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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).

PhD position at university of Portsmouth

STRAIN MEASUREMENT IN SOFT TISSUES AND BIOMATERIALS USING HIGH-RESOLUTION X-RAY COMPUTED TOMOGRAPHY (XCT) AND DIGITAL VOLUME CORRELATION (DVC)

Closing date: 23 February 2020

Applications are invited for a fully-funded 3-year PhD to commence in October 2020. 

The PhD will be based in the School of Mechanical and Design Engineering, Faculty of Technology and will be supervised by Dr Gianluca TozziDr John Chiverton and Professor Gordon Blunn

This PhD studentship is one of six PhD studentships funded by the University of Portsmouth in the area of biomaterials and bioengineering.  These studentships  will support the University’s strategic plan engaging with clinicians working in Portsmouth Hospital Trust to solve real-life medical problems.   The successful applicants would be part of a cross-faculty research cluster in medical technologies.

This programme of research involves several Schools based in the Faculty of Science and Health and the Faculty of Technology.  The vision of the cluster is to train a cohort of PhD students who contribute to the academic environment, some of whom would be expected to develop academic careers in this expanding area whilst others would be employed in the growing international medical technologies industry. 

Training would be enhanced by extended visits to other institutions involved in similar research and by visits to hospitals to meet with clinicians involved in the research projects.

The scholarship covers tuition fees and an annual maintenance grant of £15,009 (UKRI 2019/20 rate) for three years.  Scholarship recipients will also receive up to £3,000 for research project costs/consumables during the duration of the programme.

The work on this project will involve:

  • Advances in X-ray computed tomography (XCT) to visualise and quantify morphology in musculoskeletal soft tissues and biomaterials.  
  • In situ XCT mechanical testing and digital volume correlation (DVC) to evaluate full-field strain distribution in soft tissues and biomaterials when incremental physiological loading is applied. 

Musculoskeletal disorders (i.e. osteoarthritis – OA and post-traumatic osteoarthritis – PTOA) have a huge impact on society. In particular, those conditions affect soft tissues such as articular cartilage deterioration and ligament/tendon injury, where the need of understanding their morphology and mechanics is of paramount importance to design new biomaterials and treatments.

High-resolution X-ray computed tomography (XCT) offers accurate resolution to visualise and quantify morphology in mineralised tissues such as bone. XCT setups are typically limited to bone tissue imaging due to weak absorption of soft tissues (i.e. cartilage, ligaments). Therefore, they are very difficult to image with sufficient contrast. This project will provide fundamental advances in XCT-based imaging of soft tissues such as ligaments, cartilage and 3D printed or electrospun tissue replacements.

The project will benefit from state-of-the-art XCT facilities and dedicated software available at the Zeiss Global Centre (ZGC, SMDE, UoP), which will provide unique phase-contrast/retrieval capability and in situ mechanical rigs to image and mechanically evaluate soft materials, without the need of elaborated staining procedures.

The project will play a strategic role in the development of imaging technology at the ZGC, and help the centre to retain its national and international reputation in the evaluation of biological tissues and biomaterials (i.e. DVC) for Bioengineering. 

How to apply

We’d encourage you to contact Dr  Gianluca Tozzi at gianluca.tozzi@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. 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 the project code SMDE5070120 when applying.

More info: https://www.port.ac.uk/study/postgraduate/postgraduate-research/research-degrees/phd/explore-our-projects/strain-measurement-in-soft-tissues-and-biomaterials

Bone Mechanics and Tissue Engineering Workshop in Zaragoza

We are pleased to present you the Workshop “Bone Mechanics and Tissue
Engineering” that will be held the 6-7th February 2020 in Zaragoza
(Spain) (http://curabone.unizar.es/)

Where:

Edificio Paraninfo, University of Zaragoza (Spain)

Who:

•    Scott Hollister – Georgia Institute of Technology and Emory
University (USA)
•    Gwendolene Reilly – The University of Sheffield (UK)
•    Bert van Rietbergen – Eindhoven University of Technology (NL)
•    Michael Skipper Andersen- Aalborg University (DK)
•    José Manuel García Aznar – University of Zaragoza (ES)

Registration form:

The workshop is free. But you need to register before 15th January 2020.
Limited places.
Lunches are not included, only the workshop materials.

