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CMIC Research Vacancies and Studentships

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CMIC Research Vacancies and Studentships

Lecturer in Medical Image Computing, - UCL  Ref:1398556 

UCL Department / Division Medical Pyhsics and Bioengineering

Specific unit / Sub department The Centre for Medical Image Computing

Grade 8

Hours Full Time

Salary (inclusive of London allowance) £40,618 to £47,915 per anum inclusive

Duties and Responsibilities

The department has established a new Lectureship to join the Centre for Medical Image Computing. This is an exciting opportunity to join an internationally leading group working in medical image computing across a wide range of technologies and clinical applications. We are particularly interested in strengthening our research in computer assisted interventions and cancer imaging as we build world class activity in these areas on the back of significant recent grant success. The successful candidate will coordinate and build activity in this or a related area in close collaboration with our clinical partners in our Academic Health Sciences Partnership, UCL Partners, as well as build national and international collaborations. He/she will also be expected to build close collaborations with the medical device industry.

The Lecturer will be expected to generate significant funds from a wide range of sources to build his/her research programme. He/she will supervise or assist supervision of undergraduate, taught graduate (Masters) and research graduate (MPhil/PhD) students, and in particular will engage actively with the new EPSRC Centre for Doctoral Training in Medical Imaging. He/she will also teach at undergraduate and graduate level in areas allocated by the Head of Department and reviewed from time to time by the Head of Department.

Key Requirements

The successful candidate will have a PhD in an area related to Medical Image Computing and will be establishing an internationally leading track record in this area. Areas that the Centre has identified to develop include image guided interventions and cancer imaging. An outstanding record of ability to conduct high quality research which is reflected in the authorship of high quality publications or other research outputs, in the area of medical imaging and engineering is essential. The successful candidate will have an internationally leading track record in medical image computing.

Further Details

If you have any queries regarding the academic content of the vacancy please contact Professor David Hawkes d.hawkes@ucl.ac.uk. For queries regarding applying please contact Ron Gaston r.gaston@ucl.ac.uk.

UCL Taking Action for Equality

Closing Date

2 Mar 2014

Latest time for the submission of applications

5pm

This appointment is subject to UCL Terms and Conditions of Service for Academic Staff.


Click here for further details and an online application form.

 

Postdoc Position in Imaging Science

 

Applications are invited for a postdoctoral Research Associate in Imaging Science to work with Prof. S. Arridge, Dr. M. Betcke and Dr. B. Cox, to develop novel spatio-temporal modelling and reconstruction methods for dynamic high-resolution photoacoustic tomography (PAT). The advertised post is a part of a large interdisciplinary group, based in the UCL Centre for Inverse Problems, the UCL Centre for Medical Imaging Computing, and the departments of Computer Science and Medical Physics & Bioengineering researching new instrumentation and algorithms for the emerging field of Imaging from Coupled Physics. 

The Research Associate will contribute to the development of novel spatial temporal analysis methods including compressed sensing, generalised linear models, and state space estimation. A strong background in mathematics, scientific computing or related areas is required. In particular, candidates should have experience with dynamic imaging from undersampled data and inverse problems. Software development experience in a high level programming language and knowledge of Matlab are essential. 

The post is funded until 31 December 2015 in the first instance.

Informal enquiries may be addressed to 

Prof. Simon Arridge, tel: +44(0)20 7679 3714, email: s.arridge@cs.ucl.ac.uk or 

Dr Marta Betcke, tel: +44(0)20 7679 4355, email: m.betcke@ucl.ac.uk or 

Dr Ben Cox,  tel: +44 (0)20 7679 0292, email b.cox@ucl.ac.uk

The closing date for the applications is 24 Feb 2014.

 

 

 


Past Vacancies Research Associate / Senior Research Associate – Software Engineering in Medical Image Registration, - Ref:1377726 

UCL Department / Division Medical Physics and Bioengineering

Grades 7-8

Hours Full Time

Salary (inclusive of London allowance) Grade 7 £32,375 - £39,132 per annum; Grade 8 £40,216 - £47,441 per annum

Duties and Responsibilities

The purpose of this post is to be the principal research software engineer to develop and maintain a multi platform software package for medical image registration.  Software will be developed for both CPU and GPU technologies. The successful candidate will interface with the algorithm developers and the end users. Writing user documentation and training materials is an important aspect of the role. This post is available for 24 months in the first instance.

Key Requirements

A minimum 2:1 honours degree in computer science, engineering, physics, mathematics or a related subject is required.  A PhD or equivalent or equivalent industrial experience in scientific computing including numerical optimisation is essential.  Applicants should have a high level of proficiency in programming in a scientific environment including skills in CUDA and OpenCL.  A knowledge of software version control packages such as SVN or GiT. To be eligible for the grade 8 post applicants must demonstrate experience of leading a team of research staff and students.  They must also have a good publication record in peer reviewed publications. 

Further Details

A job description and person specification can be accessed at www.ucl.ac.uk/hr. Search for job reference 1377726

If you have any queries regarding the vacancy please contact Professor Sebastien Ourselin, s.ourselin@ucl.ac.uk.

 

The department is currently looking to recruit a further Research Associate in MR Physics. See vacancy reference 1377810 for further details.

 

We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level.

UCL Taking Action for Equality

Closing Date 29 Nov 2013

Latest time for the submission of applications 5pm

This appointment is subject to UCL Terms and Conditions of Service for Academic Staff.

Please use these links to find out more about the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL.

