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The Department of Medical Epidemiology and Biostatistics at Karolinska Institutet invites applications for Post doc position in statistical image analysis Aspects of statistical image analysis applied to digital mammograms Brief description of Project The successful candidate is expected to conduct research on the analysis of digital mammography images. The general aim of this project is to investigate in detail the relationship between breast tissue density and breast cancer risk and prognosis, in a population-based study of breast cancer, as well as in a mammography screening based study of breast cancer. Successful candidate will have ample opportunities to work on both methodological as well as applied collaborative projects with medical researchers. The project is funded through the Marit and Hans Rausing’s Initiative against Breast cancer. Qualifications Applicants should have a PhD degree in a relevant branch of statistical science (statistics, biostatistics, bioengineering, computer engineering or related discipline) and have strong interest in medical and biological problems. Previous experience in image analysis or computational methods is an advantage. Description of the Department and working group The Department of Medical Epidemiology and Biostatistics presently employ approximately 250 staff with 15 full professors and over 40 graduate students. The department is one of the biggest departments of epidemiology in Europe. Unique resources and prerequisites – such as the Swedish Twin Registry, several large prospective studies, ongoing nation-wide case-control studies, large nation-wide databases including the Cancer Registry and the In-patient discharge registry, record linkage capabilities and access to clinical data as well as biological material – are effectively explored at the department. Further information can be found at: www.ki.se/meb The biostatistics group comprises 3 professors, 3 senior lecturers, 5 PhD-level statisticians, 4 masters-level statisticians, and 7 doctoral students. The group is involved in a wide variety of research projects, including population-based cohort and case-control studies, twin and family studies, survival analyses, predictive modeling, genetic epidemiology and bioinformatics. Contact: For further information regarding this positions, please contact University lecturer Keith Humphreys, e-mail [log in to unmask] Professor Per Hall, e-mail [log in to unmask] or Professor Kamila Czene, e-mail [log in to unmask] Union representatives: Camilla Lagerberg (SACO), e-mail [log in to unmask] Tel: 08-524 823 75, Ann Almqvist (OFR/ST-AT), e-mail [log in to unmask] Tel: 08-524 861 99 Gunnar Stenberg (SEKO), e-mail [log in to unmask] Tel: 08-524 880 75. Please send your application, marked with reference number 2353/2011, to [log in to unmask] or Karolinska Institutet, Åsa Misic, Box 281, 171 77 Stockholm, Sweden. Applicants should send a cover letter, curriculum vitae and statement of research interest which should reach us by no later than 15th of May 2011. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.