Dra. MªAngeles Pérez Ansón

Associate Professor of Structural Mechanics (Profesora de M.M.C. y T.E.)
Mechanical Engineering Dept. (Depto. Ingeniería Mecánica)
Escuela de Ingeniería y Arquitectura (EINA)
Aragón Institute of Engineering Research (I3A)
University of Zaragoza (Universidad de Zaragoza)

PhD scholarship @Pompeu Fabra, Barcelona

PhD Project D-Risc: Multiscale modelling & data mining for intervertebral disc degeneration risk prediction
(Pompeu Fabra University, Barcelona, Spain)

GRANT PROGRAMME: “LA CAIXA” DOCTORATE INPHINIT

35 PhD fellowships for early-stage researchers of any nationality to pursue their PhD studies in research centres accredited with the Spanish Seal of Excellence Severo Ochoa, María de Maeztu or Health Institute Carlos III. This frame is addressed exclusively to PhD research projects on STEM disciplines: life sciences and health, experimental sciences, physics, chemistry and mathematics.

More information

POSITION: “D-Risc: Multiscale modelling & data mining for intervertebral disc degeneration risk prediction

Area and discipline: please choose 1 from the following list:

Area of knowledge

Physical Sciences, Mathematics and Engineering

Group of disciplines
Telecommunications, Electronics, Robotics, Biomedical Engineering, Automation Engineering, ICT

Discipline

Biomedical Engineering, ICT

Research project / Research Group description:

Research project and main focus of the research line of the research group in which the fellow would join

D-Risc aims to reveal critical interplays of crucial stimuli within the intervertebral disc (IVD) that might lead to IVD degeneration, based on morphological and physiological parameters. Different models at the organ, tissue and cellular levels will be used. Specifically, the project will combine multi-physics finite element models at the organ and tissue levels with agent-based and network models at the cell and molecular levels, to simulate the local regulation of IVD cells in multifactorial physical and biochemical micro-environments. Simulation results will be mined with patient-specific morphological, physical activity and life-style data. Depending on the identified multiscale paths that can lead to degeneration-related cell activity (i.e. catabolic shift of cell activity), personalised recommendations for prevention- and optimised conservative treatments will be established.

D-Risc will exploit the competencies of the Biomechanics and Mechanobiology (BMMB – http://biomech.es) lab of the BCN MedTech research unit at the Department of Information and Communication Technologies (DTIC) of the Universitat Pompeu Fabra (UPF), Barcelona. The project will be additionally implemented in cooperation with the medical image analysis and machine learning areas of BCN MedTech (http://bcn-medtech.upf.edu/).

UPF was established in 1990 as a public university with strong dedication to excellence in research and teaching. It is the 1st Spanish university in the world Top 200 (THE2020), the 11th (ranked 5th in Europe and 1st in Spain) under 50 years (THE18). It also ranked 5th in Europe and 1st in Spain (U-Multirank 2018) in teaching and research performance (U-Ranking, BBVA Foundation & Ivie, 2018), quality output (excellence rate), normalized impact and percentage of collaborative papers with foreign institutions. UPF is full member of the Big Data Value Association (BDVA). DTIC has since its creation emphasized scientific excellence and internationalisation as core aspects of its activities. It has an important track record of active participation in EU projects (a total of 66 FP7 projects and 10 other projects in non-FP7 program such as CIP, Ambient Assisted Living and the Lifelong Learning Program, and, up to now 44 H2020 projects). It is the Spanish university department with the largest number of ERC grants (9 FP7 and 9 H2020) and is part of the FET Flagship initiative “The Human Brain Project”. DTIC has been awarded the “María de Maeztu” excellence by the Spanish government for the quality and relevance of its pioneering scientific research.

BCN MedTech is the Barcelona Centre for New Medical Technologies at UPF. It focusses on biomedical integrative research, including mathematical and computational models, algorithms and systems for computer-aided diagnosis and treatment, and the translation thereof into relevant clinical problems and industrial products. It has a team of 60 full time researchers working on medical image and signal processing, computational simulation, computer-assisted surgery and biomedical electronics. Within BCN MedTech, the BMMB lab combines mechanistic and stochastic theoretical modelling with computational methods in biology and physics, to rationally explore the complex multiscale interactions between tissue multiphysics and biological processes, and to understand the bottom-up regulation of the functional biomechanics of organs in health and disease. The specific targets are cartilaginous (rheumatic disorders), bone (osteoporosis), arterial (atherosclerosis) and lung (emphysema) tissues. The project will combine this expertise with computational anatomy and manifold learning techniques for patient stratification, from the BCN MedTech medical image analysis and machine learning areas.

Job position description: role, responsibilities and skills required within the project/group.