Research Associate in Image Guided Liver Surgery, - Ref:1127479  UCL Department / Division Medical Physics and Bioengineering The Centre for Medical Image Computing

Grade 7

Hours Full Time

Salary (inclusive of London allowance) £31,778 to £38,441 per annum

Duties and Responsibilities

The project involves developing image registration techniques and motion and soft tissue modelling for use in image guided liver surgery. This will involve development of new algorithms and implementing them in C/C++ or similar. Assembly of system for trialling in the clinical environment with close involvement of clinical groups at UCH will be a key part of the role.

This post is available for two years in the first instance.

Key Requirements

Applicants should have a PhD in a related field such as Computer Science, Mathematics, Physics, Engineering or similar. Candidates are required to possess an excellent understanding of the principles and practical aspects of medical image processing and analysis.  They will be highly self motivated and able to work independently and as part of a multidisciplinary team.A demonstrable record of peer reviewed journal publications is essential. An ability to assemble equipment for use in a clinical environment is required.

Further Details

Applicants should apply on line. Please click the 'apply now' button at the botton of the advert. A job description can be accessed below.

If you have any queries regarding the application process please contact Ron Gaston, r.gaston@ucl.ac.uk, tel 020 7679 0221.

Please visit www.ucl.ac.uk/cmic for further details on the Centre for Medical Image Computing.

UCL Taking Action for Equality

Closing Date 18 Feb 2010

Latest time for the submission of applications

5 pm

Job description and person specification.  Word     PDF

 

Research Associate

Applications are invited for a Post Doctoral Research Associate based in the Dementia Research Centre (DRC), UCL Institute of Neurology. The DRC is a multidisciplinary group conducting research into the diagnosis and treatment of dementia. The post-holder will be part of the DRC’s image analysis team which has an international reputation for image analysis methods and their application to clinical studies and multi-centre therapeutic trials. The Centre has strong links with the Centre for Medical Image Computing (CMIC), the postholder will have opportunities to interact and collaborate with the CMIC researchers.

The post-holder will be part of an ongoing study using diffusion imaging to characterise neurodegeneration in familial Alzheimer’s disease (AD) and related disorders through the collection and analysis of unique longitudinal data.  He/she will be involved in image and other data analyses and the preparation of results and methods for publication. Applicants should have a PhD in a relevant scientific discipline or equivalent experience, and general imaging processing knowledge.  Programming skills in C/C++/Java are essential, as is the ability to work in a multidisciplinary environment.

Starting salary on UCL Grade 7 £31,778 - £38,441 per annum inclusive of London Allowance. The post is funded for 2 years in the first instance and is available from February 2010.

Closing date:  29 January 2010.

 

Informal enquiries can be made to Sebastien Ourselin: s.ourselin@cs.ucl.ac.uk

 


 

Research Associate Doctoral Training Coordinator.

CMIC are looking for a post graduate research associate to help coordinate and manage our Doctoral Trainig Programme.  The candidate will join a team of academics and research scientists who will advise students and supervisors on suitability of projects.  The candidate must have a PhD in a relevant subject and have a good track record and understanding of research methods.  It is essential that the candidate has a good understanding of medical image computing to be able to advise on project selection.  The candidate must have excellent organisational skills and be a good communicator.  The position is available for three months on a one month rolling contract.
 

Please contact Ron Gaston for more details.

Closing date for applications is Wed 9th Sept 2009.

 


 

 

Research Associate in Biomechanical Modelling

Grade: 7 Salary range: from spine point £28,839 per annum to £35,469 per annum plus £2,781 per annum London Weighting.

As a result of several recent grant awards CMIC is pleased to offer a Post-Doctoral Research Associate in the field of breast cancer imaging. We are particularly interested in applications from scientists with experience and a strong publication record in biomechanical modelling. Additional experience in computational imaging and computer vision techniques would also be beneficial, and strong mathematical skills are essential.

The successful candidate will join a team of scientists investigating methods for comparing and combining information from the full spectrum of breast imaging modalities including x-ray mammography, magnetic resonance imaging, tomosynthesis and 3D ultrasound. In each of these modalities positioning of the subject varies enormously making comparison of the data a challenging task. We plan to take a comprehensive model-based approach to making meaningful comparisons between these modalities. We aim to develop methods, which are generic and capable of broad application to other fields in medical image analysis where organs are imaged whilst undergoing mechanical deformation.

CMIC works at the interface of Engineering, Computer Science and Biomedicine with access to world-class clinical imaging facilities at UCH, the Institute of Neurology and the Institute of Child Health, the preclinical imaging facilities of the Centre for Advanced Biomedical Imaging, its own dedicated computing resource as well as UCL's Legion high performance computer facilities. We are located at the heart of the Bloomsbury Campus with labs in Computer Science, Medical Physics and Bioengineering, the Cancer Institute and the Institute of Neurology. UCL Campus is located close to London's West End, the main entertainment district of London, and the major transport hubs of Euston, St. Pancras International and King's Cross railway stations.

For further information and an application form please contact CMIC (cmic@ucl.ac.uk).

UCL Taking Action For Equality.

The closing date for applications is Thursday, 30th April 2009.


Research Associate in Medical Image Reconstruction

UCL DEPARTMENT OF COMPUTER SCIENCE

UCL CENTRE FOR MEDICAL IMAGE COMPUTING

Inverse Problems in Medical Imaging

The Vision and Imaging Sciences group has a position for an outstanding post-doctoral researcher in the application of inverse problems to medical image reconstruction. The position will be based in the Department of Computer Science (UCL-CS: http://www.cs.ucl.ac.uk

<http://www.cs.ucl.ac.uk/>) forming part of the Centre for Medical Image Computing (CMIC: http://cmic.cs.ucl.ac.uk <http://cmic.cs.ucl.ac.uk/>), at University College London (UCL: http://www.ucl.ac.uk <http://www.ucl.ac.uk/>).

