ESBiomech24 Congress in Edinburgh

PhD studentship in “Strain Measurement in Osteoarthritic Cartilage (SMOC)”

Applications are invited for a fully-funded three year PhD to commence in October 2019. 

The PhD will be based in the School of Pharmacy and Biomedical Sciences and will be supervised by Professor Gordon Blunn and Dr Gianluca Tozzi. 

The work on this project will investigate: 
– the strain distribution in normal human articular cartilage obtained from bone cancer specimens
– the strain distribution in human OA samples taken from the tibial plateau during total knee replacement 
– the strain distribution in specimens taken at different time points (longitudinal study) from animal models that develop OA 

Project description 


Osteoarthritis (OA) affects over 250 million people worldwide, impacts more than half of the population over the age of 65 and is predicted to increase 7-fold by 2030. Our understanding of the aetiology and 
pathogenesis of OA remains incomplete despite numerous research studies over several decades and treatments have been largely unsuccessful. 

Early OA is associated with early changes in the architecture and volume of subchondral bone, which has led many in the field to think of OA as a disease of the ‘whole joint.’ The focus on bone changes as the initial effector of the osteoarthritic process is influenced by studies proposing how pathogenesis of OA can be attributed to a primary alteration in surrounding bone, which leads to increased strains in the the overlying articular cartilage. This adversely affects chondrocyte function and cartilage matrix loss. This hypothesis is supported by numerous studies which have demonstrated that changes in bone occur very early in the development of OA. However, cartilage and bone both have the capacity to respond to adverse biomechanical signals and, therefore, it is more likely that both tissues undergo structural and functional alterations during the initiation and evolution of OA. The extent, the interrelated effect on bone and cartilage and the precise timing of these changes remains unknown. 

The strain in the subchondral bone and in the cartilage will be investigated using high-resolution 3D X-ray computed tomography (XCT), using both adsorption and phase-contrast imaging. Specimens will be subjected to in situ mechanical loading and imaged at increasing incremental loads. The degree of strain will be determined using digital volume correlation (DVC) and its distribution related to the degree of damage using histology and immunohistochemistry, which will detect the breakdown of the cartilage matrix. 

The University of Portsmouth is uniquely positioned to answer this research question with its state-of-the-art imaging facilities available at the Zeiss Global Centre as well as world-leading experience in digital volume correlation in musculoskeletal research. The project will develop and train a PGR student in the large research area of osteoarthritis, but at the same time will utilise new techniques to address the research question. The student will utilise and develop skills, which could be applied to other aspects of biomedical engineering giving them a number of potential career opportunities after completing the PhD. 

General admissions criteria 


You’ll need a good first degree from an internationally recognised university (minimum second class 
or equivalent, depending on your chosen course) or a Master’s degree in a relevant subject area . In exceptional cases, we may consider equivalent professional experience and/or Qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0. 

How to Apply 

We’d encourage you to contact Professor Gordon Blunn (gordon.blunn@port.ac.uk) to discuss your interest before you apply, quoting the project code. 

When you are ready to apply, you can use our online application form and select ‘Biomedical, Biomolecular and Pharmacy’ as the subject area. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process. 

If you want to be considered for this funded PhD opportunity you must quote project code PHBM4820219 when applying. 

Funding Notes

The bursary is available to UK and EU students only and covers tuition fees and an annual maintenance grant in line with the RCUK rate (£14,777 for 2018/19) for three years.

Two PhD studentships at the ARTORG Center for Biomedical Engineering Research University of Bern, Switzerland

PhD Student in Computational Biomechanics

for a period of three years starting in the spring 2019.

The outstanding candidate will be integrated in a research group in biomechanics combining experimental and computational methods to test original scientific hypotheses and develop new diagnostic methods or medical devices. She/he will work on a research project funded by the Swiss National Science Foundation that will develop a new diagnostic tool for osteoporosis.

The project is initiated in cooperation with the Service for Bone Diseases of the University of Geneva (HUG) as well as the Polyclinic for Osteoporosis of the University Hospital in Bern. The candidate will advise undergraduate students in her/his domain of expertise and may be involved in teaching of biomedical engineering.

The University of Bern aims at increasing the proportion of women in its scientific personnel and explicitly encourages qualified women to apply for this position. The salaries correspond to the ones published by the Swiss National Science Foundation (www.snf.ch) and the academic track is managed by the Graduate School in Cellular and Biomedical Sciences of the University of Bern (www.gcb.unibe.ch).

