Category Archives: Job Opportunities

PhD position in Computational Mechanics with an emphasis on Biomechanics and Piezoelectric Material

A PhD position shared in collaboration between the Computational Mechanobiology Group at the Julius Wolff Institute (Charite Medical School in Berlin) and the Computational and Structural Mechanics group at the Institute of Mechanics in Technische Universität Berlin is vacant. 

Topic 

Bone has the ability to self-regenerate after injury, however, large bone defects often lead to delayed healing or non-unions. The treatment of these conditions remains a clinical challenge. To overcome the limitations of current bone treatment options, novel alternatives hold promise as the next generation of tissue engineering scaffolds. Experimental trial and error in the design of these scaffolds could be reduced by the development of a computer platform that could support the design of these scaffolds. The project therefore aims to develop suitable numerical models to investigate the behaviour and optimal design of tissue engineering scaffolds and their influence on the bone regeneration process. 

Your tasks 

You will employ engineering, mathematical and computational techniques (FEM) to determine the mechanical and electrical signals generated due to the physiological stimulation of a scaffold and to investigate how these signals influence the bone regeneration process. You will also investigate how different parameters influence the bone healing process. Using this understanding, the potential design optimization of scaffolds (concerning scaffold geometrical and material properties) will be also investigated. You have to be able to employ experimental data available to validate and qualify the numerical prediction. 

Your profile 

 Highly motivated candidate with a Master’s or comparable degree in mechanical engineering/biomedical engineering/material science and engineering/mathematical biology or a related discipline 

 Strong skills in Finite Element Modelling (e.g. Abaqus) 

 Ideally knowledge or experience in material science in particular piezoelectric materials 

 Knowledge in Programming is advantageous (e.g. C/C++, Matlab, Python) 

 Willingness to work in a multidisciplinary project 

 Very good English language skills (oral and written) 

What we provide 

This position is fully funded by the German Research Foundation (DFG) for a period of three years (100%, E13 salary group). You will work in friendly teams of highly qualified researchers and in unique research environments. Expected start date is at the earliest convenience, ideally May 1st, 2020. 

Application / Contact 

Please submit your application before March 31st, 2020 via e-mail to Dr. Melika Mohammadkhah (Melika.mohammadkhah@tu-berlin.de). Your email should contain a single PDF document (subject: “Application: PhD position”) including the letter of motivation, your CV (with contact information of at least two references), transcripts of the bachelor’s and master’s diploma, proof of English language skills. 

Senior Scientific Officer in X-ray Microscopy

Faculty of Technology

School of Mechanical and Design Engineering

Senior Scientific Officer in X-ray Microscopy

ZZ003837

Information for Candidates

THE POST

Please see the attached job description and person specification.

THE TERMS OF APPOINTMENT

Full-time

Permanent

The School of Mechanical and Design Engineering at the University of Portsmouth wishes to recruit a Senior Scientific Officer in X-ray microscopy. The role will be based within the Future Technology Centre and support X-ray microscopy at the Zeiss Global Centre (ZGC), including two Versa 510 and 520 microscopes as well as associated techniques such as extensive in situ facilities and digital resources. Further details of the facility can be found at https://www.port.ac.uk/research/research-centres-and-groups/zeiss-global-centre

The ZGC is at the forefront of advanced X-ray microscopy, particularly coupled with techniques such as in situ mechanics and digital volume correlation (DVC), for which is considered one of the reference centres in UK and abroad. The ZGC has an international reputation in producing high-impact academic outputs, securing significant external income and providing opportunities for collaborations across multiple disciplines within the university as well as nationally and internationally. Specific areas of excellence include imaging-based understanding of complex structures, bioengineering, bioinspiration and imaging-additive manufacturing relationships.

The successful candidate should have a strong background in one or more of the following areas: X-ray microscopy, mechanical behaviour of structures, image analysis and digital volume correlation (DVC). The ZGC has a number of external partners and strategic links, and the position is expected to contribute to maintaining and growing these links. Additionally, the post holder is strongly encouraged to develop his/her own research area.

