Post-Doctoral Position in PET/CT Imaging

The Johns Hopkins University School of Medicine, Department of Radiology, Division of Nuclear Medicine is seeking a post-doctoral fellow, to start February 1st, 2014. The research will take place in the Tomographic Image Reconstruction & Analysis Laboratory of Dr. Rahmim, in collaboration with clinical research and imaging experts and an industrial partner, focusing on the development and validation of novel PET imaging techniques for translation into routine clinical imaging. In particular, the post-doctoral fellow will develop innovative oncologic PET/CT image reconstruction, tracer kinetic modeling and tumor quantification algorithms and applications, including simulations and task-based image assessment in the context of dynamic whole-body PET/CT imaging.


Requirements: Qualified candidates will have a Ph.D. in physics, medical 
physics, biomedical or electrical engineering, or a related field, and 
established experience in the field of imaging. The candidate should have a 
strong interest and commitment to research. Creativity with an aim towards 
independent research is highly emphasized. Prior experience in image 
reconstruction, algorithm development, simulations and/or kinetic tracer 
modeling is highly desirable. Knowledge of C programming and familiarity 
with numerical methods is also preferred. 
Application: Interested candidates should send a CV, statement of 
research interests and the contacts of three references to Dr. Arman 
Rahmim ( Review of applications will begin 
immediately and continue until the position is filled.
The Johns Hopkins University is an Equal Opportunity Employer.

No.92 of IFMBE News

Dear Members, 

IFMBE News published its No.92 as planned in this summer. Attached please find the latest IFMBE_News_No.92, also you may download it at the IFMBE website.

No.92 of IFMBE News

PhD student position in computer vision / medicalimage computing


London, July 4, 2013 

The Centre for Medical Image Computing is seeking a PhD student for a challenging project in the field of combining optical skin surface reconstruction and soft tissue modelling. The aim of the project is to develop and implement new methods for reliably acquiring accurate 3D models of the skin by using cameras and sensors such as the Kinect and combining them with volumetric deformable models constructed from MRI. Our application is oncoplastic surgery of the breast and this is part of the EU project “PICTURE” with partners in Germany, Portugal and the Netherlands.

 What we can offer: An exciting 3-4 year PhD programme within a dynamic environment in the heart of London. Competitive scholarship funding. Opportunities for internships and visits to other laboratories as part of an EU funded project. Close collaboration with clinical partners and translational routes for your research. Expert supervision within an informal and friendly environment aiming at scientific excellence.

Who we are: University College London (UCL) is a major university of international reputation and one of the largest centres of biomedical research in Europe. The UCL Centre for Medical Image Computing (CMIC) is a leading academic unit linked with the Departments of Computer Science and Medical Physics at UCL. We pursue innovative computational theory, methodology and applications as well as new devices to create clinically transferrable research. We have strong ties to clinical partners and hospitals in the London area.

The required candidate: You should hold an MSc or equivalent in physics, computer science, engineering or similar discipline. Experience with medical imaging or computer vision with a programming background in C/C++ and Matlab will be considered an advantage. Other relevant experience in robotics and electronics will also be favourable. You must have good interpersonal skills and thrive in an informal and dynamic atmosphere.

You must satisfy residency requirements for EU funding.

Starting date will be Sept 2013.


Please send applications to Dan Stoyanov <> and cc John Hipwell <>and David Hawkes <>

Centre for Medical Image Computing

University College London