[NotiAMCA] Pos-doc positions in computational imaging and modelling

[Victorio Sonzogni]

Open post-doctoral positions in computational imaging and modelling

Computational Imaging Lab - Pompeu Fabra University - Barcelona - Spain


The Computational Imaging Lab (www.cilab.upf.edu) at the Pompeu Fabra 
University in Barcelona is team focused on algorithmic and applied research 
in the area of computer vision and computational modelling. The lab is 
composed of 20 members working in different domains of medical image 
segmentation, statistical shape modelling and analysis, computational 
geometry, pattern recognition and image-based and personalised computational 
mechanics.
Currently, the lab is engaged in or about to start several exciting projects 
aiming at personalised physical modelling and simulation of organs where 
medical imaging, computational mechanics and biology play an essential role. 
Our aim is to use medical imaging technologies with a combination of 
computational imaging, modelling and simulation tools to develop 
personalised tools for risk assessment and personalised treatment design. In 
addition, by collaborating with several teams around Europe and the US, our 
goal is to integrate all available information of a patient to personalised 
diagnosis and treatment.
In this context, the lab has been recently awarded and coordinates an 
Integrated Project funded by the European Commission, which aims at 
personalized and integrative biomedical informatics in the cerebrovascular 
domain. Additionally, the lab is also engaged in a national technology 
platform aiming at cardiac modelling and simulation for patient selection 
and interventional planning in cardiac resynchronization therapy.

The CILab is seeking proactive and highly talented young post-doctoral 
researchers with proven track record of publications in leading 
international journals and conferences. In addition, a number of scientific 
developer and application engineer positions are also available in similar 
areas. Candidates should be highly creative, have the ability to carry out 
independent research but work embedded in a research team, and should be 
endowed with excellent communication and leadership skills so as to 
collaborate with other peers. The ability to work in a multidisciplinary 
team and be able to interact with other disciplines is essential.
All applicants should have a strong background in mathematics and physics, 
algorithmics and programming [preferably in C++]. Proficiency in spoken and 
written English is compulsory.

Candidates with expertise in the following areas are sought:
          1/ computational imaging: elastic multimodal image registration, 
3D-2D image registration, model-based image segmentation, 3D vision and 
reconstruction from projections, computational geometry, information 
theoretic approaches to computer vision
          2/ medical imaging: image-based non-invasive flow measurement and 
elastography
          3/ biomedical engineering: clinical tool specification and quality 
assurance, evaluation of tools and methods in clinical environments, 
coordination of applied research and technology transfer to industry and 
clinical centres
          4/ computational modelling and simulation: electromechanical 
cardiac modelling, computational fluid dynamics, computational biology, 
biophysics, grid computing and numerical computing, multi-scale and 
multi-formalism modelling.

Starting dates will be prior to July 2006; positions will be for a period of 
3 to 4 years. No positions will be considered for less than 2 years. 
Salaries are negotiable depending upon qualifications and experience of the 
applicants and compliant with Spanish salaries in academic institutions. EU 
citizens will be given priority due to labour regulations and work permit 
constraints.
Interested candidates should submit a letter of purpose indicating your area 
of interest, salary expectations, CV including contact details of 3 
referees, and sample publications to Dr. Alejandro Frangi 
[alejandro.frangi en upf.edu], at your earliest convenience.