Job Description
Job Title: Research Associate in Medical image Computing: Image guided
liver surgery.
Grade: 7
Salary range: Spine point 29-36: £28,839 - £35,469 + £2781 London
Allowance P.A.
Hours of work: The hours of work for teaching/research staff are not fixed,
but members of staff are expected to work the hours necessary for the proper
performance of the duties that come within the scope of the post.
Departmental arrangements for any required core working hours are as
agreed with the Head of Department
Duration of appointment: The posts will be funded for 18 months in the first
instance.
Department/section: Centre for Medical Image Computing, Department of
Medical Physics & Bioengineering
Main appointment site: UCL Gower Street Campus
Reports to: Prof. David Hawkes.
Responsible to: The Head of the Department of Medical Physics and
Bioengineering (Prof. Jem Hebden)
Overview of main function of the post:
The postdoctoral position is in the area of image guided liver surgery. The
projects will involve image registration, motion and soft tissue modelling. It will
also involve development of new algorithms and the assembly of a system for
trialling in the clinical environment with close involvement of clinical groups at
UCH and beyond. UCL is one of the largest centres for biomedical research in
Europe and is ranked 6th worldwide. CMIC has excellent access to state-ofthe-art clinical and pre-clinical imaging and therapeutic facilities as well as
access to one of the largest compute resources in the UK. CMIC is based in
central London at the main UCL campus, very close to the clinical facilities at
UCH Hospitals.
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Main Duties and Responsibilities:
1. To devise novel image analysis techniques which model the
deformation of the liver during minimally-invasive surgical procedures.
2. To validate all methods developed as rigorously as is reasonably
possible given the resources available by using computer simulation,
phantom, and in vivo data.
3. To develop a system for image guided surgery in a clinical
environment.
4. To undertake translational research in which algorithms for motion
modelling and soft tissue modelling are made available for clinical
evaluation by implementing them within a demonstration image-guided
system.
5. To undertake research and development according to the work-plan,
and in particular to apply scientific rigour to this activity.
6. To actively engage with clinical collaborators in order to better
understand the clinical problems which motivate the research and to
ensure that the solutions developed are clinically viable.
7. To disseminate the results of the research among project collaborators,
and among the wider scientific community via publications in peerreviewed, high-impact scientific journals and presentations at national
and international scientific conferences.
8. To attend regular meetings, workshops and training as required.
9. To help in the preparation of public presentations of the group's
research activities.
10. To actively promote the research and raise the public profile of the host
department.
11. As the duties and responsibilities may change, this job description will
be reviewed and amended in consultation with the postholder on a
regular basis.
12. The postholder will carry out any other duties within the scope, spirit
and purpose of the job as requested by the line manager or Head of
Centre/Department
13. The postholder will actively follow UCL policies including Equal
Opportunities and Race Equality policies
14. The postholder will maintain an awareness and observation of Fire and
Health & Safety Regulations.
Person Specification
Research Associate in Medical image computing: Image guided liver
surgery and colon cancer detection
CRITERIA
ESSENTIAL DESIRABLE
Education:
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Good honours degree or
equivalent in either engineering,
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physics, or computer science
A PhD in a relevant field.
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Experience:
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Two years minimum experience in
scientific programming using C/
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C++ and Matlab
Experience in application of soft
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tissue and motion modelling
A good understanding of the
principles and practical aspects of
medical image processing and
analysis
A demonstrable record of
publications in peer-reviewed
scientific journals and/or
conference proceedings
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A demonstrable record of
presentations at scientific meetings
An ability to assemble scientific
equipment for use in a clinical
environment
Aptitudes:
Good written and spoken English
Demonstrable aptitude for research
Good problem solving skills
Ability to work within a
multidisciplinary team
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