We welcome applications from all qualified applicants, but applications are particularly encouraged from traditionally under-represented groups in science and engineering. The University of Portsmouth holds an Athena Swan bronze award and is committed to introduce organisational and cultural practices that promote gender equality and create a better working environment for men and women.

For informal enquiries about the post please contact Dr Gianluca Tozzi at gianluca.tozzi@port.ac.uk or phone +44 (0)23 9284 2514.

For Applications:

https://www.jobs.ac.uk/job/BYX407/senior-scientific-officer-in-x-ray-microscopy

14 PhD scholarships within exciting ITN project!

Mediate – The Medical Digital Twin for Aneurysm Prevention and Treatment

https://cordis.europa.eu/project/id/859836/it

MeDiTATe aims to develop state-of-the-art image based medical Digital Twins of cardiovascular districts for a patient specific prevention and treatment of aneurysms. The Individual Research Projects of the 14 ESRs are defined across five research tracks:
(1) High fidelity CAE multi-physics simulation with RBF mesh morphing (FEM, CFD, FSI, inverse FEM)
(2) Real time interaction with the digital twin by Augmented Reality, Haptic Devices and Reduced Order Models
(3) HPC tools, including GPUs, and cloud-based paradigms for fast and automated CAE processing of clinical database
(4) Big Data management for population of patients imaging data and high fidelity CAE twins
(5) Additive Manufacturing of physical mock-up for surgical planning and training to gain a comprehensive Industry 4.0 approach in a clinical scenario (Medicine 4.0)


The work of ESRs, each one hired for two 18 months periods (industry + research) and enrolled in PhD programmes, will be driven by the multi disciplinary and multi-sectoral needs of the research consortium (clinical, academic and industrial) which will offer the expertise of Participants to provide scientific support, secondments and training. Recruited researchers will become active players of a strategic sector of the European medical and simulation industry and will face the industrial and research challenges daily faced by clinical experts, engineering analysts and simulation software technology developers. During their postgraduate studies they will be trained by the whole consortium receiving a flexible and competitive skill-set designed to address a career at the cutting edge of technological innovation in healthcare. The main objective of MeDiTATe is the production of high-level scientists with a strong experience of integration across academic, industrial and clinical areas, able to apply their skills to real life scenarios and capable to introduce advanced and innovative digital twin concepts in the clinic and healthcare sectors.

For application to 12 already available ESR positions please visit:
https://euraxess.ec.europa.eu/site/search?keywords=meditate

Three new fully funded PhD positions in soft biomechanics and medical technologies at the University of Portsmouth

Three fully funded PhD positions are currently available in the field of soft tissue biomechanics and medical technologies at the School of Mechanical and Design Engineering of the University of Portsmouth (UK).

All of the three projects arise from a close and strong collaboration between the research group of Biomechanics and local and national hospitals. They all have a strong drive in clinical practice, from which the underlying research question originates.

The first project is aimed to predict the artero-venus fistula outcome/evolution in patients undergoing hemodialysis; the second project is aimed to provide an in vivo measurement of heart valves deformation; the third project is focused on improving clinical practice for lesion detection and diagnosis in gastroscopy.

Further details about the three projects are available online at:

https://www.findaphd.com/phds/project/in-silico-assessment-tool-for-reducing-the-risk-of-failure-of-arterio-venous-fistula-avf-in-patients-subjected-to-haemodialysis/?p115898

https://www.findaphd.com/phds/project/investigating-the-physiological-deformation-of-heart-valves-using-in-vivo-and-in-vitro-techniques/?p115894

and
https://www.findaphd.com/phds/project/enhanced-endoscopic-screening-of-polyps-in-the-upper-gastrointestinal-tract/?p116271

Brilliant and ambitious students attracted by multidisciplinary subjects, interested in medical applications and strongly oriented to authentic teamworking are invited to apply.

The three positions are opened for UK/EEA applicants.

The deadline for the online application is Friday 23rd 2020. 

