic and self-motivated student interested in a PhD in biomechanics? An exciting multidisciplinary PhD opportunity is now available at the Insigneo Institute for in silico Medicine at the University of Sheffield, UK.
Pharmacological interventions that target improvement in bone strength typically seek to improve bone morphology (geometry). Yet, a model to predict change in strength, given knowledge of bone morphology changes, has not received much attention. The recently awarded project MultiSim2 (supported by the EPSRC, UK) will engage with this ageing-related challenge.
Previously in MultiSim, in vivo micro-computed tomography enabled quantification of bone geometry changes in small animals (e.g. mice) with unprecedented spatial and temporal detail. The PhD student will use this information to:
Capture bone geometry changes driven by cellular processes using Gaussian Process emulators;
Implement a stochastic finite-element (sFE) model to predict bone strength changes in response to emulator parameters;
Analyse the global sensitivity and uncertainty propagation of the sFE model.
The expected start date for this project is December 2019.
About the University of Sheffield The University of Sheffield is a Russell Group university, which represents the 24 leading UK universities committed to maintaining outstanding research and teaching environments. The University of Sheffield regularly ranks among the top 10 in the UK in terms of research output. In addition to having a long tradition of world-class engineering research, Sheffield benefits from geographical proximity to the industrial cities of Manchester, Liverpool and Leeds.
The ambition of the Insigneo Institute is to achieve a transformational impact on healthcare. As such, it possesses extensive experience in the development of computer simulations aimed at better understanding of the biomechanics of the musculoskeletal system. This project will be co-supervised by Dr Pinaki Bhattacharya, Dr Enrico Dall’Ara and Prof Visakan Kadirkamanathan. It will benefit as well from the multidisciplinarity of MultiSim2 research.
Candidate Profile The successful candidate should have or be expected to obtain an excellent degree in mechanical engineering, bioengineering, computer science, physics, applied mathematics or a related discipline. Experience in finite-element analysis and in programming languages (e.g. C, C++, Matlab, Python) are essential. Exposure to high-performance computing is desirable.
Funding and Duration A 3.5 year studentship, co-funded by the Departments of Mechanical Engineering, Oncology and Metabolism and Automatic Control and Systems Engineering, is available for UK and EU applicants. The studentship covers the cost of tuition fees and provides an annual tax-free stipend at the standard UK research rate.
A PhD position is available within the Computational
Mechanobiology Group at the Julius Wolff Institute (Charite Medical School in Berlin)
on the topic of computational optimization of scaffolds to promote bone
regeneration within large bone defects.
Although bone has the
fascinating ability to self-regenerate after injury, large bone defects often
lead to delayed or non-unions. The treatment of these conditions remains a
clinical challenge for which scaffold-based strategies appear as a promising approach.
In this approach, 3D open porous structures are implanted in the bone defect
with the aim to support bone regeneration. Although, preliminary pre-and
clinical data show encouraging results, there is still a need to optimize these
scaffolds to ensure successful healing. The growth of new bone within the
scaffold is influenced by many factors, such as the scaffold architecture,
material properties, patient health condition, etc. The aim of this project is
to investigate the potential optimization of scaffolds to promote bone
regeneration within large bone defects.
You will develop computer
models to simulate the bone healing process and the interaction between
mechanical signals (strains) within the healing region and biological processes
(e.g. cellular migration, matrix deposition, etc.) taking place. You will
simulate the interaction of the bone regeneration process with scaffold-support
structures and develop algorithms for the computer optimization of the scaffold
design to promote the bone healing process. You will be able to compare model
predictions with experimental data from animal studies (e.g. histology,
microCT) and to have access to patient data. The project is part of a research
collaboration between several Institutes on the topic of “Personalised Bone Defect
Treatment” (Funded by the BMBF).
A degree in Mechanical Engineering/Computer
Science/Mathematical Biology or a related discipline
Knowledge of Finite Element Modelling will be
Experience in Programming is required (e.g. C/C++,
High motivation and strong interest in research
What we provide
This position is available for a period of three years.
