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Fully funded PhD studentship @Nottingham

The link to the position advertisement is .

Applications are invited for an exciting fully-funded PhD studentship in the Bioengineering Research Group, Faculty of Engineering at the University of Nottingham.

Research area. The research topic focuses on developing solutions that enable in-natura markerless motion capture for biomechanical modelling in Biomedical and Sports Engineering. Specifically, it addresses the fundamental research problem of reconstruction of person-specific human pose, kinematics, and surface geometry to enhance our understanding of the non-linear behaviour of human motion, musculoskeletal injury and disease and enable modelling of soft-tissue dynamics. Open problems in human-object interaction and tracking will also be explored.

The project. The candidate is expected to develop a fast and robust method for inferring and tracking 3D shapes of deformable objects, humans in particular. The method will be mainly based on visual sensing. Inertial and force sensors will be used as complementary sensing. The method can use either or both of model-based and learning-based approaches, such as CNN based segmentation, geometric CNNs, or convolutional kernel filter based tracking. The candidate will have access to a newly established state-of-the-art integrated motion capture laboratory.

The candidate. The ideal candidate will have;

  1. a first or upper second class honours or Masters degree in Electrical and Electronic Engineering, Physics, Computer Science or other relevant and equivalent degree from a quality recognised institution.
  2. a solid background in mathematics and excellent analytical and numerical skills, as well as problem solving skills
  3. strong background in 3D computer vision, pose estimation, shape reconstruction, structure from motion, segmentation, or object detection.
  4. experience in image or video processing and digital signal processing.
  5. strong programming skills in Matlab, C/C++, or Python. Previous hands-on experience with deep learning platforms and agile software development as well as experience of working within industry will be an advantage.
  6. very good written and communication skills and fluency in English.
  7. a driven, independent professional and self-reliant work attitude within a fast-paced & collaborative environment.

Informal enquiries about the project may be addressed to Dr Ami Drory. Please (i) insert your cover letter, CV and copies of academic transcripts into a single pdf file. (ii) Name the file with your name as ”firstName_lastName_phd”. (iii) e-mail to:, with [3D shape reconstruction PhD application – lastName] as the email subject.

Application instructions. Formal applications are to be made via

Closing date for applications. Review of applications will commence on 15 October 2019 and remain open until filled. A start date is expected to be as soon as practical thereafter.

The University. The University of Nottingham is a world-class University consistently ranked among the world’s top 100 universities. It is a Russell Group university and a member of Universitas 21 (U21), the global network of research-intensive universities. The University is ranked eighth in the UK on ‘research power’ in the latest REF rankings. The Faculty of Engineering is ranked in the top 10 in the UK with more than 98 per cent of its research ranked of international quality, with 85 per cent graded as ‘world-leading’ or ‘internationally excellent’.

The university was awarded the University of the Year for both International and Sports in the 2019 Guide. With award-winning campuses, University Park is The University of Nottingham’s largest campus at 300 acres. The campus is widely regarded as one of the largest and most attractive in the UK. Set in extensive greenery and around a lake, University Park campus has consistently won a Green Flag Award for its green and environmentally friendly spaces every year since 2003. The University of Nottingham was ranked the World’s second greenest university in 2019 (GreenMetric). The brand new £40 million David Ross Sports Village is now open, offering an inspirational and accessible sports provision for all.

PhD studentship at Insigneo Institute (University of Sheffield):

A stochastic finite-element model for predicting changes in bone strength

Closing date 22/09/2019

Employer: The University of Sheffield (Department of Mechanical Engineering)

Location: Sheffield, UK


Are you a bright, enthusiastic and self-motivated student interested in a PhD in biomechanics? An exciting multidisciplinary PhD opportunity is now available at the Insigneo Institute for in silico Medicine at the University of Sheffield, UK.

Pharmacological interventions that target improvement in bone strength typically seek to improve bone morphology (geometry). Yet, a model to predict change in strength, given knowledge of bone morphology changes, has not received much attention. The recently awarded project MultiSim2 (supported by the EPSRC, UK) will engage with this ageing-related challenge.

Changes in tibia geometry appear at distinct scales (doi: 10.1371/journal.pone.0219404)

Previously in MultiSim, in vivo micro-computed tomography enabled quantification of bone geometry changes in small animals (e.g. mice) with unprecedented spatial and temporal detail. The PhD student will use this information to:

  • Capture bone geometry changes driven by cellular processes using Gaussian Process emulators;
  • Implement a stochastic finite-element (sFE) model to predict bone strength changes in response to emulator parameters;
  • Analyse the global sensitivity and uncertainty propagation of the sFE model.