The applicant will join the group developing innovative reconstruction methods for linear and non-linear tomographic imaging modalities. The ideal candidate will be strongly motivated and will demonstrate an ability to develop theoretical methods into practical solutions, and to be able to work with experimental scientists. The project is orientated towards the development of diffuse optical tomography applications in preclinical imaging and neuroscience, in conjunction with multimodality imaging techniques. The successful applicant will work as part of a team within the broader TOAST project (http://web4.cs.ucl.ac.uk/research/vis/toast/).

The position will involve the development of mathematical and computational tools and will require strong mathematics background and ability in programming in C/C++/Java or other high level languages.

Experience of programming in Matlab will be an advantage. The ideal candidate will have experience in developing efficient optimisation algorithms for large-scale non-linear inverse problems such as occur in tomography or machine vision. Experience in one or more of the following would be an advantage : developing shape and image based statistical models, shape based reconstruction, Bayesian methods, regularisation, level sets, deformable models, pattern recognition methods for image segmentation, posterior sampling.

Applicants must have, or expect to obtain, a PhD in a relevant discipline. Starting salary will be between £31,620 and £38,250 p.a.

including London Allowance. The position is initially funded until 31 October 2010.

 

Further details can be found at http://www.cs.ucl.ac.uk/vacancies.

Applications should include a statement of intended research strategy and aims. Informal enquires are welcome to Professor Simon Arridge /S.Arridge@cs.ucl.ac.uk <mailto:S.Arridge@cs.ucl.ac.uk>/

 


 Centre Administrator

Salary scale: Grade 6 (point 21 to 27) £22,765 to £27,183 per annum plus £2,781 per annum London Allowance.

This post is available for 6 months in the first instance

The Centre for Medical Image Computing at University College London is pioneering new diagnoses and treatments using the latest imaging based technologies. We are one of the world's leading groups working in this exciting area. We work very closely with our clinical colleagues both within and beyond UCL.

As we have expanded significantly we now wish to recruit a Centre Administrator to organize our activity more effectively. Applicants will be accomplished administrators and communicators with excellent prioritising, organisational, interpersonal and IT skills. Ability to work without direct supervision and flexibility to work requirements are also called for.

You will have an understanding of the various methods of raising research grant income and be able to keep up to date with current funding body procedures. You will be able to devise and implement effective procedures for frequently undertaken tasks (organising recruitment, administration of claims against grants, generating new proposals etc). You will assist the Director and other senior academic staff of the Centre and experience of maintaining diaries and appointments is desirable.

A good level of education to degree level is essential. You will be expected to attend meetings and take notes. Previous experience of work in a similar environment is desirable.

University College London is close to Euston and King's Cross mainline stations and many of London's top attractions.

For more information and to request an application pack please contact Ron Gaston (r.gaston@ucl.ac.uk

We particularly welcome applications from black and minority ethnic candidates as they are under represented within UCL at this level. This is in line with section 38 of the Race Relations Act 1976.
The closing date for applications is Saturday, 31st January 2009.

 


EPSRC funded Postdoctoral Research Associate  in Medical Physics/ Medical Image Processing (2 posts) + PhD studentships (2 posts)

Optimising reconstruction to accommodate complex system models for SPECT.Institute of Nuclear Medicine (INM) and Centre for Medical Image Computing (CMIC), University College LondonWe seek enthusiastic research-oriented scientists to join an EPSRC funded multidisciplinary project on the optimization of reconstruction algorithms and system design for single photon emission computed tomography (SPECT). a)    One scientist will work closely with CMIC and the Department of Computer Science on development of novel reconstruction algorithms that specifically exploit the use of accelerated graphics hardware.b)    One scientist will join a team at INM to explore the potential extension of physical models for SPECT that can capture multispectral information and extend on current approaches to optimizing image reconstruction.c)    Two Phd students will work closely with the above scientists on specific aspects of the project. Applicants should have an honours degree (first or upper second) in computer science, physics, engineering or related discipline. Candidates for the RA positions must also have a PhD, preferably on a topic related to medical imaging and with previous experience in medical image processing and/or solution of inverse problems. Proven capability for independent research and strong computer skills are essential.Both research groups at INM and CMIC are internationally recognised for their research output. INM is well equipped with state-of-the-art imaging equipment and is located in the new University College Hospital. CMIC is located in the main UCL campus nearby. The positions offer considerable scope for personal development. UCL is an equal opportunities employer.The RA positions are offered initially for a period of two years (extendable to three years), with starting salary dependent on previous experience in the range £28,839 - £35,469 (spine points 29-36), plus London Allowance of £2781. PhD candidates (EU and UK residents only) will receive an annual stipend of £14,600 per annum and full fees. Application packs including further details are available from R. Gaston, Centre for Medical Image Computing, The Malet Place Engineering Building, UCL, London WC1E 6BT; email r.gaston@ucl.ac.uk. Applications should be submitted to the above no later than January 15, 2009. 

 

 

 


 

UCL DEPARTMENT OF COMPUTER SCIENCE

UCL CENTRE FOR MEDICAL IMAGE COMPUTING

 

PhD and Post-Doc Positions in Image Reconstruction and Medical Image Computing

Diffuse Optical Tomography and MultiModality Image Reconstruction

The Centre for Medical Image Computing (CMIC: http://cmic.cs.ucl.ac.uk), and Department of Computer Science (UCL-CS: http://www.cs.ucl.ac.uk) at University College London (UCL: http://www.ucl.ac.uk) are offering several research opportunities at post-graduate and post-doctoral level.  CMIC combines methodological researchers from the Departments of Computer Science and Medical Physics & Bioengineering with biomedical and clinical research groups in the Faculty of Medicine and provides a uniquely exciting research environment.

