Professorship with a Tenure Track Perspective at Charité

Opening of a Professorship with a Tenure Track Perspective at Charité – Universitätsmedizin Berlin and the Berlin Institute of Health (BIH):

The candidate is expected to drive biomaterial-based tissue regeneration towards clinical applications and is expected to take an active role in the scientific focus area “Regenerative Therapies -BCRT” and to engage her-/himself in the DFG-funded research group „Regeneration in Aged: Bone healing as a model system to characterize regeneration under compromised conditions” (FOR2165).

The professorship is expected to strengthen the research focus in Biomechanics, Biomaterials und Cell-Therapies in a tight coupling with the Julius-Wolff-Institute and the Center for Musculoskeletal Surgery of the Charité.

Charité is intending to fill this position with an outstanding, internationally acknowledged scientist with substantial contributions in Cell-Biomaterial interactions and the biomaterial-driven tissue regeneration with a focus on musculoskeletal tissues.

Candidates should have received a PhD in Engineering or Sciences, a minimum 3-year postdoc and contributed with excellent peer reviewed papers to the scientific field. Experience with R&D in a research-oriented company, specifically in biomedical material development or production would be highly appreciated.

Please submit your application including your conceptional ideas until 5.03.2019 to https://career.charite.de

for details please see https://career.charite.de/am/calls/Bewerbungshinweise.pdf

Please include next to CV and publication list a brief 2-3 page description of your future plans at Charité and BIH.

In case you have any further questions, please do not hesitate to contact georg.duda@charite.de.

Simpleware ScanIP comes with FDA 510(k) clearance

Synopsys are pleased to announce the release of the Simpleware ScanIP Medical edition. This exciting new version of Simpleware ScanIP comes with FDA 510(k) clearance, and CE and ISO 13485:2016 certification as a medical device.

Learn more about Simpleware ScanIP Medical – with link http://bit.ly/2MSsmKC

Learn more about the clinical applications of Simpleware software – with link http://bit.ly/2GEsD2A

Postdoctoral Researcher in Computational Modelling for Tendon Tissue Engineering

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Botnar Research Centre, Windmill Road, Oxford

Grade 7: £32,236 – £39,609 p.a.

Applications are invited for the position of a Postdoctoral Researcher in Computational Modelling for Tendon Tissue Engineering to join an interdisciplinary team of researchers collaborating on a project led by Dr Mouthuy at the Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), Oxford.

This post will be included in the activities of the Carr group as well as Professor Jerusalem’s group at the Department of Engineering Science, Oxford and Professor Waters’ group at the Mathematical Institute, Oxford and as such the postholder will be required to work across these locations.

As a Postdoctoral Researcher in Computational Modelling for Tendon Tissue Engineering you will participate in the activities of the research team in the Humanoid Bioreactor project, sharing skills and knowledge and publishing your findings in peer-reviewed journals.

You will analyse, contextualise and interpret data, write and maintain programs and protocols for data analysis as well as train and supervise graduate and undergraduate students as appropriate.

You will hold a PhD/DPhil (or near completion) in a discipline of direct relevance to computational mechanics and/or tissue engineering.
You will be competent with programming languages such as C/C++ and Matlab as well as numerical simulations, model calibration and validation.
You will have an experience in implementing mathematical descriptions of physical biological processes and you will be highly self-motivated and committed to pursuing interdisciplinary research.
Experience with handling clinical imaging data such as CT, MRI or ultrasound scans, strong competences in the use of CAD software to design materials and an ability to conduct experiments with cells and biomaterials are desirable.

This is a full-time fixed-term appointment for 3 years.
You will be required to upload a CV and supporting statement as part of your online application.
The closing date for this position is 12.00 noon on Monday 18 March 2019.

