Category Archives: PhD/Master student positions

PhD in Biomechanics @TUWIEN

Description: Bone biomechanics is a major research interest at the Institute for Lightweight Design and Structural Biomechanics (ILSB). Bone fracture risk increases with age and disease, yet reliable clinical tools to diagnose patients at risk are still lacking to this date.
Building on previous research projects and expertise at the ILSB this project aims to conduct experiments of trabecular bone tissue at the level of individual trabeculae in particular in uniaxial compression and tension. The experiments are then to be analysed via finite element models with the aim to establish constitutive damage models for bone tissue. These are then to be validated against experiments at the apparent level of trabecular bone. Further investigations are to be carried out in order to elucidate difference in damage behaviour of trabecular between samples obtained from younger / healthier and older / diseased donors.
The post also included participation in teaching activities carried out at the ILSB, including courses in biomechanics as well as the methods of finite elements.
Qualifications: We seek an individual with a completed MSc in Biomedical Engineering, Mechanical Engineering, Physics, Materials Science Electrical Engineering or a related discipline. We are specifically looking for candidates with knowledge in biomechanics and finite element modelling, experience in experimental (bio-)mechanics, script-programming (e.g. Python). German language skills, i.e. native speaker or level B2 according to CEFR are required.
Further information: For informal discussions please contact Professor Philipp Thurner, pthurner@ilsb.tuwien.ac.at
How to apply: please send applications to rene.fuchs@tuwien.ac.at no later than April 28th 2019.

PhD position at the Universitat Pompeu Fabra, Barcelona, Spain, starting October 2019.

A PhD position is available at the BCN-MedTech Research Unit (https://www.upf.edu/web/bcn-medtech/), Department of Information & Communication Technologies (DTIC) of the Universitat Pompeu Fabra (UPF), Barcelona, Spain, in close collaboration with IDIBAPS and BCNatal – The Fetal Medicine Research Centre (https://medicinafetalbarcelona.org) of Hospital Clínic de Barcelona, starting October 2019.

PhD project: The Heart-Brain axis, or There and Back again: the journey towards brain development traverses vascular territories

The heart and the brain are arguably the two most fascinating and important organs of the human body. Scientists have been studying these organs for centuries but mainly at an individual organ level. There is a need for a more systemic approach to study the physiology of some neurological and cardiovascular processes that remain not well understood, even with the current deluge of medical data and tools available nowadays. A good example involves brain development, especially in abnormal conditions such as after insults during pregnancy (Intra-Uterine Growth Restriction, IUGR). There are plain and numerous evidences on the effect of IUGR on the cardiovascular system and in the brain of these infants, but they have never been studied together. The aim of this project is to create a computational modelling platform, linking heart and brain systems, to test the influence of mechanical forces originating from vascular anatomy, haemodynamics and metabolic characteristics on brain development in normal and abnormal conditions. This research will open up opportunities for understanding systems-based mechanisms of other conditions affecting heart and brain such as congenital heart disease, schizophrenia, autism, neurodegenerative diseases or neurocardiology applications.

The first task will involve the development of a model of neurological development coupling brain mechanics with a multi-scale model of blood circulation and metabolism. Local forces will arise from anisotropic tissue surrounded by fluid and skull as well as pulsatile forces through vessels and their acute and chronic remodelling. Blood circulation models from the heart to the brain will provide regional flow and pressures at different scales, whereas metabolic exchange models will be included to describe oxygen and nutrients diffusion from vasculature to brain tissue. In a second phase of the project, parametric studies will be performed to identify the most relevant characteristics for normal and abnormal brain development. Mesh-less numerical techniques will be explored. Robust verification and validation experiments of the developed computational models will be implemented, both for each sub-system individually and globally. A thorough sensitivity analysis of the parameters will be achieved to determine the ones having the largest influence on brain development and how cardiovascular deficiencies can induce abnormal neurodevelopment. A unique clinical database of IUGR cases available at Hospital Clínic de Barcelona, including brain and heart data from the same cases, will be used to personalize, validate and guide the modelling work. The combination of physiological modelling and machine learning techniques to analyse this data is planned.

This project is strongly interdisciplinary, joining clinical, biomedical and technical expertise. The PhD candidate will be surrounded by a team including experts, postdocs and junior researchers from different disciplines (engineering/physics, biomedical/experimental), available in the hosting research group (PhySense, part of the BCN-MedTech research unit at UPF) and from our collaborators (P. Saez, Universitat Politècnica de Catalunya; D. Rueckert, Imperial College London; M. Sermesant, M. Lorenzi, Inria, France; O. Coulon, Aix-Marseille Université; Pr. B. Bijnens, Dr. F. Crispi, Dr. E. Eixarch, Hospital Clínic de Barcelona; M. Vázquez, Barcelona Supercomputing Centre; V. Borrell, Instituto Neurociencias Alicante; S. Safaei, G. Talou, P. Hunter, Auckland Bioengineering Institute).    

