ESBiomech24 Congress in Edinburgh

14 PhD scholarships within exciting ITN project!

Mediate – The Medical Digital Twin for Aneurysm Prevention and Treatment

https://cordis.europa.eu/project/id/859836/it

MeDiTATe aims to develop state-of-the-art image based medical Digital Twins of cardiovascular districts for a patient specific prevention and treatment of aneurysms. The Individual Research Projects of the 14 ESRs are defined across five research tracks:
(1) High fidelity CAE multi-physics simulation with RBF mesh morphing (FEM, CFD, FSI, inverse FEM)
(2) Real time interaction with the digital twin by Augmented Reality, Haptic Devices and Reduced Order Models
(3) HPC tools, including GPUs, and cloud-based paradigms for fast and automated CAE processing of clinical database
(4) Big Data management for population of patients imaging data and high fidelity CAE twins
(5) Additive Manufacturing of physical mock-up for surgical planning and training to gain a comprehensive Industry 4.0 approach in a clinical scenario (Medicine 4.0)


The work of ESRs, each one hired for two 18 months periods (industry + research) and enrolled in PhD programmes, will be driven by the multi disciplinary and multi-sectoral needs of the research consortium (clinical, academic and industrial) which will offer the expertise of Participants to provide scientific support, secondments and training. Recruited researchers will become active players of a strategic sector of the European medical and simulation industry and will face the industrial and research challenges daily faced by clinical experts, engineering analysts and simulation software technology developers. During their postgraduate studies they will be trained by the whole consortium receiving a flexible and competitive skill-set designed to address a career at the cutting edge of technological innovation in healthcare. The main objective of MeDiTATe is the production of high-level scientists with a strong experience of integration across academic, industrial and clinical areas, able to apply their skills to real life scenarios and capable to introduce advanced and innovative digital twin concepts in the clinic and healthcare sectors.

For application to 12 already available ESR positions please visit:
https://euraxess.ec.europa.eu/site/search?keywords=meditate

Three new fully funded PhD positions in soft biomechanics and medical technologies at the University of Portsmouth

Three fully funded PhD positions are currently available in the field of soft tissue biomechanics and medical technologies at the School of Mechanical and Design Engineering of the University of Portsmouth (UK).

All of the three projects arise from a close and strong collaboration between the research group of Biomechanics and local and national hospitals. They all have a strong drive in clinical practice, from which the underlying research question originates.

The first project is aimed to predict the artero-venus fistula outcome/evolution in patients undergoing hemodialysis; the second project is aimed to provide an in vivo measurement of heart valves deformation; the third project is focused on improving clinical practice for lesion detection and diagnosis in gastroscopy.

Further details about the three projects are available online at:

https://www.findaphd.com/phds/project/in-silico-assessment-tool-for-reducing-the-risk-of-failure-of-arterio-venous-fistula-avf-in-patients-subjected-to-haemodialysis/?p115898

https://www.findaphd.com/phds/project/investigating-the-physiological-deformation-of-heart-valves-using-in-vivo-and-in-vitro-techniques/?p115894

and
https://www.findaphd.com/phds/project/enhanced-endoscopic-screening-of-polyps-in-the-upper-gastrointestinal-tract/?p116271

Brilliant and ambitious students attracted by multidisciplinary subjects, interested in medical applications and strongly oriented to authentic teamworking are invited to apply.

The three positions are opened for UK/EEA applicants.

The deadline for the online application is Friday 23rd 2020. 

Post-doctoral researcher in Biomechanics at Uppsala University, specifically numerical analysis of injectable materials for spinal applications

Published: 2020-01-20

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 44.000 students, 7.100 employees and a turnover of SEK 7 billion.

The Division for Applied Materials Science, Department of Materials Science and Engineering, the Ångström Laboratory.

The position is for two years starting as soon as possible. 