Please, send your application, including a letter of motivation, complete CV and records before February 28th 2019 to

Prof. Philippe Zysset, Institute for Surgical Technologies & Biomechanics, University of Bern, Stauffacherstrasse 78, CH-3014 Bern

www.istb.unibe.ch

philippe.zysset@istb.unibe.ch


PhD Student in Medical Image Processing

for a period of three years starting in the spring 2019.

The outstanding candidate will be integrated in a research group in biomechanics combining experimental and computational methods to test original scientific hypotheses and develop new diagnostic methods or medical devices. She/he will work on a research project funded by the Swiss National Science Foundation that will develop a new diagnostic tool for osteoporosis.

The project is initiated in cooperation with the Service for Bone Diseases of the University of Geneva (HUG) as well as the Polyclinic for Osteoporosis of the University Hospital in Bern. The candidate will advise undergraduate students in her/his domain of expertise and may be involved in teaching of biomedical engineering.

The candidate must hold a Master’s Degree in biomedical engineering or related field. A solid background in mathematics and image processing is essential, practice in statistical shape modeling, broad programming skills are necessary and project related experience in biomechanics is advantageous. Strong writing skills in English are indispensable, while knowledge of French or German is desired.

The University of Bern aims at increasing the proportion of women in its scientific personnel and explicitly encourages qualified women to apply for this position. The salaries correspond to the ones published by the Swiss National Science Foundation (www.snf.ch) and the academic track is managed by the Graduate School in Cellular and Biomedical Sciences of the University of Bern (www.gcb.unibe.ch).

Please, send your application, including a letter of motivation, complete CV and records before February 28th 2019 to

Prof. Philippe Zysset, Institute of Surgical Technologies & Biomechanics, University of Bern, Stauffacherstrasse 78, CH-3014 Bern

www.istb.unibe.ch

philippe.zysset@istb.unibe.ch

PhD position in spinal implant design

This PhD project will focus on materials development and implant design for spinal fusion. Numerical models will be used to design and structurally optimize a bioactive, osteoinductive spinal fusion device based on a combination of ceramics and metals. 3D printing will be used to produce prototypes for initial mechanical evaluation of the developed implants in an ex vivo model, guided by standards on intervertebral devices. The project will be performed mainly at Uppsala University, and in collaboration with OssDsign AB. Main supervision will be undertaken by Prof. Cecilia Persson (UU), with co-supervision from Prof. Per Isaksson (Solid mechanics, UU) and Dr Kajsa Björklund (OssDsign AB). The position is part of a large EU-funded Marie Sklodowska Curie Innovative Training Network, NU-SPINE (nu-spine.eu) and includes secondments at OssDsign AB, Sweden (PM10-12) and University of Leeds, UK (PM20-23).

More details: https://www.uu.se/en/about-uu/join-us/details/?positionId=239509

PhD in Multiscale simulations for translational explorations of emphysema

POSITION DESCRIPTION

-Research Project / Research Group Description:

The proposed PhD will involve the Biomechanics and Mechanobiology, the Image analysis and the machine learning laboratories of the BCN MedTech research unit at the University Pompeu Fabra (UPF). BCN MedTech focuses on biomedical integrative research, including mathematical and computational models, algorithms and systems for computer-aided diagnosis and treatment of health problems. It has 60 full time researchers and belongs to the Department of Information and Communication Technologies, awarded with the prestigious label of Unit of Excellence through the Spanish Maria de Maeztu Strategic Research Program.
The project focusses on multiscale modelling and simulations to identify early biomarker candidates in emphysema. Emphysema is the most harming form of chronic obstructive pulmonary diseases (COPD) and its current diagnostic is usually confirmed at a relatively advanced stage of disease progression, through computed tomography image analyses. In order to cope with this limitation and support the early prevention of emphysema progression, we propose a multiscale modelling approach that combines image analysis, tissue finite element modelling and cell-cytokines agent-based modelling. Such approach has already allowed successful simulation of emphysema progression, as a response to cigarette smoking [1]. The proposed PhD will push forward this research towards the use of disease mechanism models for the identification of early emphysema biomarkers.

-Job position description:

Specifically, the work will include
• The development and implementation of advanced constitutive equations for the lung parenchyma
• The systematic evaluation of computational networks to simulate the dynamics of the biological processes that control the turnover of parenchyma macromolecules
• The meta-analysis of patient data and multiscale simulation results
The grant is supported by a European Marie Sklodowska-Curie co-fund and provides a competitive gross annual salary of 34.800 € during a period of three years to attract young talents. This salary is supplemented by a research allowance of 3.564 € per year, and a PhD award of 7.500 € will be granted if the PhD thesis is submitted within 6 months after the end of the fellowship.