The positions are available to join the pioneering group developing diffuse optical tomography (DOT) as a novel medical imaging technique. The group is part of the Vision and Imaging Sciences group of UCL Computer Science. Recently we have obtained several grants for both fundamental and applied development of this technique. The work links closely with the broader TOAST project (http://web4.cs.ucl.ac.uk/research/vis/toast/) at UCL. We are seeking talented and motivated researchers at all levels up to Senior Research Associate to join the the team for these projects

• Neuropt  (European Commission) aims to develop non-invasive imaging of brain function and disease by pulsed near infrared light and time-resolved detectors, combined with simultaneous auxiliary signals including fMRI and EEG.

FMT-XCT (European Commission) aims to develop a hybrid Fluorescence Molecular Tomography / X-ray Computed Tomography (XCT) method and system for pre-clinical imaging.

PaSOT (EPSRC) aims to develop fast, robust reconstruction methods for optical tomography incorporating approximation error and model reduction and structural and statistical priors.

All positions will involve the development of mathematical and computational tools and will require strong mathematics background and ability in programming in C/C++/Java or other high level languages. Experience with Matlab is an advantage as is knowledge of multimodality techniques, inverse problems, regularisation, design of Bayesian priors, and modelling using Finite or Boundary Element Methods. For the FMT-XCT position, experience of cone-beam <st1:street w:st="on"><st1:address w:st="on">X-Ray CT</st1:address></st1:street> reconstruction would be an advantage.

Applicants for Research Associate positions must have, or expect to obtain, a PhD in a relevant discipline.  Starting salaries are between £33,780 and £40,668 p.a. including London Allowance.  Applicants for Research Assistant must have, or expect to have, a good degree in a relevant discipline. Starting salaries are between £24,330 and £27,052 p.a. including London Allowance.  The initial appointments are funded for 2 years.

Further details and information on how to apply can be found at http://www.cs.ucl.ac.uk/vacancies.  Please pay close attention to the application instructions: applications should state for which position and level they are being made, and should include a statement of intended research strategy and aims.

 The closing date for applications is Friday, 10th October 2008

 


 

 

UCL DEPARTMENT OF COMPUTER SCIENCE

UCL CENTRE FOR MEDICAL IMAGE COMPUTING

 

Research Associate/Senior Research Associate positions in Biomedical Imaging and Medical Image Computing (2 posts)

Direct measurements of microstructure from MRI

The Centre for Medical Image Computing (CMIC: http://cmic.cs.ucl.ac.uk), Centre for Advanced Biomedical Imaging (CABI: http://www.ucl.ac.uk/cabi) and Department of Computer Science (UCL-CS: http://www.cs.ucl.ac.uk) at University College London (UCL: http://www.ucl.ac.uk) are offering two new post-doctoral research positions.  UCL is among the top-ten world-wide research institutions and has particular strengths in Biomedicine and Engineering.  UCL-CS is the most funded department in UCL’s Engineering Faculty.  CMIC combines methodological researchers from the Departments of Computer Science and Medical Physics & Bioengineering with biomedical and clinical research groups in the Faculty of Biomedicine.  CABI is a new multidisciplinary research centre that brings together experimental imaging technologies from across UCL.  The interface of these areas is a unique and exciting place to do cutting-edge research.

The project aims to develop new magnetic resonance imaging (MRI) markers for neurodegenerative diseases, such as Alzheimer’s disease and multiple sclerosis, by modelling the healthy and diseased brain.  This is an exciting opportunity to exploit state-of-the-art imaging and numerical techniques in response to critical clinical demands.  The work links closely with the broader Camino (http://www.camino.org.uk) project at UCL.

The first post is based in CMIC and UCL-CS and develops mathematical and computational modelling techniques.  The researcher will draw on the algorithmic and computational expertise in imaging science at CMIC and work closely with the imaging specialists at CABI and clinical project collaborators.  The work will make use of UCL’s Legion system, which is the largest computer cluster in the <st1:country-region w:st="on"><st1:place w:st="on">UK</st1:place></st1:country-region>.  Strong maths and programming skills are essential.  Previous experience with quantitative MRI, image processing, mathematical modelling, optimization, matlab and Java are all advantageous. (Ref: DA/106)

The second post is for an MR imaging physicist and is based at CABI and CMIC.  The researcher will develop novel pulse sequences and combined imaging protocols using the 9.4T experimental system, as well as a variety of other imaging devices.  Hands-on MR imaging skills are essential.  Experience of quantitative imaging techniques, such as diffusion MRI, relaxometry and magnetization transfer, as well as appreciation of modelling and computational imaging, are all advantageous, as is experience of pulse programming on a Varian system. (Ref: DA/107)

Applicants must have, or expect to obtain, a PhD in a relevant discipline.  Appointments will be made to the Research Associate (grade 7, £30,115 - £36,429) or Senior Research Associate (grade 8, £37,442 - £44,194) salary scales, according to qualifications, skills and experience.  The appointments are initially funded for 2 years.

Further details and information on how to apply can be found at http://www.cs.ucl.ac.uk/vacancies.  Please pay close attention to the application instructions: applications should state for which position they are being made.   Informal enquiries to Dr. Daniel Alexander (D.Alexander at cs.ucl.ac.uk) are welcome. 

The closing date for applications is Friday, 19th September 2008

 

 

 

 


 

Research Associate Vacancy in Mammographic Modelling and Image Analysis

This vacancy is now closed
 
The Centre for Medical Image Computing (CMIC) at University College London is seeking to appoint a Research Associate or Senior Research Associate in mammographic modelling and analysis.
 
The appointments will be made on the HERA pay scale at grade 7, £26,666 to £32,796 (this is a three year post) or Grade 8, £33,779 to £40,335 (this is a two year post) plus £2,572 London Allowance.
 