Post-doctoral researcher in Biomechanics at Uppsala University, specifically numerical analysis of injectable materials for spinal applications

Published: 2020-01-20

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 44.000 students, 7.100 employees and a turnover of SEK 7 billion.

The Division for Applied Materials Science, Department of Materials Science and Engineering, the Ångström Laboratory.

The position is for two years starting as soon as possible. 

Tasks: The overarching goal is to evaluate different implant materials for spinal applications, and in particular their suitability for treatment of vertebrae and intervertebral discs.Mainly numerical methods will be used, such as finite element analysis, although some experimental work also will take place. A natural part of the work lies in reporting results, both in scientific journals and at conferences. The project is funded by the EU, and in particular EIT Health.

Qualifications required: To qualify for an employment as a post-doctor, the applicant must hold a PhD degree or a foreign qualification deemed equivalent to a PhD, and the PhD degree must have been obtained no more than three years prior to the application date; however, for example, periods of sick leave or parental leave are deducted from the three-year period.

For this position a PhD degree in engineering physics, mechanical engineering, biomedical engineering, or similar in nearby subjects, is required.

An interest in numerical modelling is a requirement, and experience in biomedical engineering is an advantage. The ability to lead and advance projects, as well as collaborative skills, is important.

Very good written and verbal skills in English is a must.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

For further information about the position please contact Professor Cecilia Persson, Cecilia.persson@angstrom.uu.se.

Salary: Individually negotiated salary.

Starting date: As soon as possible.

Type of position: Temporary position for two years.

You are welcome to submit your application no later than February 14 2020, UFV-PA 2019/4623. 

In case of disagreement between the English and the Swedish version of this announcement, the Swedish version takes precedence.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University´s recruitment system. More details:

https://www.uu.se/en/about-uu/join-us/details/?positionId=311258

PhD in Bath: Multiscale Analysis of the interactions between a Novel Total Artificial Heart and the Native Cardiovascular System

Project Description

Project team: Dr Katharine Fraser (k.h.fraser@bath.ac.uk) & Dr Andrew Cookson (a.n.cookson@bath.ac.uk)

Project
Over 500,000 people in the UK suffer from heart failure, with 14,000 admitted to hospital each year and 10,000 deaths. Worldwide, 26 million have heart failure, with a predicted increase of at least 46 % by 2030. The health expenditure on heart failure in the US alone is $31 billion. For patients with severe end-stage heart failure the only hope of long term survival is a heart transplant. However, donor hearts are scarce, resulting in fewer than 200 heart transplants/year in the UK. Alternative treatments are urgently needed to keep patients alive until a donor heart can be found. One alternative is a Total Artificial Heart (TAH): a machine to completely replace the native heart. Unfortunately, the only TAH on the market suffers from several issues.

Scandinavian Real Heart AB are developing a TAH with a completely novel pumping concept based on displacement of a piston and valve. It is hypothesized that the use of positive displacement, rather than rotation, has major advantages for physiological compatibility. This project will then investigate the interactions between the mechanical device and the native cardiovascular system, with the overall aim of assessing the biocompatibility of the device to aid design optimisation and regulatory approval. Specifically, the aims are to quantify the level of blood damage caused by the TAH, and find the effect of pulse wave it generates on the human arterial system.

The research will involve:
• the use of computational fluid dynamics to simulate blood flow within the Real Heart
• the development of numerical models for damage to the different blood cells
• the use of mathematical modelling to investigate pulse waves in the arteries
There is also the opportunity to perform experimental validation of the numerical results.

Through this PhD the student will become an expert in computational and mathematical modelling of fluid flows, including commercial and opensource software, and in-house code development. By working with Real Heart the student will develop teamwork and communication skills; to strengthen these the student will be based with the company in Sweden for 3 months. The University’s DoctoralSkills training includes a wide range of transferable skills courses. The student will write high impact journal papers and present at leading international conferences. Healthcare technology and biomedical devices are rapidly growing industries; a PhD in this area would equip the student with sought after skills and qualify them for a range of opportunities.