Tasks: The overarching goal is to evaluate different implant materials for spinal applications, and in particular their suitability for treatment of vertebrae and intervertebral discs.Mainly numerical methods will be used, such as finite element analysis, although some experimental work also will take place. A natural part of the work lies in reporting results, both in scientific journals and at conferences. The project is funded by the EU, and in particular EIT Health.

Qualifications required: To qualify for an employment as a post-doctor, the applicant must hold a PhD degree or a foreign qualification deemed equivalent to a PhD, and the PhD degree must have been obtained no more than three years prior to the application date; however, for example, periods of sick leave or parental leave are deducted from the three-year period.

For this position a PhD degree in engineering physics, mechanical engineering, biomedical engineering, or similar in nearby subjects, is required.

An interest in numerical modelling is a requirement, and experience in biomedical engineering is an advantage. The ability to lead and advance projects, as well as collaborative skills, is important.

Very good written and verbal skills in English is a must.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

For further information about the position please contact Professor Cecilia Persson, Cecilia.persson@angstrom.uu.se.

Salary: Individually negotiated salary.

Starting date: As soon as possible.

Type of position: Temporary position for two years.

You are welcome to submit your application no later than February 14 2020, UFV-PA 2019/4623. 

In case of disagreement between the English and the Swedish version of this announcement, the Swedish version takes precedence.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University´s recruitment system. More details:

https://www.uu.se/en/about-uu/join-us/details/?positionId=311258

4th ESB Webinar announced: “FEBio, a Nonlinear Finite Element Solver for Biomechanics “

We are delighted to announce the 4th webinar of the ESB Webinar Series which will introduce the FEBio Software Suite. The webinar will take place on March 30th 2020 at 17:00 CET.

This seminar has been co-organised by the ESB and VPHi student committees.


FEBio is a freely-available finite element solver designed specifically for solving problems in computational biomechanics and biophysics. This webinar on the FEBio software project will be focused mostly on new FEBio users and aims to:

  • Introduce FEBio and provide an overview of its capabilities.
  • Introduce FEBio Studio, a new integrated environment for setting up, running, and analyzing FEBio models.

At the end of this webinar, attendees will have learned the basic steps for working with FEBio and FEBio Studio, including how to:

  • Import surface and CAD geometry into FEBio Studio and generate FE meshes.
  • Set up boundary conditions, material parameters, and analysis settings.
  • Run the FEBio solver from within FEBio Studio.
  • Visualize and animate the FEBio results.

The webinar will be conducted by Dr. Steve Maas. He received his Master’s in Physics from the University of Antwerp, Belgium, in 2002 and his PhD in Computing from the University of Utah, USA, in 2017. Since 2005, he has been employed at the Musculoskeletal Research Laboratory at the University of Utah where he has been the lead software developer on the FEBio software project. FEBio is a finite element solver designed specifically for solving problems in computational biomechanics and biophysics. It accomplishes this by focusing on constitutive models, loading conditions, and modeling scenarios that are relevant to these research domains. Steve Maas has also created the PreView and PostView supporting software packages, which are used for pre-processing and post-processing, respectively, FEBio models. He is also the lead on the new FEBio Studio project, which is a fully integrated environment that combines many of the pre- and post-processing and solver capabilities, in a single unified interface.

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.soodmand@charite.de and/or rodrigo.romarowski@grupposandonato.it  before the start of the webinar.

Click here to register for the webinar.

Please Subscribe to our YouTube channel! (https://www.youtube.com/esbiomech ) and set a reminder for yourself via YouTube (https://www.youtube.com/watch?v=dFsosn8Cn0Y)

Looking forward to your attendance.