More details and applications:

https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=139124

PhD student position in Statistical Shape Modelling and Analysis of knee structures

Position nr.: HR_2019_JS2

Department: Dept. of Physics (Vision Lab)

Date posted: Tuesday, 22 January, 2019

Position status: Full Time Salaried

Project title: 

PhD student position in Statistical Shape Modelling and Analysis of knee structures (f/m)

Description: 

Imec-Visionlab and the Orthopaedics research group at the University of Antwerp have an open position for a PhD student to work on developing innovative methods for Statistical Shape Modelling and Analysis of knee structures. This multidisciplinary project will be supervised jointly by prof Jan Sijbers (Imec-Visionlab) and prof Peter Verdonk (Orthopaedics research group at the University of Antwerp).
The aim of the project is to develop an innovative treatment algorithm for patients after a meniscectomy and to provide anatomical input for a novel meniscus implant design by means of statistical shape modelling.
Statistical shape modelling is a technique to capture the natural variation within a population of shapes. It has a wide range of applications in medicine, industry, and science. In this PhD project, new methods will be developed to recommend a specific type of meniscus implant based on the shape of various knee structures.

Tasks: 

The project consists of two main tasks. First, a statistical shape model of the knee joint is to be created in order to represent the knee shape in a compact and concise way. Second, this statistical shape model is to be integrated with machine learning techniques in order to recommend a specific choice of meniscus implant.
This PhD project will proceed in coordination with MEFISTO: a large EU-funded Horizon 2020 project involving 4 Universities and 9 Companies throughout Europe. Various opportunities will be presented within this PhD position to collaborate with top researchers and industry partners.

Qualifications: 

• Degree: You have a M.Sc. degree in the field of Computing Science, Mathematics, Physics, Engineering and a special interest in anatomy and orthopaedics. Candidates with a Medical degree and a strong interest in engineering and excellent engineering skills are also encouraged to apply.
• Computer programming experience
• Ability to work independently as well as in team
• Highly motivated and driven to explore research questions in depth
• Excellent oral and written proficiency in English
• Willing to travel abroad to collaborate with international partners and participate in international conferences

You love interdisciplinary science, and want to advance the field of shape modeling with your skills, creativity and novel solutions. You like to develop theory and afterwards code to put your new methods into practice. You also want to tell the world about your findings with sparkling presentations.

Labs involved: 

The Vision Lab (http://visielab.uantwerpen.be/) is a strong and exciting research group and has unique expertise in the development of algorithms for reconstruction, processing and analysis of imaging data. The working environment is strongly interdisciplinary, combining techniques and insights from Physics, Mathematics and Computer Science. The group has a broad range of national and international collaborations with both academic and industrial partners. Recent Vision Lab publications on statistical shape modelling can be found on http://visielab.uantwerpen.be/research/shape-modeling.

The orthopaedics research group at the University of Antwerp is part of a multidisciplinary research team that incorporates the fundamental, clinical and translational research activities around reconstructive knee surgery with a particular interest in meniscus pathology.Our offer: 

• An exciting research trajectory towards a PhD
• Applied research with direct impact on patient treatment methods
• Multidisciplinary research: cooperation with strong academic research and industrial partners
• A world-class research environment with state-of-the-art instrumentation

Starting date: 

01/03/2019

Applications: 

Interested candidates are invited to send a motivation letter, a detailed CV (including followed courses, honours, grades, previous work, programming skills, publications, …) and contact info of two references to Christine.waerebeek@uantwerpen.be with cc to jan.sijbers@uantwerpen.be and pverdonk@yahoo.com with subject ‘PHD_MEFISTO_2019’.

Website:

https://visielab.uantwerpen.be/open-positions/phd-student-position-statistical-shape-modelling-and-analysis-knee-structures-fm

Synopsys are looking for Early Stage Researchers

Synopsys are looking for Early Stage Researchers for an outstanding opportunity to be part of a H2020-funded EU project RAINBOW on biomechanics and simulation. Based in the Synopsys offices in Exeter, UK, with placements in Cardiff University and the University of Luxembourg, the positions are generously funded and provide great experience in an industrial environment.