The expected start date for this project is December 2019.

About the University of Sheffield
The University of Sheffield is a Russell Group university, which represents the 24 leading UK universities committed to maintaining outstanding research and teaching environments. The University of Sheffield regularly ranks among the top 10 in the UK in terms of research output. In addition to having a long tradition of world-class engineering research, Sheffield benefits from geographical proximity to the industrial cities of Manchester, Liverpool and Leeds.

The ambition of the Insigneo Institute is to achieve a transformational impact on healthcare. As such, it possesses extensive experience in the development of computer simulations aimed at better understanding of the biomechanics of the musculoskeletal system. This project will be co-supervised by Dr Pinaki Bhattacharya, Dr Enrico Dall’Ara and Prof Visakan Kadirkamanathan. It will benefit as well from the multidisciplinarity of MultiSim2 research.

Candidate Profile
The successful candidate should have or be expected to obtain an excellent degree in mechanical engineering, bioengineering, computer science, physics, applied mathematics or a related discipline. Experience in finite-element analysis and in programming languages (e.g. C, C++, Matlab, Python) are essential. Exposure to high-performance computing is desirable.

Funding and Duration
A 3.5 year studentship, co-funded by the Departments of Mechanical Engineering, Oncology and Metabolism and Automatic Control and Systems Engineering, is available for UK and EU applicants. The studentship covers the cost of tuition fees and provides an annual tax-free stipend at the standard UK research rate.

How to apply?

To apply please use our standard on-line PhD application form and indicate on your form that you are replying to this advert or email for further guidance on applying.

Contact details

For further information about this project, please contact Dr Pinaki BhattacharyaDr Enrico Dall’Ara or Prof. Visakan Kadirkamanathan with “BONEsFE PhD studentship” in the title.


A PhD position is available within the Computational Mechanobiology Group at the Julius Wolff Institute (Charite Medical School in Berlin) on the topic of computational optimization of scaffolds to promote bone regeneration within large bone defects. 


Although bone has the fascinating ability to self-regenerate after injury, large bone defects often lead to delayed or non-unions. The treatment of these conditions remains a clinical challenge for which scaffold-based strategies appear as a promising approach. In this approach, 3D open porous structures are implanted in the bone defect with the aim to support bone regeneration. Although, preliminary pre-and clinical data show encouraging results, there is still a need to optimize these scaffolds to ensure successful healing. The growth of new bone within the scaffold is influenced by many factors, such as the scaffold architecture, material properties, patient health condition, etc. The aim of this project is to investigate the potential optimization of scaffolds to promote bone regeneration within large bone defects.


You will develop computer models to simulate the bone healing process and the interaction between mechanical signals (strains) within the healing region and biological processes (e.g. cellular migration, matrix deposition, etc.) taking place. You will simulate the interaction of the bone regeneration process with scaffold-support structures and develop algorithms for the computer optimization of the scaffold design to promote the bone healing process. You will be able to compare model predictions with experimental data from animal studies (e.g. histology, microCT) and to have access to patient data. The project is part of a research collaboration between several Institutes on the topic of “Personalised Bone Defect Treatment” (Funded by the BMBF).

Your profile

  • A degree in Mechanical Engineering/Computer Science/Mathematical Biology or a related discipline
  • Knowledge of Finite Element Modelling will be advantageous
  • Experience in Programming is required (e.g. C/C++, Matlab)
  • High motivation and strong interest in research

What we provide

This position is available for a period of three years. Salary will be commensurate with experience. You will work in a friendly team and in a unique research environment. As a PhD student you will be associated to the Berlin-Brandenburg School of Regenerative Therapies ( and benefit from the interaction with international students. Starting date: 1st October, 2019.

Interested candidates should send a CV, a cover letter and two references that could be contacted. Please email the application to Prof. Checa via email at:

Two Post-Doc and/or post-graduate Research Assistant positions at Università Campus Biomedico di Roma.

In the context of several National and International Grants, we are seeking two outstanding Post-Doc researchers and/or motivated post-graduate Research Assistants to join us in developing new wearable devices, systems, and data analysis tools for physiological and physical activities monitoring.

The ideal candidate should have the following expertise:
– Relevant publications in international journals and experience in fundraising
– Fluent English is essential
– Excellent interpersonal skills including team working and a collegiate approach. Self-motivation, initiative, and independent thought/working.
– Proficient in MATLAB, Python, C, C++ programming
– Experience in one or more of the following topics:

1. Wearable systems design and development, encompassing electronic design, assembly and testing, microcontroller-based programming.
2. Body Sensor Networks
3. Real-time data acquisition and processing and related algorithms
4. Experimental protocols on human subjects

We will appreciate if you could send your interest to apply by email to E. Schena (e.schena(AT), D. Formica (d.formica(AT) and C. Massaroni (c.massaroni(AT), including a motivation letter detailing how your research profile relate to the project and a CV.