ESB Student Committee


PhD in Bath: Multiscale Analysis of the interactions between a Novel Total Artificial Heart and the Native Cardiovascular System

Project Description

Project team: Dr Katharine Fraser (k.h.fraser@bath.ac.uk) & Dr Andrew Cookson (a.n.cookson@bath.ac.uk)

Project
Over 500,000 people in the UK suffer from heart failure, with 14,000 admitted to hospital each year and 10,000 deaths. Worldwide, 26 million have heart failure, with a predicted increase of at least 46 % by 2030. The health expenditure on heart failure in the US alone is $31 billion. For patients with severe end-stage heart failure the only hope of long term survival is a heart transplant. However, donor hearts are scarce, resulting in fewer than 200 heart transplants/year in the UK. Alternative treatments are urgently needed to keep patients alive until a donor heart can be found. One alternative is a Total Artificial Heart (TAH): a machine to completely replace the native heart. Unfortunately, the only TAH on the market suffers from several issues.

Scandinavian Real Heart AB are developing a TAH with a completely novel pumping concept based on displacement of a piston and valve. It is hypothesized that the use of positive displacement, rather than rotation, has major advantages for physiological compatibility. This project will then investigate the interactions between the mechanical device and the native cardiovascular system, with the overall aim of assessing the biocompatibility of the device to aid design optimisation and regulatory approval. Specifically, the aims are to quantify the level of blood damage caused by the TAH, and find the effect of pulse wave it generates on the human arterial system.

The research will involve:
• the use of computational fluid dynamics to simulate blood flow within the Real Heart
• the development of numerical models for damage to the different blood cells
• the use of mathematical modelling to investigate pulse waves in the arteries
There is also the opportunity to perform experimental validation of the numerical results.

Through this PhD the student will become an expert in computational and mathematical modelling of fluid flows, including commercial and opensource software, and in-house code development. By working with Real Heart the student will develop teamwork and communication skills; to strengthen these the student will be based with the company in Sweden for 3 months. The University’s DoctoralSkills training includes a wide range of transferable skills courses. The student will write high impact journal papers and present at leading international conferences. Healthcare technology and biomedical devices are rapidly growing industries; a PhD in this area would equip the student with sought after skills and qualify them for a range of opportunities.

This project is an outstanding opportunity to help bring the next generation of mechanical heart pumps to the clinic. In addition, the research will contribute to fundamental science in incompressible fluid mechanics, blood trauma, and arterial dynamics, and develop new simulation techniques to advance the field of mechanical circulatory support development.

Candidate:
The successful applicant will ideally have graduated (or be due to graduate) with an undergraduate Masters first class degree or very good 2:1 or MSc distinction (or equivalent). English language requirements must be met at the time of application to be considered for funding.

More Details:

https://www.findaphd.com/phds/project/multiscale-analysis-of-the-interactions-between-a-novel-total-artificial-heart-and-the-native-cardiovascular-system/?p110261

Application:
Formal applications should be made via the University of Bath’s online application form for a PhD in Mechanical Engineering. Please ensure that you state the full project title and lead supervisor name on the application form.

https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUME-FP01&code2=0014

A full application must be submitted by the application deadline, including all supporting documents, to enable review.

More information about applying for a PhD at Bath may be found here:

http://www.bath.ac.uk/guides/how-to-apply-for-doctoral-study/

Anticipated start date: Monday 30 March 2020

Funding Notes

Funding is for up to three and a half years. It includes UK/EU tuition fees, training support fee of £1,000 per annum and a Maintenance stipend of £15,009 per annum (2019/0 rate). EU students are eligible to apply if they have been resident in the UK for 3 years prior to the funding commencing.

Research Assistant in Murnau

 As of April 1, 2020 we are looking for a  Research Assistant (PreDoc, m/f/d)  to strengthen our team at the Institute for Biomechanics  initially limited to 3 years. 

Your duties: 

 Collaboration in the research project “Population variability in orthopaedic bio-mechanics”. The aim is to develop and mechanically characterize materials that serve as synthetic bones for the development and validation of new implants. The methodological focus is on biomechanical testing, medical imaging and finite element analysis. 