This project is an outstanding opportunity to help bring the next generation of mechanical heart pumps to the clinic. In addition, the research will contribute to fundamental science in incompressible fluid mechanics, blood trauma, and arterial dynamics, and develop new simulation techniques to advance the field of mechanical circulatory support development.

Candidate:
The successful applicant will ideally have graduated (or be due to graduate) with an undergraduate Masters first class degree or very good 2:1 or MSc distinction (or equivalent). English language requirements must be met at the time of application to be considered for funding.

More Details:

https://www.findaphd.com/phds/project/multiscale-analysis-of-the-interactions-between-a-novel-total-artificial-heart-and-the-native-cardiovascular-system/?p110261

Application:
Formal applications should be made via the University of Bath’s online application form for a PhD in Mechanical Engineering. Please ensure that you state the full project title and lead supervisor name on the application form.

https://samis.bath.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RDUME-FP01&code2=0014

A full application must be submitted by the application deadline, including all supporting documents, to enable review.

More information about applying for a PhD at Bath may be found here:

http://www.bath.ac.uk/guides/how-to-apply-for-doctoral-study/

Anticipated start date: Monday 30 March 2020

Funding Notes

Funding is for up to three and a half years. It includes UK/EU tuition fees, training support fee of £1,000 per annum and a Maintenance stipend of £15,009 per annum (2019/0 rate). EU students are eligible to apply if they have been resident in the UK for 3 years prior to the funding commencing.

Research Assistant in Murnau

 As of April 1, 2020 we are looking for a  Research Assistant (PreDoc, m/f/d)  to strengthen our team at the Institute for Biomechanics  initially limited to 3 years. 

Your duties: 

 Collaboration in the research project “Population variability in orthopaedic bio-mechanics”. The aim is to develop and mechanically characterize materials that serve as synthetic bones for the development and validation of new implants. The methodological focus is on biomechanical testing, medical imaging and finite element analysis. 

 Preparation of and participation in scientific reports and publications 

 Presentation of research results at scientific events at home and abroad 

 Submission of research proposals, participation in externally funded projects 

 Cooperation in teaching and supervision of interns 

Your profile: 

 A completed diploma or master’s degree in biomedical engineering, medical technology, mechanical engineering, civil engineering, technical physics, materials science or equivalent studies in Germany or abroad 

 Craftsmanship and pleasure in manual laboratory work 

 Basic experience in scientific work 

 Programming experience and affinity to statistical analysis methods 

 Strong communication skills and very good knowledge of German and English, both written and spoken 

 Reliability, an independent way of working and pleasure in participating in in-ter-disciplinary teams 

Our offer: 

 A modern working environment with varied activities in a constantly growing clinic with excellent infrastructure and equipment 

 A comprehensive and structured induction training with regulated procedures 

 Further education and development opportunities (e.g. a doctorate at the PMU Salzburg) 

 Support of a work-life balance through flexible working hours and at least 30 days of vacation 

 Attractive remuneration according to TV-BG Kliniken as well as additional social benefits and employee benefits in the region 

The inclusion of people with disabilities corresponds to our self-image and we therefore welcome your application. 

Please send your application with a letter of motivation, curriculum vitae and certificates to the Institute of Biomechanics at the BG Unfallklinik Murnau, Prof.-Küntscher-Str. 8, 82418 Murnau or by e-mail to biomechanik@bgu-murnau.de or via our career portal (www.bgu-murnau.de). We are looking forward to meeting you! 

PhD Position “Machine Learning in Biomechanics”

The ARTORG Center for Biomedical Engineering Research is the University of Bern´s transdisciplinary Center of Excellence for medical technology research. Its mission is to tackle unmet clinical needs and envision future challenge in diagnosis, monitoring and treatment to create viable healthcare technology solutions with imagination, agility and purpose. Its projects run from discovery and basic research to clinical translation. 