The successful candidate will work in the Poble Nou Campus of UPF, in the beautiful town of Barcelona, in collaboration with the Barcelona Super Computing center for the multiscale simulations, and with ISGlobal for epidemiological data.

Applicants are expected to have a bachelor’s and master’s degrees in biomedical engineering, physics, applied mathematics or any related fields. They should be motivated to work in an international environment and have good communication skills. Experience in Python programming is welcome and proficient English is mandatory.

– Deadline for application: February 6th 2019

Apply here: https://www.lacaixafellowships.org/index.aspx

For any inquiry, please contact Dr Jerome Noailly: Jerome.noailly@upf.edu

PhD Positions in Failure Criterion for Implanted Bone Screws @KLKREMS

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 and Tulln. The university offers degree programs in Human Medicine, Psychotherapy, Counselling Sciences and Psychology and are tailored to the requirements of the Bologna model, opening the door to new, cutting-edge health professions. 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.

Starting at November 2018, the department of anatomy and biomechanics (division of biomechanics, Prof. Pahr, Dr. Reisinger) offers a research position, which is limited to the duration of three years:

Research Assistant m/f (Pre Doc, 30 h)

Your responsibilities:

  • Participation in the funded research project “A morphology based failure criterion for implanted bone screws”
  • In more detail: using of micro CT imaging, biomechanical testing, continuum mechanics, and 3d- printing
  • Programming of evaluation- and analysis scripts
  • Assistance in teaching in the fields of mathematics, physics, informatics and biomedical engineering
  • Engagement in other research projects

Your profile:

  • Degree in civil or mechanical engineering, biomedical engineering, technical physics, or similar fields
  • Basic knowledge in programming, biomechanics, imaging (CT), experimental material
  • characterization
  • Good English skills
  • The willingness to support teaching, experience is of advantage
  • Self-responsible and reliable working approach
  • Interest on scientific working and writing a dissertation
  • Friendly and team oriented personality

Your perspective:

  • You can expect a challenging job in an internationally recognized and highly motivated team
  • Achieve the academic degree of a PhD (Dr. techn.), issued from the TU Vienna.

The Karl Landsteiner University of Health Sciences is dedicated to achieving a balanced mix of male and female academic and non-academic staff. Consequently, applications from female candidates are particularly welcome.

The minimum gross salary for this position is € 2.112,40 (30 h).

Applications should include a motivation letter, curriculum vitae, and credentials and should be mailed by 17.10.2018 to Ms. Christina Schwaiger of the Karl Landsteiner University of Health Sciences, Dr.-Karl- Dorrek-Straße 30, 3500 Krems, Austria (bewerbung@kl.ac.at).

Applications Engineer – Simpleware Software, Exeter, UK

Applications Engineer

18295BR

GREAT BRITAIN – Exeter

Job Description and Requirements

Overall purpose of job

Simpleware software is currently looking for a motivated applicant to join the technical support team. You should be passionate about working with image processing and 3D modelling software, and with providing technical knowledge and sales support. You will also be responsible for generating papers and promotional material which will require you to work very closely with customers and partners.

We offer a competitive salary for this position.

The closing date for this job posting is the 10th of September, 2018

Primarily, this will involve

  • Providing high quality and reliable technical support for our clients
  • Organising software demonstrations, workshops, and training
  • Visiting potential clients, and attending conferences and exhibitions
  • Generating proposals, papers, reports, press releases, software documentation, tutorials, etc.
  • Establishing new, and maintaining existing, long-term relationships with customers, partners and the media

Knowledge, experience, skills, and competencies

  • Qualified at least to first degree level in an Engineering related subject – preferably a first or 2:1
  • Experience using CAD, FEA (e.g. Abaqus, Ansys, Comsol, etc.) or CFD (e.g. Fluent, OpenFOAM, etc.) codes
  • Good knowledge of either image processing, biomechanical or materials modelling
  • Excellent presentation, communication and interpersonal skills
  • Strong personal organisation, with good project management skills and ability to work to deadlines
  • Strong project management ability, personal organisation and customer focus
  • Self-motivation and ability to work on own initiative whilst being a team player
  • Knowledge of scripting languages (e.g. Python) and web technologies (HTML, CSS, Java Script, PHP and MySQL) would be useful/an advantage

PhD Project – Cardiff / Synopsys Inc Exeter, England, United Kingdom

Job description

Synopsys NE Ltd (https://www.synopsys.com/simpleware.html) invites applications for an Early Stage Researcher position (Doctoral Candidate) as part of the Rapid Biomechanics and Simulation for Personalized Clinical Design (RAINBOW) MCSA European Training Network. RAINBOW is funded under the European Union’s Horizon 2020 research and innovation program.

