A Ph.D.+MSc Position on Brain Surgery Simulation by XFEM and FleXFEM

Submitted by Stephane Bordas on Wed, 05/28/2008 - 13:12

High Performance Computing MSc+Ph.D. position available at the University of Glasgow on Massively Parallel Brain Surgery Simulation with the extended finite element method (XFEM and FleXFEM) (University of Glasgow) -- funding body is EPSRC.

One year MSc in HPC in Edinburgh (all costs covered by funding) + 3 year Ph.D. and access to HecToR, one of the world's largest super-computer, including training with experts in massively parallel simulation (10,000+ processors).

Supervisor: Dr Stephane Bordas,Dr Lee Margetts (Manchester)

Collaborators: Prof. Ray Ogden and Prof. Gerhard Holzapfel

Medical experts: two expert surgeons in Belgium and medical imagery + computer aided/guided surgery specialists, access to one in 30 interventional MRI scanners.

Eligibility: UK students have full funding. EU students will be discussed on a case-by-case basis. Closed to non EU students.

A Good second class or first class degree (preferred) or MSc in any field of engineering or science: mathematics, computer science, physics, biomedical engineering, civil engineering, mechanical engineering, aerospace engineering, electrical engineering.

Student should be self motivated and hard working with a strong interest in biomedical engineering and an outstanding background in Mathematics and Physics.

Standard EPSRC Stipend + all fees covered.

Aims and Objectives

                             This   project   aims   to   devise   and

                         validate a uniquely effective fully parallel surgery simulation tool for use in the

                          training, rehearsing and objective evaluation of surgeons to eradicate much of the

                          uncertainty   in   improving   existing   and   creating   new   surgical   procedures.   High

                          Performance   Computing   (HPC)   is   today   the   only   way   forward   to   simulate   the

                          effects   of   various   strategies   for   cutting   and   manipulating   brain   tissue   both

                          accurately and in realtime. Achieving this will provide a stepchange in surgical

Aim The main long term aim of the research in which this studentship is inscribed is to reconcile

realtime and accuracy in brain surgery simulation through cutting edge computational mechanics,

highperformance computing and realistic brain matter mechanical models. Achieving this aim is not

reasonably possible within a Ph.D.level research, the proposed work will provide a detailed proof of

concept required for further research by tackling the following four objectives.

Objectives (1) Optimise accuracy versus computational cost through cuttingedge numerical

methods (2) Develop and test massively parallel algorithms developed by leaders in HPC to achieve

realtime simulations (3) Utilise rigorous experimentallyinformed mathematical models of brain

tissue developed by world leaders in the field (4) Validate and verify the proposed simulation tool.

For the first time in the field of surgical simulation, the increased efficiency (objectives 1 and 2) will

allow realistic nonlinear material models to be used (objective 3) without sacrificing accuracy.

What is there for you in this project?

Benefit to the student: Suitability of the project for training Through the unique HPC training, the

student will acquire cuttingedge skills in highperformance computing. By working closely with Lee

Margetts, and expert in HPC, the proposed project will allow him/her to build upon and hone these

skills beyond the MSc training. What is more, the proposed research is highly multidisciplinary and

will train the Ph.D. student in computational biomechanics, which is a leading theme in today's research. More specifically, two major sets of skills will be acquired:

Numerical methods for evolving discontinuities [OpenXFEM++, FleXFEM, SB] XFEM is one of the

most highly researched fields in computational mechanics 5 articles in 19992000 and 74 in 2006

2007 for a total of 138 journal papers between 1999 and 2008 (source: scirus) and more than 400

citations of the original paper [8]. This method and its sibblings such as the Flexible XFEM
(FleXFEM) is very likely to become an industrial standard in the coming decade. The student will join

SB's group, one of the most active and recognized developers of XFEM today both academically and

industrially, which will be essential in the transfer of his/her skills after the Ph.D.

Element by element massively parallel architectures [ParaFEM, LM] An essential point for this

research is that after his/her Msc, the training of the student in HPC will continue intensively, through

the involvement of Lee Margetts, a recognized expert in massively parallel computing and an

experienced developer of HECToR supported packages. In particular, the student will be gradually

introduced to ParaFEM, developed and maintained by Lee Margetts.

Additionally, the student will benefit from the ongoing work of the team of Profs. Ogden and Holzapfel in softtissue modelling and be exposed to some of the leadingedge research by Prof. Ray

Ogden's group, of the host organisation, a world leading expert in fundamental theory in nonlinear

elasticity. These sets of skills are highly transferable and will provide the individual with a powerful

springboard for a successful career.

Please contact me for more details, this is only a preliminary advert

http://www.civil.gla.ac.uk/~bordas

stephane dot bordas at gmail dot com