The Computational Bioengineering Group has opened a Ph.D. Student position in machine learning to evaluate the risks of failure of total shoulder arthroplasty. You will develop machine learning algorithms to better understand the biomechanics of shoulder replacements and improve patients’ care. You will be part of an inter-disciplinary project funded by the Swiss National Science Foundation (www.snf.ch) performed in collaboration with the Swiss Federal Institute for Technology (www.epfl.ch), and the Lausanne University Hospital (www.chuv.ch). 

You will integrate a research group that develops experimental and computational methods in biomechanics to test original scientific hypotheses, develops new diagnostic methods, and medical devices. 

Your tasks 

– Develop algorithms to analyze medical image and generate patient-specific finite element models 

– Quantify anatomical degeneration of the hard and soft tissues of patients undergoing total shoulder replacement 

– Infer the pre-morbid anatomy of degenerated shoulder joints 

– Determine the optimal treatment strategy from pre-operative data and population-based finite element simulations 

Qualifications required 

– Master’s degree in computer science, engineering, or applied mathematics. 

– Experience and/or course work in computer vision and machine learning 

– Solid programming skills in Python or C/C++/C# 

– Background in mechanics and computational methods 

– Hands-on experience with finite element analysis would be a distinctive asset 

– Strong communication skills in English required (working language at the ARTORG Center) 

We offer 

– Creative and international environment to conduct competitive research in an interdisciplinary team 

– Strong links to the Bern University Hospital (Inselspital) and Lausanne University Hospital (CHUV) to provide a coherent view of how computer modeling in healthcare can benefit patients 

– Competitive salary (according to the guidelines of the Swiss National Science Foundation) 

– Expected starting date; summer 2020 

– Free German courses available for those wishing to learn 

Application Interested candidates should send their detailed resumes with references, motivation letter, abstract of your MSc thesis, and school transcripts to Prof. Philippe Büchler, philippe.buechler@artorg.unibe.ch. 

About the University of Bern The University of Bern is located at the heart of Switzerland. Internationally connected and regionally anchored, it cultivates exchange with society and strengthens partnerships between science, medicine, business, and politics. The University of Bern is committed to a deliberate and ethical responsibility towards people, animate and inanimate nature. As an important educator, promoting enterprise and industry in the region and beyond, it distinguishes itself through problem-oriented research into questions of pressing social relevance. The University of Bern is an equal opportunity employer, promotes healthy work-life-balance and safe working environments, and strives to increase the number of women at all levels in its faculties. 

Professor in Computational Biomechanics – University of Sheffield, UK

Closing date: 07/01/2020
Employer: The University of Sheffield (Department of Mechanical Engineering)
Location: Sheffield

Description

Salary: A competitive salary will be offered in line with the University of Sheffield’s Professorial Pay Scheme: www.sheffield.ac.uk/hr/thedeal/professorial/structure

The University of Sheffield is looking to expand its vibrant Mechanical Engineering community through recruitment to a number of academic positions. They are looking for individuals who will contribute to maintaining a welcoming, inclusive, diverse and inspiring environment for students and whose expertise will complement and enhance our existing research capabilities.
A key part of this role will be developing and supporting staff and students at earlier stages of their careers, meaning we are looking for individuals with a passion for leadership and people development.
You will have a clear idea of your research vision, how this builds upon our current departmental portfolio, and the ways in which it may influence our future direction.
You will be equally passionate about teaching, with a willingness and enthusiasm for accepting and implementing new approaches in this area.
Mechanical Engineering has been a major discipline in the University of Sheffield since its foundation in 1905 and is a thriving department within the University’s Faculty of Engineering. We are one of the UK’s leading departments of Mechanical Engineering, and are home to over 1000 students (Undergraduate, Postgraduate Taught and Postgraduate Research), over 60 academic staff. The year 2020 is an exciting time for you to join our department, as we shall be moving into our new £50m home – the Engineering Heartspace!

