AISB opportunities Bulletin Item
Two PhD Scholarships in Medical Image Analysis at University of Copenhagen
Two Ph.D. scholarships in medical image analysis are available at the Department of Computer Science at University of Copenhagen, Denmark (DIKU). The aim of the Ph.D. projects is to develop novel image processing techniques for the analysis of lung CT images, to enable accurate measurements of lung emphysema and its progression. The scholarships are partly funded by the Programme Commission on Nanoscience, Nanotechnology, Biotechnology and IT (NABIIT) under the Danish Council for Strategic Research as part of a collaborative project with several Ph.D. students at DIKU, Copenhagen University Hospital and AstraZeneca R&D in Lund, Sweden. Ph.D. students may focus their research on either image registration for disease monitoring or on disease characterization using e.g. image texture measures. More information on the project is available at http://www.itu.dk/people/marleen/phdprojects.htm Candidates should have a M.Sc. degree in mathematics, physics, statistics, computer science, engineering, or similar, with a solid theoretical background. Experience with image analysis techniques and good programming skills are an advantage. The scholarships for the Ph.D. programmes are subject to academic approval. The salary and appointment terms are according to the current agreement for Ph.D. students. The appointment is for a period of 3 years and should lead to a dissertation. The positions are available from 1 March 2007. Further information is available from Marleen de Bruijne DIKU Universitetsparken 1 2100 Copenhagen, Denmark e-mail: firstname.lastname@example.org Applications should be submitted to Marleen de Bruijne by email or at the address given above. The application must include a letter of motivation, curriculum vitae, documentation (including marks) of completed degrees, a 2-3 page description of your proposed Ph.D. studies, and copies of theses or up to 3 selected publications. All interested candidates irrespective of age, gender, race, religion or ethnic background are invited to apply. The application must be submitted to DIKU and be received no later than Wednesday 31 January 2007 at 12.00 noon CET.