D-Risc capitalizes on previous research at BCN MedTech, to assess the risk of disc degeneration (DD). Patient-specific IVD finite element (FE) models will be coupled to agent-based (AB)/network cell models, to predict catabolic shifts of cell activity in function of morphological, metabolic and mechanical factors. According to subsequent machine learning analyses, specific combination of factors will be identified as possible risks for DD.

Low back pain (LBP) affects up to 85% of people at some point in life. It is strongly related to DD, with phenotypes that cannot be explained solely by genetic factors as they also depend on mechanical loads.

In vivo or in-vitro studies investigated DD at the cell and tissue levels, but they are costly and limited in terms of parameterization, effective number of measurements and long-term observations. In contrast, computational modelling allows testing different boundary conditions (mechanical, biochemical, …) and numerous theoretical hypotheses over long timescales, at a relatively limited cost. 

Coupled to personalized organ models, multiscale models and simulations can indicate common patterns in specific groups of IVD, as well as critical combinations of cell stimuli and the effects thereof on DD observable features. In particular, the mining of model inputs together with simulated data can reveal such patterns and combinations.

The successful candidate will join the BCN MedTech team and will be co-supervised by faculties, experts in computational multiscale modelling and machine learning. (S)He will systematically analyze the 3D anatomy of 500 patient-specific IVD FE models, available at UPF, to define relevant groups of FE /AB multiscale simulations. Then, (s)he will use machine learning algorithms to build correlation models among personalized model inputs and predicted cell activity, to create a DD risk score model. 

D-Risc will involve key collaborations with population cohort infrastructures in UK and Finland.

PRINCIPAL INVESTIGATOR & CONTACT AT HOST

Dr Jérôme Noailly
Contact: jerome.noailly@upf.edu

Barcelona Centre for New Medical Technologies (BCN MedTech)

Department of Information and Communication Technologies

Universitat Pompeu Fabra, Barcelona, Spain

ADDITIONAL INFO

Press articles related with the work of the BCN MedTech BMMB team in disc degeneration:

CONTRACT CONDITIONS & ELEGIBILITY

The maximum total payment amount will be €122,592, as broken down below:

  • Three annual payments of €34,800 each one. Where applicable, the amounts corresponding to the Social Security contributions payable by the employer (in this case, the host institution), as well as any other compulsory fee, whether current or that may be provided for in a future legal framework, will be deducted from the yearly gross amount of €34,800 to be received by the fellow.
  • €3,564 per year, as an additional amount for conferences, courses, research stays, consumables, equipment, charges for the use of intellectual property, etc. This additional amount will be managed by the centre for the benefit of the fellow and must be justified separately.
  • ”la Caixa” Banking Foundation will award a prize of €7,500, which will be paid in the fourth year, should the fellow be able to deposit their thesis within 6 months after the third year of their fellowship has ended.
  • ”la Caixa” Banking Foundation will sign an agreement with the host institution, which will receive the fellowship payment directly. This must be wholly allocated to cover the amounts arising from Social Security contributions and other required corporate expenses payable by the employer, where applicable, as well as the fellow’s gross stipend and the additional amount.

Eligibility:

  • Experience: At the call deadline, applicants must be in the first four years (full-time equivalent research experience) of their research careers and not yet have been awarded a doctoral degree.
  • Studies pursued: At the time of recruitment, candidates must comply with one of the following options:
    • To have completed the studies that lead to an official university degree adapted to the European Higher Education Area awarding 300 ECTS credits, of which at least 60 ECTS credits must correspond to master level.
    • To have completed a degree in a university not adapted to the European Higher Education Area that gives access to doctoral studies. The verification of an equivalent level of studies to the ones mentioned above will be made by the university when the admission procedure starts.
  • Geographic mobility: For candidates applying to Spanish centres or units: Candidates must not have resided or have carried out their main activity (work, studies, etc.) in Spain for more than 12 months in the 3 years immediately prior to the call deadline.
  • Level of English: Candidates must have a demonstrable level of English (B2 or higher).

APPLICATION & DEADLINES

How to apply: https://obrasociallacaixa.org/en/investigacion-y-becas/becas-de-la-caixa/doctorado-inphinit/incoming

Deadline: 4 February 2020

Important dates:

18 February 2020 – Deadline for submitting the language certificate.

16 April 2020 – Notification of the shortlist results.

27 and 28 May 2020 – Face-to-face interviews in Barcelona.

2 June 2020 – Publication of the final list of selected candidates.

From 2 to 30 June 2020 – Matching research centre – fellow.