CMIC is a world class Centre combining excellence in medical imaging sciences with innovative computational methodology. We have recently obtained grants from the EPSRC, to develop a model-based approach to comparing breast images ( gow.epsrc.ac.uk/ViewGrant.aspx ), and from the Technology Strategy Board, to work with Dexela Ltd ( http://www.dexela.co.uk/article.aspx?id=28 ) in the development of digital breast tomosynthesis.
 
The posts will involve developing computational methods for comparing pairs of x-raymammograms, or digital breast tomograms. Radiologists make extensive use of such comparisons when searching for signs of cancer in screening mammograms. The task isintrinsically difficult, because the effects of biological variation, soft tissue deformation, and projection imaging are confounded, so that establishing point-by-point correspondence between mammograms is impossible. We plan to take a comprehensive model-based approach to making meaningful comparisons. This will draw on our previous experience of image registration together with modelling the biomechanics of tissue deformation, and the physics of image formation. To understand the effects of these different sources of variability in 2D mammograms, and develop appropriate models, we will make use of a large existing collection of 3D MR breast images, with corresponding mammograms. The application to breast imaging is of value in its own right, with the potential to make a significant contribution to more effective systems for computer-aided detection, but the methods we propose to develop are generic and capable of broad application to other applications in medical image analysis where organs are imaged whilst undergoing mechanical deformation – for example, the heart, liver, lung, stomach and colon.

The positions would suit individuals with a strong background in maths, physics, computer science or engineering and a PhD in a relevant field.
 
UCL is centrally located adjacent to London's West End and the excellent transport links of Euston, St. Pancras and Kings Cross Railway Stations.
 
The deadline for applications is 25th July 2008.
 
To apply please contact:
Ron Gaston
r.gaston@ucl.ac.uk
Centre for Medical Image Computing
The Malet Place Engineering Building
University College London
Gower Street
London
WC1E 6BT
 
Tel: 020 7679 0221
Fax 020 7679 0255

 

This vacancy is now closed

Senior Research Scientist / Research Scientist, Institute of Nuclear Medicine, University College London

 

The Institute of Nuclear Medicine seeks an enthusiastic research-oriented scientist to join the academic medical physics group, where there are several active projects concerned with the development and application of  both SPECT/CT and PET/CT.

a)     The Scientist will be primarily employed to work on a funded CRUK project which involves the use of a radiotracer to demonstrate the degree of hypoxia present in tumours prior to treatment with radiotherapy. The objective will be to optimise data analysis associated with this study, with associated development of relevant image processing tools. Development and evaluation of methodology for CT perfusion studies also has relevance to the project.

b)     The Scientist will also assist in the support of additional clinical research projects being undertaken at the INM.

 

Applicants should have an honours degree (first or upper second) in physics, engineering or related discipline. Preference will be given to candidates with a PhD on a topic related to medical imaging and with several years previous experience in Nuclear Medicine. Proven capability for independent research and strong computer skills are essential.

The Institute of Nuclear Medicine is well equipped with state-of-the-art imaging equipment including both PET/CT (x2) and SPECT/CT (x2) and is located in the new University College Hospital. The position offers considerable scope for personal development. UCL is an equal opportunities employer.

The position is offered initially for a period of two years, with starting salary dependent on previous experience in the range £33,779 - £39,159 (spine points 37-42), plus London Allowance of £2572. Applications including full CV and the names, addresses and email addresses of two professional referees should be submitted to Professor Brian Hutton, Institute of Nuclear Medicine, University College Hospital, 235 Euston Road (T-5), London NW1 2BU or by email to brian.hutton@uclh.nhs.uk to arrive no later than October 12, 2007. 

This vacancy is now closed

Postdoctoral Research Associate / Senior Research Associate in Medical Physics/ Medical Image Processing,

Institute of Nuclear Medicine, University College London

 

The Institute of Nuclear Medicine (INM) seeks an enthusiastic research-oriented scientist to join the academic medical physics group, where there are several active projects concerned with the development and application of  both SPECT/CT and PET/CT.

a)     The Scientist will be primarily employed to work on a funded CRUK project which involves evaluation of hypoxia in tumours using PET/CT. The objective will be to optimise data analysis associated with this study including registration with pathology from surgical specimens. Development and evaluation of methodology for CT perfusion studies also has relevance to the project.

b)     The Scientist will also assist in the support of additional clinical research projects being undertaken at the INM.

 

Applicants should have an honours degree (first or upper second) in computer science, physics, engineering or related discipline. Preference will be given to candidates with a PhD on a topic related to medical imaging and with previous experience in Nuclear Medicine and/or medical image processing. Proven capability for independent research and strong computer skills are essential.

The INM is well equipped with state-of-the-art imaging equipment including both PET/CT (x2) and SPECT/CT (x2) and is located in the new University College Hospital. The position offers considerable scope for personal development. UCL is an equal opportunities employer.

The position is offered initially for a period of two years, with starting salary dependent on previous experience in the range £28,289 - £39,159 (spine points 31-42), plus London Allowance of £2572. Applications including full CV and the names, addresses and email addresses of two professional referees should be submitted to Professor Brian Hutton, Institute of Nuclear Medicine, University College Hospital, 235 Euston Road (T-5), London NW1 2BU or by email to brian.hutton@uclh.nhs.uk to arrive no later than December 14, 2007.  

 

 

 

 

 

 

Research Associate

Time-resolved whole-heart cardiac imaging using highly parallel magnetic resonance

The Centre for Medical Image Computing at University College London has a vacancy for a Research Associate as part of our collaboration with researchers at the medical school of KCL. The post will involve working in a multidisciplinary team including cardiologists, physicists and engineers.