 Preparation of and participation in scientific reports and publications 

 Presentation of research results at scientific events at home and abroad 

 Submission of research proposals, participation in externally funded projects 

 Cooperation in teaching and supervision of interns 

Your profile: 

 A completed diploma or master’s degree in biomedical engineering, medical technology, mechanical engineering, civil engineering, technical physics, materials science or equivalent studies in Germany or abroad 

 Craftsmanship and pleasure in manual laboratory work 

 Basic experience in scientific work 

 Programming experience and affinity to statistical analysis methods 

 Strong communication skills and very good knowledge of German and English, both written and spoken 

 Reliability, an independent way of working and pleasure in participating in in-ter-disciplinary teams 

Our offer: 

 A modern working environment with varied activities in a constantly growing clinic with excellent infrastructure and equipment 

 A comprehensive and structured induction training with regulated procedures 

 Further education and development opportunities (e.g. a doctorate at the PMU Salzburg) 

 Support of a work-life balance through flexible working hours and at least 30 days of vacation 

 Attractive remuneration according to TV-BG Kliniken as well as additional social benefits and employee benefits in the region 

The inclusion of people with disabilities corresponds to our self-image and we therefore welcome your application. 

Please send your application with a letter of motivation, curriculum vitae and certificates to the Institute of Biomechanics at the BG Unfallklinik Murnau, Prof.-Küntscher-Str. 8, 82418 Murnau or by e-mail to biomechanik@bgu-murnau.de or via our career portal (www.bgu-murnau.de). We are looking forward to meeting you! 

PhD Position “Machine Learning in Biomechanics”

The ARTORG Center for Biomedical Engineering Research is the University of Bern´s transdisciplinary Center of Excellence for medical technology research. Its mission is to tackle unmet clinical needs and envision future challenge in diagnosis, monitoring and treatment to create viable healthcare technology solutions with imagination, agility and purpose. Its projects run from discovery and basic research to clinical translation. 

The Computational Bioengineering Group has opened a Ph.D. Student position in machine learning to evaluate the risks of failure of total shoulder arthroplasty. You will develop machine learning algorithms to better understand the biomechanics of shoulder replacements and improve patients’ care. You will be part of an inter-disciplinary project funded by the Swiss National Science Foundation (www.snf.ch) performed in collaboration with the Swiss Federal Institute for Technology (www.epfl.ch), and the Lausanne University Hospital (www.chuv.ch). 

You will integrate a research group that develops experimental and computational methods in biomechanics to test original scientific hypotheses, develops new diagnostic methods, and medical devices. 

Your tasks 

– Develop algorithms to analyze medical image and generate patient-specific finite element models 

– Quantify anatomical degeneration of the hard and soft tissues of patients undergoing total shoulder replacement 

– Infer the pre-morbid anatomy of degenerated shoulder joints 

– Determine the optimal treatment strategy from pre-operative data and population-based finite element simulations 

Qualifications required 

– Master’s degree in computer science, engineering, or applied mathematics. 

– Experience and/or course work in computer vision and machine learning 

– Solid programming skills in Python or C/C++/C# 

– Background in mechanics and computational methods 

– Hands-on experience with finite element analysis would be a distinctive asset 

– Strong communication skills in English required (working language at the ARTORG Center) 

We offer 

– Creative and international environment to conduct competitive research in an interdisciplinary team 

– Strong links to the Bern University Hospital (Inselspital) and Lausanne University Hospital (CHUV) to provide a coherent view of how computer modeling in healthcare can benefit patients 

– Competitive salary (according to the guidelines of the Swiss National Science Foundation) 

– Expected starting date; summer 2020 

– Free German courses available for those wishing to learn 

Application Interested candidates should send their detailed resumes with references, motivation letter, abstract of your MSc thesis, and school transcripts to Prof. Philippe Büchler, philippe.buechler@artorg.unibe.ch. 