The post holder will be employed on a fixed term (36-month contract) and be principally based at the Synopsys-Simpleware offices in Exeter UK but will also be enrolled as a full time graduate student at Cardiff University (http://www.cardiff.ac.uk/) undertaking research towards a PhD degree award. The candidate will be expected to spend periods of time in Cardiff as well as with other partners in the consortium.

The post holder will develop numerical methods to simulate the deformations of soft-tissues in the context of computer-aided surgery. In particular, he/she will contribute to bridging the gap between advanced 3D imaging techniques and physics-based computer simulations in order to improve current capabilities in the area of computer-aided diagnostic and surgical planning. A thorough knowledge of software development is essential.

This is a full time (37.5 hours per week) position on a fixed term basis for a fixed-term of 36 months.

See https://www.linkedin.com/jobs/view/755835607/ for further details

PhD Project – Luxembourg / Synopsys Inc Exeter, England, United Kingdom

Job description

Synopsys NE Ltd (https://www.synopsys.com/simpleware.html) invites applications for an Early Stage Researcher position (Doctoral Candidate) as part of the Rapid Biomechanics and Simulation for Personalized Clinical Design (RAINBOW) MCSA European Training Network. RAINBOW is funded under the European Union’s Horizon 2020 research and innovation program.

The post holder will be employed on a fixed term (36-month contract) and be principally based at the Synopsys-Simpleware offices in Exeter UK but will also be enrolled as a full time graduate student at the University of Luxembourg (https://wwwen.uni.lu/) undertaking research towards a PhD degree award. The candidate will be expected to spend periods of time in Luxembourg as well as with other partners in the consortium.

The post holder will develop numerical methods to simulate the deformations of soft-tissues in the context of computer-aided surgery. In particular, he/she will contribute to bridging the gap between advanced 3D imaging techniques and physics-based computer simulations in order to improve current capabilities in the area of computer-aided diagnostic and surgical planning. A thorough knowledge of software development is essential.

This is a full time (37.5 hours per week) position on a fixed term basis for a fixed-term of 36 months.
See https://www.linkedin.com/jobs/view/755834914/ for further details.

PhD: mechanics of a synthetic elastic protein and effects on arterial function @ Lyon

Doctoral thesis at the Center for Biomedical and Healthcare Engineering

Mines Saint-Etienne – SAINBIOSE (INSERM-U1059) – Université de Lyon (France)

 

Mechanical characterization and modeling of a synthetic elastic protein and its effects on the arterial function

 

Keywordsbiomechanics, multiscale models, homogenization, elastin, mechanical characterization, tissue engineering.

 

Scientific context: Elastin is the main elasticity provider for several soft tissues (such as dermis, arteries, pulmonary alveoli) in its fibrous form and a signaling molecule in cell/extracellular matrix interaction. Elastin-rich elastic fibers allow the large artery walls to transform the pulsatile blood flow ejected by the heart into a continuous blood flow in the peripheral arteries (Windkessel effect). Dysfunctions are highly correlated with diseases such as artery stenosis, aneurysm, hypertension or cardiac hypertrophy, which have strong repercussions on arterial biomechanics and can threaten the vessel integrity.

Setting aside surgery, there is currently no treatment for preventing, blocking or treating any loss of elasticity. It therefore appears, from a biomechanical point of view, that the introduction of an entity that provides elasticity within the arterial wall would be the most trivial action to stop arterial stiffening, but remains currently limited due to chemo-biological issues. The Arterylastic project, to which the thesis is linked, proposes to unlock this technological barrier using an original synthetic elastic protein (SEP) recently developed with a synthetic backbone devoted to skin engineering.

 

Academic contextAs previously mentioned, the thesis takes place in a larger project named Arterylastic, funded by ANR, combining pluridisciplinary approaches of three laboratories in France: LBTI – the Laboratoire de Biologie Tissulaire et Ingénierie Thérapeutique (UMR5305 CNRS/UCBL1 Lyon), HP2 –Hypoxie Physiopathologie Cardiovasculaire et Respiratoire (INSERM U1042 – University Grenoble Alpes) and Sainbiose (within the Center for Biomedical and Healthcare Engineering CISSAINBIOSE/INSERM U1059 – Mines Saint-Etienne). The PhD student will work at CIS, which also conducts major international research projects in the field of soft tissue biomechanics, in particular aortic aneurysms. He will collaborate with other researchers involved in ERC projects (https://www.mines-stetienne.fr/en/author/avril/, https://www.emse.fr/~badel/).