Two PhD Positions at The City College of New York

The Laboratory of Dr. Alessandra Carriero in the Department of Biomedical Engineering at The City College of New York, is offering two PhD Positions in the field of Bone Multiscale Mechanics and Mechanobiology, and Hearing Biomechanics.

Dr. Carriero’s research focuses on providing a comprehensive understanding of bone mechanics and adaptation in healthy, aging and disease so to aid in the development of new treatment strategies for bone frailty and deformities, and hearing loss.  Dr. Carriero’s lab uses mechanical engineering methods, material science approaches, high-resolution imaging, clinical data and biological analysis to reveal how mechanical forces influence bone growth, maintenance and function. Bone fragility is very common but yet not well understood. Understanding the mechanisms of bone failure and hearing loss in frailty has potential to make a significant positive impact on the quality of life of people worldwide, while delivering economic benefits to our society.

Position 1: This research will reveal the contribution of bone composition and structure to mechanical properties of bone along its multiscale hierarchy and specifically on its fracture toughness. The specific aims of this PhD project are to 1) investigate the fracture toughness properties of bone using high-resolution imaging acquisition and analysis for bone composition and structure while simultaneously fracturing bone in healthy, disease and treated bone; (2) assess local bone measurements with biomarkers and compare these to the structure/composition and mechanics of bone; (3) develop new multiscale modeling approaches to evaluate fracture resistance in brittle bones and treatments.


Position 2: This research will contribute to understanding of hearing loss in osteogenesis imperfecta (or brittle bone disease). The specific aims of this PhD project are to 1) develop novel high-resolution imaging acquisition analysis for cochlea micromechanics; (2) assess bone and soft tissue structure, composition and mechanics in mouse ears; (3) develop modeling approaches to evaluate cochlea mechanics in healthy, disease and treated conditions.

Both positions will be based at The City College of New York, where the students will be enrolled in the Doctorate Program in Biomedical Engineering, and research will be conducted in collaboration with other institutions in US and UK, particularly Hospital for Special Surgery, Northwestern University, Imperial College and the Diamond Light Source.

The successful candidate holds or will soon receive a Master’s or an equivalent Degree in Biomedical Engineering, Mechanical Engineering, Physics, Materials Science or Mathematics. A high motivation to work in a pioneering research environment at the interface between engineering, science and medicine is essential as well as the enthusiasm to work in an international and multidisciplinary team. Availability to travel internationally and work with animals is required. Good knowledge of English (oral and written) is essential. Experience in one or more of the following is desirable: biomedical research, mechanical testing, experimental testing of bone, imaging acquisition, imaging processing, computational modeling techniques.

We look forward to receiving your application including a motivation letter, CV, university transcripts and names and contact details of three references. Applications must be submitted to Dr. Carriero at acarriero@ccny.cuny.edu. The positions are available immediately and will last until filled.

For further information about the positions, please contact Dr. Alessandra Carriero at acarriero@ccny.cuny.edu.

Marie Sklodowska-Curie PhD Position

Marie Curie PhD position in the EU ETN: Skin Tissue Integrity under Shear (STINTS)

Applications are invited for an Early Stage Researcher position in the Musculoskeletal Biomechanics Laboratory of the Department of Biomedical Engineering at the Faculty of Engineering of Tel Aviv University (TAU), Israel.

The topic of the PhD is the development and implementation of multiscale/multiphysics soft tissue models in non-diabetic and diabetic/obese persons, in the context of the individual risk for pressure ulcers or diabetic foot ulcers.

Other institutions in the STINTS network include Eindhoven University of Technology (Prof. Cees Oomens) and Université Grenoble Alpes (Prof. Yohan Payan): https://cordis.europa.eu/project/rcn/218412/factsheet/es

The link to the advertisement for this position with further details about TAU, the STINTS European Training Network (ETN), and personal requirements/eligibility criteria can be found here: https://euraxess.ec.europa.eu/jobs/378983

 Informal enquiries are encouraged and should be directed to: Prof. Amit Gefen (gefen@tauex.tau.ac.il)

 Closing date for applications: 8th November 2019. The position is available now, with a start date expected to be as soon as is practical.