This project aims to transform the practicality of cardiac MRI by using cardiac array coils with large numbers of elements to enable time-resolved, whole-heart images from patients breathing normally. It builds upon expertise in our laboratories in undersampled MRI, parallel imaging, image registration, correction for non-rigid motion during MR imaging, respiratory motion compensation and cardiac MRI. The UCL and KCL groups are well equipped with access to a 32-channel MR system for acquisition and a 200-node computer cluster of 64-bit machines. The post provides an opportunity to develop methods that will allow more reliable scanning of patients and open up innovative applications that are currently difficult to apply clinically.

We are seeking a postdoctoral researcher who has a track record of publishing in high quality journals and conferences. Experience with one or more of the following would be an advantage: parallel magnetic resonance imaging, medical image computing, image registration, linear algebra, image reconstruction, MRI sequence development and computing using a 64-bit cluster.

The post is EPSRC funded and will be at UCL grade 7 (£26,666 - £32,796 plus £2572 London Allowance) for 30 months. If the successful applicant has not yet completed their PhD, the appointment will initially be as a Research Assistant and the salary will be on Grade 6 of the UCL salary scales. Once the PhD has been obtained the position will be re-graded to Grade 7 Research Associate. Salary will be dependent on qualifications and experience.

For further details, contact Dr David Atkinson (d.atkinson@ucl.ac.uk), see the web link below or write to Dr David Atkinson, The Centre for Medical Image Computing, 2nd floor, Malet Place Engineering Building, University College London, WC1E 6BT requesting an application pack. Closing date Friday 6th July, 2007 with interviews expected to be held on July 16thor 17th , 2007.

http://www.cs.ucl.ac.uk/staff/d.atkinson/fastcardiac

To apply, send a CV and completed UCL application form to Dr David Atkinson (d.atkinson@ucl.ac.uk).

Application form  Word | PDF.

 


Research Associate / Senior Research Associate

High Performance Computing for Medical Imaging

 

The Centre for Medical Image Computing at University College London has a vacancy for a research position in High Performance Computing. The project aims to use the power and flexibility of modern graphics cards to enable applications in medical imaging.

Gains in processing speed are increasingly coming through the use of multi-core processors rather than faster single chips. Graphics cards provide around 100 cores at relatively low cost and without the power, cooling and networking requirements of a traditional computer cluster. The newly released software libraries provide a new opportunity to develop parallel code on commodity hardware that is more readily shared and portable to future hardware. We aim to make viable a range of medical imaging applications that currently take too long for clinical application. 

The CMIC group at UCL currently has researchers working on the use of graphics cards for tissue simulation and reconstruction of MRI images from raw data. The group also has a 200 node cluster of 64-bit Linux machines and the MATLAB Distributed Computing Toolbox. The cluster is available for more memory-bound problems and testing the numerical accuracy of graphics cards applications.

We are seeking a researcher with experience in one or more of the following areas:  publishing in high quality journals and conferences, medical image computing, image registration, graphics card programming (preferably CUDA), image processing, MATLAB, and computing using a 64-bit cluster.

The post is funded by EPSRC for 18 months and is available from 1 October 2007 on either Grade 7, £26,666 - £32,796 per annum plus £2,572 London Allowance for Research Associate or Grade 8 £33,779 - £40,335 per annum plus £2,572 London Allowance per annum for Senior Research Associate. Salary will be dependent on qualifications and experience.

For further details, contact Dr David Atkinson (d.atkinson@ucl.ac.uk), see the web link below, or write to Dr David Atkinson, The Centre for Medical Image Computing, 2nd floor, Malet Place Engineering Building, University College London, WC1E 6BT requesting an application pack. Closing date Friday 6th July, 2007 with interviews expected to be held on July 16thor 17th , 2007.

To apply, send a CV and completed UCL application form to Dr David Atkinson (d.atkinson@ucl.ac.uk).

Application form  Word | PDF.

Research Associate             Job description  | Person specification

Senior Research Associate  Job description  | Person specification

EPSRC web site: grant details (note researcher named on grant will be taking a lectureship elsewhere)

 

Lecturer/Senior Lecturer in Medical Image Computing

Department of Medical Physics and Bioengineering Centre for Medical Image Computing University College London

The newly established Centre for Medical Image Computing (CMIC) is seeking a medical imaging scientist for a fixed term appointment of five years to further develop the research programme of the Centre. CMIC is a joint centre with Medical Physics and Computer Science and currently consists of 7 faculty. With 25 post doctoral researchers and 25 PhD students CMIC is one of the largest centres of its kind in Europe. It maintains a large number of close collaborative links with the UCL Hospitals and the clinical institutes of UCLH. These have recently been awarded a large Department of Health grant to set up a Biomedical Research Centre with imaging as one of the themes.

We are seeking an exceptional scientist with a proven track record in high quality publication, success in grant awards and proven ability in project supervision in this competitive area. We would expect the successful candidate to be internationally leading or with clear potential to achieve that status. The scientist will hold an excellent first degree with a relevant PhD in computation, physical sciences, engineering or mathematics applied to imaging. He/she will be expected to establish and lead a multidisciplinary research group in areas such as image guided interventions, neuroimaging or multiscale imaging for biomedical research.

The campus is compact with all the main faculty buildings and clinical facilities within 15 minutes walk. The Centre and its clinical partners have access to state-of-the-art computational and medical imaging facilities including a unique interventional MR facility and a range of clinical and experimental MR, ultrasound and optical imaging facilities. Further information on the Centre can be found at www.ucl.ac.uk/cmic .

This fixed term appointment will be made on the Lecturer or Senior Lecturer grade according to skills and experience. Lecturer - (Grade 8) £32,795 to £39,160 per annum plus £2,497 per annum London Weighting, Senior Lecturer - (Grade 9) £42,791 to £46,758 per annum plus £2,497 per annum London Weighting.

