Blog Archives

Senior Research Associate University of Portsmouth – Faculty of Science

Employment type: Fixed-term contract for 6 months

Interview date: 28 March 2019

We are seeking to appoint a Senior Research Associate (SRA) to contribute to the project “3D printing of complex scaffolds for the repair of osteochondral defects” developed in collaboration between the Biomaterials and Drug Delivery group (http://www.port.ac.uk/school-of-pharmacy-and-biomedical-sciences/research/biomaterials-and-drug-delivery/) and the Zeiss Global Centre (http://www.port.ac.uk/school-of-engineering/zeiss-global-centre/) at the University of Portsmouth.

Osteochondral lesions are painful, and predispose to osteoarthritis (OA), which is unquestionably one of the most important chronic health issues in humans, affecting an estimated 8.5 million people in the UK only. Due to the absence of vascularisation in cartilage, its regenerative capacity is limited, and treatment is required for repair. Severe limitations of current treatments, such as microfracture and autografts, have inspired research into more effective tissue engineering strategies, involving the implantation of stem cells able to repair the tissue. The implanted stem cells must be able to differentiate both into cartilage and bone cells. The differentiation of the cells can be controlled by changes in the modulus of the implant; however, there are no current scaffold materials that allow this concurrent double differentiation. We therefore propose to use our state of the art 3D bioprinter (Cellink) – able to co-print multiple materials and cells – to develop complex structures of biocompatible polymers of selected stiffness and porosity, to study how architectural and mechanical properties of the scaffold guide cells differentiation into the two types of cells desired.

The successful candidate will have a PhD degree or equivalent with experience in tissue culture in particular with stem cells, knowledge of some of the following areas is desirable: bioengineering, mechanobiology, x-ray/confocal microscopy, mechanical testing, 3D printing and biomaterial formulation. The SRA will work in a dynamic environment and benefit from the existing collaborative research between Dr Marta Roldo (expert in the synthesis, formulation and characterisation of biocompatible materials), Dr Petko Petkov (expert in mechanical and design engineering required to adapt the 3D printing process to the higher complexity of bio 3D printing) and Dr Gianluca Tozzi (X-ray computed tomography and correlative imaging).

The post is based at the School of Pharmacy and Biomedical Science, University of Portsmouth, with the appointment effective as soon as possible or no later than 1st April 2019. For informal enquiries please contact Dr Marta Roldo at marta.roldo@port.ac.uk or phone +44 (0)23 9284 3586.

Location:Portsmouth
Salary:£30,395 to £34,189 per annum
Hours:Full Time
Contract Type:Fixed-Term/Contract
Placed On:18th February 2019
Closes:9th March 2019
Job Ref:ZZ005155

webpage for applications:

https://www.jobs.ac.uk/job/BQH756/senior-research-associate

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.

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

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

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

New post @Marco Viceconti’s group in Bologna: dissemination, communication, and community engagement on in silico medicine

In the frame of the Strituvad project we are opening a new position for communication officer.  The position is initially for 12 months, but can be extended for additional two.

The aim of this research contract is the creation of a community of practice around the emerging applications of the so-called in silico medicine, with particular reference to in silico trials, where modelling and simulation technologies are used for the certification of new drugs or medical devices. Under the guidance of Prof Marco Viceconti one of the tope world-wide experts on in silico medicine, the researcher will create the content and manage web sites, social network accounts, e-newsletters, and online communities allowing all those interested in the topic who work in academia, industry, consulting or service firms or in regulatory agencies to exchange good practices on the use of modelling and simulation in medicine. The post is funded by the EU project STRITUVAD, which aims to develop in silico methods to reduce the cost of clinical trials for new therapies for tuberculosis in developing countries where this disease is endemic.

The ideal candidate should have:

  • A Master degree (Laurea Magistrale) or equivalent title in scientific disciplines or Communication Science
  • Excellent knowledge of English language (written and spoken)
  • Priority will be given to candidates with experience in Science Communication, dissemination of research results, networking and community building among scientists, production of press releases

If you are interested apply here: https://www.aricweb.unibo.it/BandiPubblicati/zz_Bandi_din.aspx?strid=961

or contact me by email for further information.