About the University of Bern The University of Bern is located at the heart of Switzerland. Internationally connected and regionally anchored, it cultivates exchange with society and strengthens partnerships between science, medicine, business, and politics. The University of Bern is committed to a deliberate and ethical responsibility towards people, animate and inanimate nature. As an important educator, promoting enterprise and industry in the region and beyond, it distinguishes itself through problem-oriented research into questions of pressing social relevance. The University of Bern is an equal opportunity employer, promotes healthy work-life-balance and safe working environments, and strives to increase the number of women at all levels in its faculties. 

VPHi-ESB webinar about “HIGH-THROUGHPUT MULTICELLULAR SIMULATION STUDIES WITH PHYSICELL”


The ESB endorses and co-organise this webinar of the VPHi Keynote Webinar Series will take place on 24 January 2020 at 16 CET featuring Prof Paul Macklin from Indiana University.

Abstract

Multicellular systems are complex, multiscale dynamical systems where cells interact with one another and their environment physically and chemically. To investigate these systems, at Indiana University they developed open source software including BioFVM for biological diffusion and PhysiCell: an agent-based model platform. Prof Macklin will introduce PhysiCell in a variety of problems in cancer, immunotherapy, and engineered multicellular systems. He will also show his plans for a growing, sustainable open source community and software ecosystem, including training materials, automated GUI generation for cloud-hosted models, visualization, extension with molecular-scale models, and more. Finally Prof Macklin will shows how machine learning and high performance computing (HPC) can enhance our investigations to allow high-throughput biological hypothesis testing. 

Prof Paul Macklin

Paul Macklin is a mathematician, Associate Professor, and Director of Undergraduate studies in the recently-established Department of Intelligent Systems Engineering at Indiana University. He works with biologists, modelers, and clinicians to develop and validate sophisticated 3D computer models of cancer and other multicellular systems, using the open source PhysiCell platform developed by his lab. He also works with the National Cancer Institute and the Department of Energy to co-lead a national initiative to create digital twins for the future of personalized predictive cancer medicine.

Registration linkhttps://attendee.gotowebinar.com/register/7839011435273490188

More informations

https://www.vph-institute.org/webinar/high-throughput-multicellular-simulation-studies-with-physicell.html

Professor in Computational Biomechanics – University of Sheffield, UK

Closing date: 07/01/2020
Employer: The University of Sheffield (Department of Mechanical Engineering)
Location: Sheffield

Description

Salary: A competitive salary will be offered in line with the University of Sheffield’s Professorial Pay Scheme: www.sheffield.ac.uk/hr/thedeal/professorial/structure

The University of Sheffield is looking to expand its vibrant Mechanical Engineering community through recruitment to a number of academic positions. They are looking for individuals who will contribute to maintaining a welcoming, inclusive, diverse and inspiring environment for students and whose expertise will complement and enhance our existing research capabilities.
A key part of this role will be developing and supporting staff and students at earlier stages of their careers, meaning we are looking for individuals with a passion for leadership and people development.
You will have a clear idea of your research vision, how this builds upon our current departmental portfolio, and the ways in which it may influence our future direction.
You will be equally passionate about teaching, with a willingness and enthusiasm for accepting and implementing new approaches in this area.
Mechanical Engineering has been a major discipline in the University of Sheffield since its foundation in 1905 and is a thriving department within the University’s Faculty of Engineering. We are one of the UK’s leading departments of Mechanical Engineering, and are home to over 1000 students (Undergraduate, Postgraduate Taught and Postgraduate Research), over 60 academic staff. The year 2020 is an exciting time for you to join our department, as we shall be moving into our new £50m home – the Engineering Heartspace!

The Insigneo Institute for in silico Medicine is known for its cutting-edge research in the development of biomechanics methods for neuro-musculo-skeletal, cardiovascular, respiratory, or urinary pathologies. Insigneo is the largest European research institute dedicated to Computational Medicine, with the aims to realise the scientific ambition behind the Virtual Physiological Human, producing a transformational impact on healthcare. Insigneo performs innovative research in areas of fundamental and applied biomedical modelling, imaging, and informatics.