The UCL campus is situated in Bloomsbury, Central London, with excellent transport links including the new European rail terminal at St. Pancras and is close to the cultural and entertainment centres of London's West End. For informal enquiries please contact the Director of CMIC, Professor David Hawkes ( d.hawkes@ucl.ac.uk ).

The closing date for applications is Friday, 16th March 2007.

To apply for this position please contact Dominique Drai , tel 020 7679 0221 or email cmic@ucl.ac.uk and request an application form.

 

 

Post-doctoral Vacancy (Closed) University College London , CMIC (Centre for Medical Image Computing)

The Centre for Medical Image Computing at University College London has a vacancy for a post-doctoral scientist related to:

Electrophysiology Platform for Image-Guided Arrhythmia Management (EPIGRAM)

This project, which is a collaboration between UCL and KCL, aims to devise better techniques for treating patients with heart-rhythm abnormalities. It is becoming increasingly common for patients with heart-rhythm abnormalities (arrhythmias) to undergo procedures to cure them, rather than just take medicines to manage their symptoms. The procedures involve inserting plastic tubes called catheters into the heart, and then passing through those catheters specialized devices that can localize the abnormal conductive pathways in the heart muscle and ablate them. These procedures are normally carried out using x-rays to visualize the catheters, but x-rays do not clearly show the anatomy of the heart. In this project we will integrate anatomical information from other types of scan (MRI, CT) with the x-ray images collected during the procedure to provide better anatomical detail, and hence improve the success rate and reduce the likelyhood of side-effects from these procedures. We are working closely with Philips Medical Systems to develop this technology and integrate it with commercial x-ray equipment.

We are seeking a researcher with a numerate first degree, and a PhD or equivalent experience related to medical image analyis, and scientific programming experience. Experience with one or more of the following would be an advantage: image segmentation, image visualization, medical image analysis, cardiac image analysis, cardiac MRI.

For further details, contact Professor Derek Hill ( derek.hill@ucl.ac.uk ) or Ron Gaston ( R.Gaston@ucl.ac.uk ) quoting EPIGRAM in the message subject, phone Ron Gaston 020 7679 0221 or write to The Centre for Medical Image Computing, Second Floor, Malet Place Engineering Building , University College London, WC1E 6BT requesting an application pack.

 


 

Research Fellow Vacancy This position is closed.

University College London,

CMIC (Centre for Medical Image Computing)

The Centre for Medical Image Computing at University College London has a vacancy for a Research Fellow as part of our collaboration with researchers at the medical school of KCL. The post will involve working in a multidisciplinary team including cardiologists, physicists and engineers:
Time-resolved whole-heart cardiac imaging using highly parallel magnetic resonance
This project aims to transform the practicality of cardiac MRI by using cardiac array coils with large numbers of elements to enable time-resolved, whole-heart images from patients breathing normally. It builds upon expertise in our laboratories in undersampled MRI, parallel imaging, image registration, correction for non-rigid motion during MR imaging, respiratory motion compensation and cardiac MRI. The UCL and KCL groups are well equipped with access to a 32-channel MR system for acquisition and a 60-node computer cluster of 64-bit machines. The post provides an opportunity to develop methods that will allow more reliable scanning of patients and open up innovative applications that are currrently difficult to apply clinically.
We are seeking a postdoctoral researcher who has a track record of publishing in high quality journals and conferences. Experience with one or more of the following would be an advantage: parallel magnetic resonance imaging, medical image computing, image registration, linear algebra, image reconstruction, MRI sequence development and computing using a 64-bit cluster.
For further details, contact Dr David Atkinson (d.atkinson@ucl.ac.uk), see the web link below or write to Dr David Atkinson, The Centre for Medical Image Computing, 2nd floor, Malet Place Engineering Building, University College London, WC1E 6BT requesting an application pack. Closing date Friday 15th September, 2006 with interviews expected to be held on September 29th, 2006.
http://www.cs.ucl.ac.uk/staff/d.atkinson/fastcardiac

 


 

This vacancy is now closed.
The Centre for Medical Image Computing at University College London has a vacancy for a post-doctoral Research Fellow in Minimal Access Navigated Orthopaedic Surgery ” and entails building statistical shape models of bony anatomy and the surgical plan, instantiating these plans using pre-operative X-ray and registering them to patient coordinates using ultrasound with the aid of electromagnetic tracking devices. This project is joint with Depuy International and IXICO Ltd and is funded by the UK DTI and EPSRC.

 

The new Centre of Medical Image Computing is a world-class grouping combining excellence in medical imaging sciences with innovative computational methodology. Our research finds application in biomedical research and in healthcare. The research of the group focuses on detailed structural and functional analysis in neurosciences, imaging to guide interventions, image analysis in drug discovery, imaging in cardiology and imaging in oncology with a strong emphasis on e-science technologies. The Centre, which is a joint initiative between the Departments of Medical Physics and Computer Science, has very close links with the Faculty of Clinical Sciences, the Faculty of Life Sciences and associated Clinical Institutes, in particular the Institute of Neurology and the Institute of Child Health. The Centre is located in a new facilities recently opened within the UCL main Campus in Bloomsbury . UCL is a high ranking UK University covering the full range of academic disciplines. UCL occupies a central London location close to the main theatre and entertainment attractions of London 's West End , the British Museum and the British Library. The main transport hubs of Euston and King's Cross are a few minutes walk away. Please visit www.ucl.ac.uk for more information.

We are seeking a highly motivated post doctoral research scientist with a strong interest in medical imaging and expertise in scientific computing, image analysis and/or medical imaging. Applicants should have a strong publications record commensurate with their experience and should be in possession of a PhD in a relevant topic. Appointments will be fixed term for 3 years on the RA1A scale depending on experience and qualifications.