Advanced International School on Imaging, Modelling and Simulation in Biomechanics and Mechanobiology (Rome, Feb 2020)

Dear Colleague,
This is the first-call-for-participation to the Advanced International School on Imaging, Modelling and Simulation in Biomechanics and Mechanobiology that we are organizing in the beautiful city of Rome on February, 24th-28th, 2020 (Italy).

The school has been endorsed by the ESB and members of the Society will receive a reduction on the registration fees.

The School will instruct on the importance of a rigorous and multidisciplinary approach for the effective translation of biomechanics models into the clinical practice. Six internationally-outstanding invited lecturers have been selected for covering topics that span from imaging, through theoretical biomechanics, up to computational biomechanics and mechanobiology: Vikram DeshpandeChristian GasserDaniel HurtadoBruno QuessonZohar Yosibash and Alessandro Veneziani.

Classes on basic notions in the morning will prepare attendants to lectures on advanced topics in the afternoon on a wide range of applications.

One session will be dedicated to talks from participants and one day will propose a series of Advanced seminars.

More information are available on the attached flyer and on the web-site

With our best regards,

Alessio Gizzi, Michele Marino, Giuseppe Vairo

Early Stage Researcher at Materialise (Belgium) and University of Zaragoza (Spain)

The CuraBone Project is looking for a highly motivated Early Stage Researcher ESR (PhD Students) interested in working in an ambitious multidisciplinary project to work at Materialise (Belgium) and University of Zaragoza (Spain). This ESR position is aimed to pursue part of the scientific objectives of CuraBone through the development of its own Individual Research Project (IRP). Take a look at the project description to know more about the project.

Find further information about the offer in Euraxess web page.

The applications may be done at either recruitment institutions: University of Zaragoza and Materialise. Find more information on how to apply below.

The selected candidate will be employed under a local employment contract for a maximum of 14 months, compatible with national and regional legislation and following the guidelines provided by the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers, including salaries with adequate and equitable social security benefits.

A career development plan will be prepared for the selected candidate in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. For more information please visit the Marie Sklodowska-Curie Actions Innovative Training Networks website.

To apply for the vacancy, please check the eligibility criteria below. If you fulfil all the requirements, send your application with all the necessary records to assess your candidature.

  • Not be in possession of a doctorate/PhD degree and should have less than 4 years of research experience (starting at the date of obtaining the master’s degree).
  • At the time of selection by the host institution, the candidate may not have resided or carried out his/her main activity (work, studies, etc.) in the country of their host institution for more than 12 months in the 3 years immediately prior to their recruitment under the project.
  • For Unizar’s Biomedical Engineering PhD, it is required 300 Graduate ECTS (of which at least 60 ECTS must of Master`s degree)

The applications may be addressed at either both recruiting institutions: University of Zaragoza and Materialise. Find more information to apply below. In case you had any doubts, please do not hesitate to contact us:

All applicants will be employed under a local employment contract for a maximum of 3 years, compatible with national and regional legislation and following the guidelines provided by the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers, including salaries with adequate and equitable social security benefits.

A career development plan will be prepared for each fellow in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment. For more information please visit Marie Sklodowska-Curie Actions Innovative Training Networks.

More details:

Petition, letter to EMA about in silico methods

The European Medicine Agency has recently published a document that describes its strategy until 2025:

The EMA proposed strategy recognizes the importance of emerging technologies in general and modelling and simulation, also known as in silico methods, in particular. However, the document tends to stress the value of in silico methods almost exclusively in connection with the reduction of animal experimentation. While we agree that this is a relevant application for such methods, it is not the only one and likely not the most impactful one for the patient and for the industry. The term In Silico Trials indicates a number of use cases, not only related to pre-clinical evaluation, but also to the reduction, refinement, and in some cases even replacement of clinical trials.

The VPH Institute together with the Avicenna Alliance, the Insigneo Institute for in silico Medicine and the Alma Mater Studiorum, University of Bologna has drafted an open letter, which will be sent to Prof Guido Rasi – the Director of EMA to raise our collective voices on this regard.

At this link you can find the full text and SIGN THE PETITION:

We wish to collect signatures on the document by as many experts in academia and industry as possible to make sure our voice is heard. We encourage you all to take a minute of your time to fill up this form and help us raising the awareness of your colleagues on this matter.