You will be an internationally renowned academic or senior industrial technologist with experience of delivering high-quality research in Computational Biomechanics. You will have a good first degree and a PhD in a relevant discipline. You will be able to provide effective leadership and you will have excellent interpersonal and communication skills, and experience of developing and delivering high-quality teaching at a variety of levels. Based here in the department you will continue to develop your own academic career, contributing strongly in teaching, research and scholarship that is recognised internationally for its originality, significance and rigour.
Find out more about working in the Department of Mechanical Engineering: https://www.sheffield.ac.uk/mecheng/…k-with-us-2019

How to apply?

To apply visit our job pages (https://www.sheffield.ac.uk/jobs) and search for vacancy number: UOS024690.

Contact details

If you would like to talk to someone informally about this job and the recruiting Department, please contact our Head of Department, Professor Neil Sims n.sims@sheffield.ac.uk 

If you have any administration queries and details regarding the application process, contact Julie Fryer j.e.fryer@sheffield.ac.uk 

If you would like an informal tour of our facilities prior to the formal interview process, please contact our Department Technical Manager: Phillip Pickstock p.pickstock@sheffield.ac.uk 

For more information or queries regarding the areas we are looking to recruit to please contact Professor Claudia Mazzà c.mazza@sheffield.ac.uk.

PhD position at the University of Zaragoza

Position and project

The Biomedical Signal Interpretation and Computational Simulation group at the University of Zaragoza (Spain) seeks a PhD Student to work on the interface between Cardiac Electromechanical Modeling and Artificial Intelligence in the context of ischemic heart disease.

The position is part of the BRAV∃ project funded by Horizon 2020 programme of the European Commission. BRAV∃ aims at providing a lasting functional support to injured hearts through the fabrication of personalized tissue engineering-based biological ventricular assist devices (BioVADs). This ambitious project will combine multimodal deep cardiac phenotyping, advanced computational modeling and biomechanical analysis in a large animal model of disease to create a personalized 3D printable design.

The candidate will work on developing deep-learning neural networks trained on simulated data from large-scale physics-based electromechanical swine models, which is expected to allow obtaining simulated electromechanical data in an efficient way while maintaining accuracy as high as possible. The proposed multidisciplinary approach ultimately aims at contributing to shed light into the interaction between BioVADs and recipient hearts.

Qualifications

Candidates must hold an MSc in Engineering, Mathematics or Physics or similar discipline.

Expertise in computational modeling and/or signal processing is recommended. Strong oral and written communication skills in English are a must. Experience in Python and/or C++ programming is preferred. Previous experience with numerical methods for solving PDEs (e.g. Finite Element Method, Meshless Methods), Artificial Intelligence (e.g., neural networks) and CUDA programming is considered a plus.

The I3A Institute at University of Zaragoza

The Aragon Institute of Engineering Research (I3A), within the University of Zaragoza, comprises more than 500 researchers and a vibrant environment for multidisciplinary research.

Every year I3A participates in more than 300 research projects funded with over 10 M€ and more than 200 contracts with industry with 5 M€ turnover. Around 50 PhD theses supervised by I3A members are defended and nearly 300 papers are published in JCR journals every year. The Biomedical Signal Interpretation and Computational Simulation group at I3A, University of Zaragoza, is a leading expert in the development of signal processing tools to aid in the diagnosis, prognosis and treatment of cardiovascular diseases and conditions. This expertise is combined with modeling and simulation of cardiac electrophysiology to investigate causes and consequences of the phenomena observed from the processed signals.

Application

For additional information about the position, please contact Dr. Esther Pueyo

(epueyo@unizar.es) or Dr. Konstantinos Mountris (kmountris@unizar.es).


Corporate members of the ESB:

AMTI force and motion logo
BERTEC logo
Beta CAE logo
BoB Biomechanics logo
Materialise logo
Nobel Biocare logo