Postdoc position in statistical image analysis

The biostatistics group comprises 4 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.

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. The project is funded through the Swedish Research Council Linné centre for Cancer Risk Prediction. The position is for 2 years, with possibility of extension.

Entry requirements:
A person is eligible for a position as postdoctoral research fellow if he or she has obtained a PhD no more than seven years before the last date of employment as postdoc.

Application process:
An employment application must contain the following documents in English or Swedish:

• A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
• A complete list of publications
• A summary of current work (no more than one page)
• Verifications for crediting of illness, military service, work for labour unions or student organisations, parental leave or similar circumstances
• Verification from the thesis defence committee or the equivalent (only if the thesis defence is scheduled within three months after the application deadline)

DESIRED SKILLS AND EXPERIENCE

Applicants should have a PhD degree in image analysis or a relevant branch of statistical science (Medical Image processing, statistics, bioengineering, computer engineering or related discipline) and have strong interest in medical and biological problems. Successful candidates will have ample opportunities to work on both methodological as well as applied collaborative projects with medical researchers.

Apply here: https://ki.mynetworkglobal.com/en/what:job/jobID:47379/where:55/