PhD-Position: FE Modelling of Knee Joints (Julius Wolff Institute, Berlin, Germany)

Position ID: DM.131.19b

The successful candidate will have the opportunity to perform cutting edge science to improve patient care in a collaborative project of the Charité-Berlin and the ETH-Zürich, while working on a worldwide unique dataset that includes measurements of in vivo knee loading and kinematics. The research project “In vivo knee joint loading and kinematics – the interplay between movement and loading at the patello-femoral and tibio-femoral joints” aims to extend the understanding of the complex mechanical interactions in the knee joint by combining in vivo measurements with detailed computational modelling. The position entails the possibility to pursue a doctorate degree. The position is placed mainly in Berlin, a vibrant city that is very attractive to young people due its rich cultural life. Regular visits at the ETH-Zürich to combine the expertise in this collaborative project are also part of the position.

Your area of responsibility
•    Finite element modelling of the dynamic contact of a total knee prosthesis at the tibio-femoral and patello-femoral interfaces
•    Coupling of finite element models to musculoskeletal multibody models which provide boundary conditions, like forces and kinematics
•    Development of an automated pipeline to generate and simulate modified versions of a reference finite element model in a systematic process
•    Reconstruction of 3D joint kinematics from fluoroscopic image data using available tools and eventually extending them

Your profile
•    MSc degree (or equivalent) in mechanical engineering or in a related field
•    Experience in finite element modeling, preferably of dynamic contact problems in Abaqus.
•    Preferably experience in automated generation of finite element models and the aggregation of the simulation results
•    Preferably experience in registration of medical image data and image processing
•    Ideally general purpose and scientific programming skills in a common language like: C++, Python, Matlab, R.
•    General interest in musculoskeletal biomechanics and mechanical simulation
•    Good English skills (oral and written)
•    Highly motivated, flexible, curious to learn and able to work independently

The tariff classification will be done according to the personal conditions of salary group 13 (65 %) of the tariff TV-Charité. You can find our collective agreements (Tarifverträge) here:

The candidate should be able to begin his employment by early fall 2019. The fixed-term work contract will expire with the end of the project on July 31, 2022.

Interested candidates should submit a motivational letter, CV, academic transcript and references by July 31, 2019. Applications should be sent to Dr. Adam Trepczynski (

Dr. Adam Trepczynski
Julius Wolff Institute
Charité – Universitätsmedizin Berlin

Marie Curie PhD position in Optimization of screw constructs for spinal applications

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 Department of Engineering Sciences is one of the largest at Uppsala University and conducts research within a number of different technical subjects. The department has approximately 360 employees and has its activities at the Ångström Laboratory and Campus Gotland.

The Marie Curie-PhD position is at the Division of Applied Materials Science, the Ångström Laboratory.

We are pleased to invite applications for a Marie Curie-PhD position in the new four-year EU-funded Marie Sklodowska-Curie ITN programme “Training innovative future leaders in research and development of materials and implants for the spine” (NU-SPINE,, project ID 812 765). This network is led by Prof. Cecilia Persson at Uppsala University and consists of three European universities (Uppsala University, ETH Zürich and University of Leeds) as well as industrial (IHI Ionbond AG, CeramTec GmbH, Key Engineering Solutions, SINTX Technologies and OssDsign AB) and clinical (Leeds Teaching Hospitals NHS Trust) collaborators.

Project description: NU-SPINE aims to deliver novel material compositions with a higher degree of biocompatibility as well as novel implant designs adapted to the local loading situation. Important deliverables for the network are also innovative methods for more accurate evaluation of the demanding tribological and corrosive conditions surrounding the implants. NU-SPINE will train talented researchers with the scientific and entrepreneurial mind required of the next generation of leaders in academia and industry connected to these medical devices. As a Marie Curie-PhD student, you will benefit from a tailored, multidisciplinary, scientific training programme, and be exposed to different environments via planned placements, and contribute to and organise workshops.

This Marie Curie-PhD project will focus on the development of validated numerical models for optimization of screw design and bone augmentation as a function of surrounding bone morphology. The project will (i) increase the understanding of failure mechanisms of a screw/bone and screw/bone/cement constructs, at the microscale, (2) produce 3-dimensional, validated numerical models of screw pull-outs in human bone and (3) develop novel screw and screw augmentation designs and recommendations, better adapted to the microstructure of the surrounding bone. The project will be performed mainly at Uppsala University. Main supervision will be undertaken by Prof Cecilia Persson (Uppsala University), with co-supervision from Prof Per Isaksson (Uppsala University) and Dr Jonas Åberg (OssDsign AB). The position includes secondments at ETH Zürich, Switzerland (5 months) and OssDsign, Sweden (1 month).