RAINBOW vacancy:

Luxembourg – http://bit.ly/2ML2cto

Cardiff – http://bit.ly/2G5B9Z8

PhD in “Biomechanics and biomedical engineering in reconstructive surgery of feet”


Cranfield University and Aston University Birmingham

Applications are invited for a three year EPSRC Doctoral training Partnership Postgraduate studentship, supported by the Engineering and Physical Sciences Research Council (EPSRC) to be undertaken within the Biomedical Engineering Research Unit at Aston University and the Forensics Biomechanics Laboratory in Cranfield University.

Musculoskeletal issues in the feet of growing children result in pain and gait problems during skeletal maturity in adolescence. Many of these cases require surgery to relieve pain and prevent disability in adult life such as joint arthritis. This project aims to investigate the key parameters impacting surgical outcomes with the aim of improving surgical planning and prognosis. This project will include gait analysis, parametric analysis of patient data and mechanical testing; therefore the candidate will be consulting with collaborators in orthopaedic surgery, biomechanics and mechanical engineers. The candidate will gain a unique opportunity to carry out clinical-led research in an exciting interdisciplinary project. The candidate would also benefit from the use of modern facilities at Aston and Cranfield. This includes a gait analysis lab, biomedical testing lab and tissue biomechanics lab. The candidate will spend the majority of time at Aston University with part of the time at Cranfield University’s Defence & Security School, Shrivenham.

At a glance

  • Application phase will stay open until the post is filled.
  • Award type(s)PhD
  • Start date after 04 Feb 2019
  • Duration of award 3 years
  • Eligibility EU, UK
  • Reference number PHD CFI03

Supervisor

Professor Peter Zioupos (Cranfield University)

Dr Sarah Junaid (Aston University)

Clinical supervisor: Mr Basil Budair

Entry requirements

Applicants should have a Masters at merit level (or MEng) in an appropriate subject and a First class or upper second (2:1) class honours degree or equivalent qualification in Mechanical engineering, Biomedical Engineering or Biomechanics. The candidate will have an excellent academic track record and preferably have one or more of the following skills or knowledge/experience of: biomechanics, gait analysis, inverse dynamics, statistical data analysis, finite element modelling.

Person specification and full details at: www.cranfield.ac.uk/research/phd/cds-a-statistical-parametric-tool-for-flatfoot-surgery

Funding

This studentship includes a fee bursary to cover the home/EU fees rate plus a maintenance allowance of £ 14,777/year for 3 years.  

*Applicants from outside the EU may apply for this studentship but will need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition fees, which is currently a difference of £14,240 per annum.  As part of the application you will be required to confirm that you have applied for, or, secured this additional funding elsewhere, if you are from outside of the EU.

Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This Network brings together both research students and staff, providing a platform for our researchers to share ideas, identify opportunities for collaboration and create smaller communities of practice.  It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

If you are eligible to apply for this research studentship, please complete the online application form.

Please quote the following title and reference number: PhD in “Biomechanics and biomedical engineering in reconstructive surgery of feet” with the reference number PHDCFI03.

In addition to the application form, please attach a covering or motivational letter as well as a CV.

For further information contact us today:

CDS Admissions office
T: 44 (0) 1793 785400
E: cdsadmissionsoffice@cranfield.ac.uk

https://www.findaphd.com/phds/project/phd-in-biomechanics-and-biomedical-engineering-in-reconstructive-foot-and-ankle-surgery/?p101135

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

Call for Bids hosting ESB 2022

The ESB is inviting proposals for the organization of its annual congress in July 2022. If you are interested in hosting and organizing ESB2022, please read the ESB 2022 Bid rules for details.

Bids should be sent to prof. David Mitton (david.mitton@ifsttar.fr), Chair of the Meetings Committee. He can also be contacted for further information.

The deadline for submitting your bid for ESB2022 is 31st March 2019.