 

ObjectivesThe objective is to restore (or at least improve) arterial function and mechanical properties under conditions of elastic fibers injury. The objective will be reached if the SEP is correctly integrated into elastic fibers and if the SEP restores arterial wall elasticity and/or physiological parameters in relevant animal models. In this thesis, we will evaluate the mechanical behavior of the cross-linked SEP and of arterial samples from treated mouse models and a numerical model will be developed from experimental data to better predict treatment parameters.

The main tasks will be:

  1. Experimental tests will be carried out for characterizing the macroscopic mechanical properties of the SEP and of arteries treated with the SEP. The cross-linked SEP will be characterized using tensile tests with a customized device. Mechanical parameters of treated arteries will be assessed by measuring pressure-diameter curves from mouse arteries tested in a customized tension-inflation test.
  2. A multiscale numerical model of the mechanical behavior of arteries will be elaborated, taking into account their microstructural composition and morphology (bilayer, specific contributions of elastin, collagen, smooth muscle cells, possible proteoglycans) and including the effects of possible grafting of the SEP to the arterial wall. The model will be tested for arteries with competent elastic fibers, for arteries with damaged elastin and induced-tissue remodelling, and for arteries treated with the SEP.
  3. The experimental results obtained at task 1 will be used to evaluate and calibrate the prediction ability of the numerical model developed in task 2. Sensitivity analysis permitting to find the optimal treatment conditions with the SEP for different types of therapeutic targets will be addressed.

 

Candidate profileCandidates with strong skills in mechanics (modeling and experimental) and biomechanics are expected. Motivation and interest in bioengineering applications is recommended.

 

How to apply:Send CV, cover letter and letters of recommendation to claire.morin@emse.fr and avril@emse.fr.

PhD in Platelet Biomechanics @ University Medicine Greifswald

Position

One PhD position is available at University Medicine Greifswald, Greifswald, Germany within the newly funded Deutsche Forschungsgemeinschaft (DFG) Transregional Collaborative Research Center (SFB / TR 240) “Platelets – Molecular, Cellular and Systemic Functions under Physiological and Pathological Conditions”. The project will start in July 2018 and runs until June 2022. Salary is based on TV-L (E-13, 65%).

Project Description

The selected candidate will investigate the ‘Role of the Platelet Cytoskeleton in Platelet Biomechanics’. Briefly, circulating platelets are essential players in haemostasis and thrombosis. Interestingly, mutations in several genes of cytoskeletal-regulatory proteins have been identified to cause inherited thrombocytopenia. However, how defects in cytoskeletal-regulatory proteins affect biomechanical properties of platelets and how translates into increased risk of bleeding are only poorly explored. The PhD candidate will have access to relevant disease models and innovative biophysical tools to quantitatively describe the underlying ‘biophysical’ and ‘biomechanical’ aspects of platelet cytoskeleton-associated defects in platelet function.Selected candidate will have access to cutting-edge scientific infrastructure, highly innovative projects in an excellent scientific environment and opportunities to collaborate with national and international research groups.

Our profile

We are an interdisciplinary team consisting of bioengineers, biophysicists and platelet biologists. The PhD candidate will be based in the Department of Transfusion Medicine, University Medicine Greifswald (supervised by Dr. Raghavendra Palankar) and will closely collaborate with Dr. Oliver Otto (Group Leader-Biomechanics, ZI HIKE, Greifswald) and Dr. Markus Bender (Group Leader-Megakaryocyte and Platelet, Department of Experimental Biomedicine, University Würzburg).

Your profile

Candidates with a Diploma/Master degree in Natural Sciences (Biology/Bio-Technology/Chemistry/Physics) career interest in biophysics are encouraged to apply. Ideally, the candidate has high interest in cellular biomechanics. The project requires previous experience in at least one or more of the following skills: force spectroscopy, microfluidics, quantitative imaging, MATLAB /Mathematica/COMSOL Multiphysics, data analysis skills and handling of microscopes. Scientific communication skills in English are necessary.Disabled applicants will be preferentially considered in case of equivalent qualification. The University Medicine Greifswald seeks to increase the number of women and therefore explicitly encourages them to apply.

Application

Interested candidates should send their application until August 15th, 2018 including curriculum vitae (max. two pages), one page description of past research experience and contact details of two references to palankarr@uni-greifswald.de preferably as a signle PDF file in an email attachment.


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