POSTDOCTORAL FELLOW in PARIS

Project information:

The “Birdsong for Human(e) voices” project is funded by the CRI and is led by Dr. Pauline Provini. More information on the project: https://projects.cri-paris.org/projects/tY6OqgWS/summary

Job Description Summary:

We are searching for a highly motivated, independent, multidisciplinary postdoctoral researcher to be part of a team focusing on understanding the biomechanics of birdsong. The postdoctoral researcher will play a substantive role in planning and conducting research by using quantitative modelling methods. In close collaboration with the Principal Investigator, the postdoctoral researcher will

  • Participate to the collection of experimental data (multiple X-ray and light high-speed videos, Particle Image Velocimetry data, acoustic data, etc.) of different species of birds during vocalization.
  • Fluid dynamics analysis (CFD model) of bird vocalization.
  • Aero-acoustic modelling of birdsong based on experimental data collected by the team.
  • Draft and publish scientific papers derived from the data.
  • Attend annual scientific meetings to present research derived from the project research.
  • Actively participate to meetings, seminars, and CRI life in general.

Minimum Qualifications:

PhD qualification with relevant research experience in biomechanics (e.g. engineering, modelling) or a closely related field.

Additional positive qualifications:

Specific expertise in one or more of the targeted experimental techniques (PIV, XROMM, and acoustic recordings), experience with live animals, and knowledge of the functional morphology of vertebrates are considered as additional positive elements for the candidate. An interdisciplinary background is highly appreciated.

Typical Hiring Range: Full-Time job ±2200 Euro/month (net) according to the INSERM salary scale.

Location: Centre de Recherche Interdisciplinaire, 8bis Rue Charles V, 75004 Paris France.

Institution information:

The Center for Research and Interdisciplinarity (CRI) experiments and spreads new ways of learning, teaching, conducting research and mobilizing collective intelligence in life, learning and digital sciences. The CRI promotes scientists who thrive in dynamic environments, are inspired and motivated by daily interactions with diverse peers, work best in teams and comfortably mix disciplines, rearranging, straddling field boundaries and wish to explore uncharted domains.

Job Open/Close Date: Fall 2020/ Summer 2022.

Required Documents

To apply for the position, please send the following documents to Pauline.provini@cri-paris.org:

  1. Curriculum Vitae
    1. Cover letter summarizing research interests, professional experience, and career goals.
    1. Names and Contact Information for References

Please have 2 recommendations forwarded directly to Dr. Pauline Provini email address by those individuals providing the references. These should not come from the applicant.

Review of applications will begin on September 15th and continue until the position is filled.

2nd ESB Webinar Announced: OpenSim

Jumping into Musculoskeletal Modeling with OpenSim

We are delighted to announce the second webinar of the ESB Webinar Series which will introduce the OpenSim Software. The webinar will take place on October 16th 2019 at 18:00 CEST.

OpenSim is a freely-available, open-source musculoskeletal simulation software for visualizing and simulating movement. Musculoskeletal modeling and simulation are powerful tools to help understand the complex interactions between the neuromuscular and skeletal systems during movement.

This webinar aims to:

  • Introduce the main capabilities of OpenSim, including new features from the latest release of the software
  • Demonstrate a typical pipeline of creating and visualizing a muscle-driven simulation starting with motion capture data of a subject jumping

By the end of this tutorial, attendees will learn some of the core capabilities of OpenSim, including how to:

  • Load and visualize motion capture data
  • Load and explore a musculoskeletal model
  • Visualize a motion
  • Create a dynamic simulation.

The webinar will be conducted by Dr. Jennifer Hicks. Dr. Hicks is Associate Director the National Center for Simulation in Rehabilitation Research, an NIH-funded center at Stanford University that brings state-of-the-art engineering tools to rehabilitation scientists. In addition, she is the Research and Development Manager of the OpenSim software project, guiding the project’s development team and serving as the voice of the software user/researcher.

The seminar will last 45 minutes followed by 15 minutes of Q/A from the audience. You will have the chance to ask your questions which will be addressed by the speaker 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 Ehsan.soodmand@charite.de and/or rodrigo.romarowski@grupposandonato.it  before the start of the webinar.


Click here to register for the webinar.


October 16th 2019 18:00 CEST

Live on ESB YouTube Channel – Please Subscribe! (https://www.youtube.com/esbiomech )

Looking forward to your attendance.

ESB Student Committee

Fully funded PhD studentship @Nottingham

The link to the position advertisement is  http://jobs.nottingham.ac.uk/ENG1305 .

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: Ami.Drory@nottingham.ac.uk, with [3D shape reconstruction PhD application – lastName] as the email subject.

Application instructions. Formal applications are to be made via http://www.nottingham.ac.uk/pgstudy/apply/applyonline.aspx

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

Description

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 me-pgadmit@sheffield.ac.uk 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.