Workplace

The main supervisor of this PhD is Oscar Camara, Associate Professor at the Department of Information and Communication Technologies of the Universitat Pompeu Fabra (DTIC-UPF, https://www.upf.edu/web/etic), and leader of the PhySense research group. The DTIC at the UPF is the first Spanish ICT department that has been awarded with the María de Maeztu grant (excellence in science and innovation accreditation, 2016-2019) on data-driven knowledge extraction (https://www.upf.edu/web/mdm-dtic), and the Spanish university department with the largest number of ERC grants (15, including 6 Advanced ERC Grants). PhySense was recognized as an Emerging Research Group by the Government of Catalonia in 2014 and it is currently composed of 21 members, including 6 postdocs, 10 PhDs and 3 software developers. In September 2016, the group was one of the founding members of the BCN-MedTech unit (https://bcn-medtech.upf.edu/), a Research Unit at UPF that holds more than 200 I+D projects, 95 external collaborations, 1000 high-impact publications, 19 patents and 61 PhD Thesis. It recently (2018) obtained the TECNIO certification from the Catalan Government, given to research centres with proven record of technology transfer.

The PhD will be performed in close collaboration with clinical researchers from Hospital Clínic de Barcelona, experts in both cardiovascular and brain-related development and remodelling: IDIBAPS, supervised by ICREA Research Pr. B. Bijnens; and The Fetal Medicine Research Centre at the Maternity Hospital; supervised by Dr. F. Crispi, Dr. E. Eixarch and Pr. E. Gratacós). Researchers from prestigious international institutions will also be involved in the project (see above), enabling the possibility of short stays during the doctorate.

Profile of the candidate

We are looking for highly motivated young researchers with a Master degree (or equivalent) in Biomedical Engineering, Physics, Mechanical Engineering, Applied Mathematics, Computational Science, or related disciplines, willing to study and do research at the leading edge of biomedical engineering. Experience in computer sciences and having proven programming skills would be of importance. High motivation is the only essential pre-requisite; our top-quality research standards demand hard work, which only strong motivation and commitment can ensure. Nevertheless, candidates already familiar with (continuum) mechanics, ideally in medical applications, would have a faster start of the project. Review Tallinen et al. paper (Nature Physics, 2016; https://www.seas.harvard.edu/softmat/downloads/Brain-morph.pdf) as a good example on what it should motivate and not scare you (code available: http://users.jyu.fi/~tutatall/codes.html). 

Candidates must have excellent teamwork and communication skills and be enthusiastic about collaborating with a diverse range of international partners. We expect them to be fluent in English as it will be the language used to interrelate with the different partners. Interest in clinical translation is essential since meetings with clinicians will regularly take place. Female applicants are explicitly encouraged to apply and will be treated preferentially whenever they are equally qualified as other male candidates. 

More information on the requirements for a PhD position at the Universitat Pompeu Fabra can be found on https://www.upf.edu/web/etic/doctorat and http://www.upf.edu/doctorats/en

Conditions 

An initial training plan will be set up by selecting the best opportunities in the PhD programme of UPF and available initiatives within our collaborators. Clinical training will be organized depending on the needs and background of the researcher. BCN-MedTech offers an ideal working environment, mainly due to the large critical mass of experienced senior investigators in diverse areas of biomedical engineering, junior postdoctoral researchers and an international team of talented young PhD students; there is always someone that can help! In addition, the extensive network of collaborations, including clinical and large infrastructure partners, gives us a privileged access to unique data, software and technological facilities. The maximum score usually obtained in individual national and international fellowships evaluating the institution repeatedly demonstrates the excellent training environment of BCN-MedTech. Initially, this PhD will be funded by a DTIC-UPF fellowship, which is associated to a teaching load of 60 hours per academic year (https://www.upf.edu/web/etic/predoctoral-research-contracts), which is a good opportunity for PhD students to get familiar, from the beginning of their career, with teaching activities. The teaching topics are chosen depending on the PhD background, preferentially in the biomedical engineering BSc and MSc degrees we manage (https://www.upf.edu/en/web/etic/bachelor-degree-biomedical-engineering-2016). Supervising practicum internships as well as BSc and MSc thesis is also possible. The first year starts with around 1000 euros gross monthly salary, which is progressively increased during the PhD. You won’t get rich, we know; unfortunately, this is valid for most pre-doctoral students worldwide. Nevertheless, we encourage and support our students to apply for individual fellowships, which are usually better paid (https://www.upf.edu/web/phdfunding). Complements can be discussed. 

Deadline and contact information

Applicants should send a curriculum vitae and a motivation letter describing their research interests to Oscar Camara <oscar.camara@upf.edu>. Deadline: 9th of April 2019.  

“PhD in “Development of functional anatomical models using 3D Printing” @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 Mai 2019, the department of anatomy and biomechanics (division of biomechanics, Univ. Prof. Dr. Dieter Pahr) 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 “Development of functional anatomical models using 3D Printing“ (carried out together with ACMIT Gmbh, Wr. Neustadt)
  • In particular: 3D printing of different materials, mechanical characterization of 3D printed parts as well as biological tissues, micro‐computed tomography (μCT), implementation of analysis software, writing of scientific reports
  • Supervision of students and participation in teaching

Your profile:

  • Master degree in biomedical engineering, mechanical or civil engineering, technical physics, material sciences or similar fields
  • Handicraft skills and enjoyment of manual laboratory work
  • Interest in 3D printing and scientific work
  • Reliable and independent way of working
  • 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). Overpayment based on the internal salary structure and individual qualifications and experience is possible.

Applications should include a motivation letter, curriculum vitae, and credentials and should be mailed by 29 March 2019 to Ms. Christina Schwaiger of the Karl Landsteiner University of Health Sciences, Dr.-Karl- Dorrek-Straße 30, 3500 Krems, Austria (bewerbung@kl.ac.at).

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).