The Insigneo Institute for in silico Medicine is known for its cutting-edge research in the development of biomechanics methods for neuro-musculo-skeletal, cardiovascular, respiratory, or urinary pathologies. Insigneo is the largest European research institute dedicated to Computational Medicine, with the aims to realise the scientific ambition behind the Virtual Physiological Human, producing a transformational impact on healthcare. Insigneo performs innovative research in areas of fundamental and applied biomedical modelling, imaging, and informatics.

You will be an internationally renowned academic or senior industrial technologist with experience of delivering high-quality research in Computational Biomechanics. You will have a good first degree and a PhD in a relevant discipline. You will be able to provide effective leadership and you will have excellent interpersonal and communication skills, and experience of developing and delivering high-quality teaching at a variety of levels. Based here in the department you will continue to develop your own academic career, contributing strongly in teaching, research and scholarship that is recognised internationally for its originality, significance and rigour.
Find out more about working in the Department of Mechanical Engineering: https://www.sheffield.ac.uk/mecheng/…k-with-us-2019

How to apply?

To apply visit our job pages (https://www.sheffield.ac.uk/jobs) and search for vacancy number: UOS024690.

Contact details

If you would like to talk to someone informally about this job and the recruiting Department, please contact our Head of Department, Professor Neil Sims n.sims@sheffield.ac.uk 

If you have any administration queries and details regarding the application process, contact Julie Fryer j.e.fryer@sheffield.ac.uk 

If you would like an informal tour of our facilities prior to the formal interview process, please contact our Department Technical Manager: Phillip Pickstock p.pickstock@sheffield.ac.uk 

For more information or queries regarding the areas we are looking to recruit to please contact Professor Claudia Mazzà c.mazza@sheffield.ac.uk.

PhD position at the University of Zaragoza

Position and project

The Biomedical Signal Interpretation and Computational Simulation group at the University of Zaragoza (Spain) seeks a PhD Student to work on the interface between Cardiac Electromechanical Modeling and Artificial Intelligence in the context of ischemic heart disease.

The position is part of the BRAV∃ project funded by Horizon 2020 programme of the European Commission. BRAV∃ aims at providing a lasting functional support to injured hearts through the fabrication of personalized tissue engineering-based biological ventricular assist devices (BioVADs). This ambitious project will combine multimodal deep cardiac phenotyping, advanced computational modeling and biomechanical analysis in a large animal model of disease to create a personalized 3D printable design.

The candidate will work on developing deep-learning neural networks trained on simulated data from large-scale physics-based electromechanical swine models, which is expected to allow obtaining simulated electromechanical data in an efficient way while maintaining accuracy as high as possible. The proposed multidisciplinary approach ultimately aims at contributing to shed light into the interaction between BioVADs and recipient hearts.

Qualifications

Candidates must hold an MSc in Engineering, Mathematics or Physics or similar discipline.

Expertise in computational modeling and/or signal processing is recommended. Strong oral and written communication skills in English are a must. Experience in Python and/or C++ programming is preferred. Previous experience with numerical methods for solving PDEs (e.g. Finite Element Method, Meshless Methods), Artificial Intelligence (e.g., neural networks) and CUDA programming is considered a plus.

The I3A Institute at University of Zaragoza

The Aragon Institute of Engineering Research (I3A), within the University of Zaragoza, comprises more than 500 researchers and a vibrant environment for multidisciplinary research.

Every year I3A participates in more than 300 research projects funded with over 10 M€ and more than 200 contracts with industry with 5 M€ turnover. Around 50 PhD theses supervised by I3A members are defended and nearly 300 papers are published in JCR journals every year. The Biomedical Signal Interpretation and Computational Simulation group at I3A, University of Zaragoza, is a leading expert in the development of signal processing tools to aid in the diagnosis, prognosis and treatment of cardiovascular diseases and conditions. This expertise is combined with modeling and simulation of cardiac electrophysiology to investigate causes and consequences of the phenomena observed from the processed signals.

Application

For additional information about the position, please contact Dr. Esther Pueyo

(epueyo@unizar.es) or Dr. Konstantinos Mountris (kmountris@unizar.es).