Your main duties will include:

  • Conducting world-class research focussed on materials development and implant design for spinal applications and NU-SPINE activities
  • Developing initiative, creativity and judgement in applying appropriate approaches to research activities
  • Actively participate in all relevant activities organised by the network as advised by the Supervisor
  • Attending meetings as required to discuss the project. This will involve occasional EU-wide travel, beyond that associated with secondments
  • Ensuring good day-to-day progress of work, and maintaining good records
  • Writing up results for publication and attending suitable conferences for their dissemination
  • Working both independently and also as part of a larger team of researchers, including interacting with and providing assistance to other staff in the research group and the NU-SPINE network and engaging in knowledge-transfer activities where appropriate and feasible
  • Contributing to joint discussions within the wider research group and network
  • Maintaining your own continuing professional development

These duties provide a framework for the role and should not be regarded as a definitive list. Other reasonable duties may be required consistent with the grade of the post.

We are seeking a candidate with:

  • An MSc or equivalent in engineering, with a focus on biomedical or mechanical engineering. Those with a degree in engineering physics with a relevant specialization may also be considered. Experiences within finite element modelling and/or biomechanics is an advantage.
  • A strong motivation and proven ability to work both independently and in a team
  • Good time management and planning skills, with the ability to meet tight deadlines and work effectively under pressure
  • Excellent written and verbal communication skills including presentation skills, in English
  • A strong commitment to your own continuous professional development

The eligibility criteria for this specific project are as follows:

  • The applicant must, at the date of recruitment, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. This is measured from the date when they obtained the undergraduate degree.
  • The applicant must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

The advertised project will be carried out by a PhD student (“Early-stage Researcher”) at Uppsala University over a period of 42-48 months, in addition departmental duties at a level of at most 20% (typically teaching) will be expected.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines

For further information, see and

Application: Applications should include a cover letter, including a brief description of experience relevant to the position and the candidate criteria stated above, a CV, copies of diplomas and certificates, preferably a master thesis (or a draft thereof) and other relevant documents. The candidates are encouraged to provide letter(s) of recommendation and contact information to at least two reference persons. All applications should be submitted through the Uppsala University job portal.

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.

Starting date: To be negotiated, but as soon as possible during 2019.

Scope of employment: 100 %

For further information about the position please contact: Cecilia Persson ( or Cecilia Alsmark (

Please submit your application by 28 June 2019, UFV-PA 2019/1970.

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 You are also welcome to contact International Faculty and Staff Services at

Please do not send offers of recruitment or advertising services. Applications must be submitted as described in this advertisement.

Placement: Department of Engineering Sciences

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100 %

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Saco-rådet 
Seko Universitetsklubben

Number of reference: UFV-PA 2019/1970

Last application date: 2019-06-28Login and apply

ESB Webinar Series – No.01

Learn How to use SimVascular: the open source pipeline for cardiovascular modeling

We are delighted to announce our first webinar of the ESB Webinar Series. The webinar will take place on June 11th 2019 at 17:00 CET. In this webinar, we are going to explore an open source software package to simulate and analyze the cardiovascular system. SimVascular is the only fully open source software package providing a complete pipeline from medical image data segmentation to patient specific blood flow simulation and analysis.

Presentation will be given by Mr. Gabriel Maher. Gabriel is a PhD Student at the Cardiovascular Biomechanics Computation lab at Stanford University, his research is focused on deep learning for cardiovascular medical imaging and he is one of the core developers of the SimVascular project

During the webinar, we will explore together with the developers the features and abilities of the software and the procedure of building and analyzing a complete cardiovascular model.

More specifically, you will learn how to use SimVascular to:

  • Build 3D patient-specific cardiovascular models
  • Run computational blood flow simulations
  • Visualize and analyze simulation data 

and become familiar with the features of the software such as:

  • Image Analysis: volume rendering, image denoising, edge detection
  • Model Construction: level set segmentation, model repair tools
  • Meshing: radius-based and boundary layer meshing, adaptive mesh refinement
  • Simulation: deformable walls, variable mechanical properties, highly parallelized solver
  • Machine learning to accelerate vascular segmentation
  • Python interface
  • Automated pipeline for 1D simulations
  • Enhanced capabilities for 3D segmentation

You will have the chance to ask your questions which will be addressed by the instructors at the end of the webinar. However, it would be great if you could send your question in advance while filling the registration form or by sending to and/or before the start of the webinar.

Click here to register for the webinar.

June 11th, 2019
17:00 CET
Live on ESB Youtube Channel – Please Subscribe! (

Looking forward to your attendance.

ESB Student Committe