Salary will be commensurate with experience. You will work in a friendly team and
in a unique research environment. 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 students. Starting date: 1st
Interested candidates should send a CV, a cover letter and two references that could be contacted.
Please email the application to Prof. Checa via email at: firstname.lastname@example.org
In the context of several National and International Grants, we are seeking two outstanding Post-Doc researchers and/or motivated post-graduate Research Assistants to join us in developing new wearable devices, systems, and data analysis tools for physiological and physical activities monitoring.
The ideal candidate should have the following expertise: – Relevant publications in international journals and experience in fundraising – Fluent English is essential – Excellent interpersonal skills including team working and a collegiate approach. Self-motivation, initiative, and independent thought/working. – Proficient in MATLAB, Python, C, C++ programming – Experience in one or more of the following topics:
1. Wearable systems design and development, encompassing electronic design, assembly and testing, microcontroller-based programming. 2. Body Sensor Networks 3. Real-time data acquisition and processing and related algorithms 4. Experimental protocols on human subjects
We will appreciate if you could send your interest to apply by email to E. Schena (e.schena(AT)unicampus.it), D. Formica (d.formica(AT)unicampus.it) and C. Massaroni (c.massaroni(AT)unicampus.it), including a motivation letter detailing how your research profile relate to the project and a CV.
Dear Colleague, This is the first-call-for-participation to the Advanced International School on Imaging, Modelling and Simulation in Biomechanics and Mechanobiology that we are organizing in the beautiful city of Rome on February, 24th-28th, 2020 (Italy).
The school has been endorsed by the ESB and members of the Society will receive a reduction on the registration fees.
The School will instruct on the importance of a rigorous and multidisciplinary approach for the effective translation of biomechanics models into the clinical practice. Six internationally-outstanding invited lecturers have been selected for covering topics that span from imaging, through theoretical biomechanics, up to computational biomechanics and mechanobiology: Vikram Deshpande, Christian Gasser, Daniel Hurtado, Bruno Quesson, Zohar Yosibash and Alessandro Veneziani.
Classes on basic notions in the morning will prepare attendants to lectures on advanced topics in the afternoon on a wide range of applications.
One session will be dedicated to talks from participants and one day will propose a series of Advanced seminars.
The CuraBone Project is looking for a highly motivated Early Stage Researcher ESR (PhD Students) interested in working in an ambitious multidisciplinary project to work at Materialise (Belgium) and University of Zaragoza (Spain). This ESR position is aimed to pursue part of the scientific objectives of CuraBone through the development of its own Individual Research Project (IRP). Take a look at the project description to know more about the project.
The applications may be done at either recruitment institutions: University of Zaragoza and Materialise. Find more information on how to apply below.
The selected candidate will be employed under a local employment contract for a maximum of 14 months, compatible with national and regional legislation and following the guidelines provided by the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers, including salaries with adequate and equitable social security benefits.
A career development plan will be prepared for the selected candidate in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. For more information please visit the Marie Sklodowska-Curie Actions Innovative Training Networks website.
To apply for the vacancy, please check the eligibility criteria below. If you fulfil all the requirements, send your application with all the necessary records to assess your candidature.
Not be in possession of a doctorate/PhD degree and should have less than 4 years of research experience (starting at the date of obtaining the master’s degree).
At the time of selection by the host institution, the candidate may not have resided or carried out his/her main activity (work, studies, etc.) in the country of their host institution for more than 12 months in the 3 years immediately prior to their recruitment under the project.
For Unizar’s Biomedical Engineering PhD, it is required 300 Graduate ECTS (of which at least 60 ECTS must of Master`s degree)
The applications may be addressed at either both recruiting institutions: University of Zaragoza and Materialise. Find more information to apply below. In case you had any doubts, please do not hesitate to contact us: email@example.com
A career development plan will be prepared for each fellow in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment. For more information please visit Marie Sklodowska-Curie Actions Innovative Training Networks.