Category Archives: PhD/Master student positions

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

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.