Associated with these areas of activity we are offering two PhD studentships tenable by EU Nationals with funding according to EPSRC eligibility requirements (www.epsrc.ac.uk).

For an application form for the research position or the studentships please contact Ron Gaston, Medical Physics and Bioengineering, 2nd Floor, The Malet Place Engineering Building, University College London, London WC1|E 6BT


 

Transcostal High Intensity Focused Ultrasound  (THIFU) for the Treatment of Cancer Project:

 

1 PhD studentship and 1 Postdoctoral Research Associate in Medical Image Computing

This is an exciting 5-year, EPSRC-funded project that brings together the world-class expertise of research groups working in medical ultrasound and imaging at University College London (UCL), the Institute of Cancer Research (ICR) and the University of Oxford. The overall objective of the project is to develop an integrated, high-intensity focused ultrasound (HIFU) system for clinical use, which combines mathematical modelling, image registration, organ motion modelling, and real-time monitoring techniques to enable non-invasive tumour ablation through the rib cage.

Major components of this project are the development of novel image-based methods for estimating ultrasonic tissue parameters, compensating for organ motion, automatic construction of patient-specific models of anatomy, registering diagnostic quality pre-treatment images (and a patient-specific treatment plan) to 3D ultrasound images obtained during therapy. The primary clinical application of this work will be in the treatment of liver tumours, although it is envisaged that the therapy device will be useful for treating other solid tumours in the abdomen.

Postdoctoral Research Associate in Medical Image Computing

Applications are invited for the position of Postdoctoral Research Associate in the Centre for Medical Image Computing (Department of Medical Physics and Bioengineering) to carry out research into organ motion compensation and multi-modal image registration within the THIFU project. The post is available for 5 years, with a start date between 1st April and 31st September 2008. The appointment will be made at grade 7, spine point 29 to 37, depending on experience (£26,666 to £33,779 plus £2,572 London Allowance).

All applicants for the Research Associate position should have a strong academic record, have completed a PhD in a relevant field of medical image computing, and have published research in high-quality, peer-reviewed journals or conferences. Candidates with expertise in image-based organ motion modelling and/or image-registration are particularly encouraged to apply. Since this is a highly collaborate project, applicants should also demonstrate their ability to work effectively as part of a research team.

PhD Studentship

A PhD studentship is also available in the area of 3D-ultrasound-based image registration and ultrasonic tissue parameter estimation. Candidates

Please note: Although applications for this PhD studentship are welcomed from international candidates, FUNDING IS ONLY AVAILABLE TO COVER LIVING COSTS AND UNIVERSITY TUITION FEES AT UK/EU RATES. Therefore, any offer of a studentship made to an overseas student from outside the European Union is conditional on securing addtional funding in order to pay tuition fees at the overseas rate (See http://www.ucl.ac.uk/current-students/tuition-fees/pg-fees/pg-fees2007/index.shtml for the 2007/8 UCL fee schedules). Further information on scholarships available for overseas students can be found at: http://www.ucl.ac.uk/prospective-students/scholarships/scholarships/graduate)

For further information on these positions, please contact Dr. Dean Barratt (Email: d.barratt@ucl.ac.uk; Telephone: 020 7679 0205) or Professor David Hawkes (Email: d.hawkes@ucl.ac.uk; Telephone: 020 7679 0321).

To apply for either of the positions above, please email cmic@ucl.ac.uk to obtain an application pack, stating clearly which position you are interested in.

The closing date for applications is by Friday, 22nd February 2008.

Further opportunities are available in the UCL Department of Mechanical Engineering, and at the University of Oxford and the Institute of Cancer Research.  For details of these other positions please see www.mecheng.ucl.ac.uk/jobs/2008-01/JobAddIntro.pdf Informal enquiries about the THIFU project should be made to Dr. Nader Saffari, Department of Mechanical Engineering, University College, Torrington Place, London, WC1E 7JE, UK (n.saffari@ucl.ac.uk).

 


 

Research Associate

The Centre for Medical Image Computing (CMIC) at University College London is seeking to appoint a Research Associate in a new research program aiming to assess the efficacy of new treatments for Alzheimer's disease. The position is funded for 24 months.

CMIC is a world class Centre combining excellence in medical imaging sciences with innovative computational methodology. CMC is currently expanding its capability in neuroimage analysis, especially in dementia, by working closely with the Dementia Research Centre (DRC, Prof. Nick Fox). This new post will enhance this partnership, through a funding from the Department of Trade and Industry (DTI), as part of a collaborative project between UCL (DRC and CMC) and IXICO Ltd.

Primary aims will include development of novel imaging methods for assessing treatments for Alzheimer's disease. The successful applicant will be involved in activities focused on the development and application of novel techniques for segmentation, registration and analysis of MR images to track disease-related brain changes. Novel methods will be developed for improving longitudinal imaging consistency.

The successful candidate will have a PhD in a relevant discipline, experience of neuroimage analysis and medical image visualization, and an understanding of the use of imaging biomarkers in neurodegenerative diseases such as Alzheimer's disease. This position offers the opportunity to work in a very high quality research environment, with strong clinical and industrial collaboration.

Salary range: Grade 7, from spine point 29 to 36 (£26,666 to £32,796 per annum plus £2,572 London Weighting per annum).

For further details, contact the CMIC administration office ( cmic@ucl.ac.uk ) quoting ALZHEIMERS in the message subject, phone 020 7679 0221 or write to The Centre for Medical Image Computing, Second Floor, Malet Place Engineering Building, University College London, WC1E 6BT requesting an application pack (application form, job description and person specification).

 

The closing date for applications is Thursday, 31st January 2008.

 

 

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