Postdoc position in statistical image analysis

Karolinska Institutet, MEB / Matematikerjobb / Solna
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The Department of Medical Epidemiology and Biostatistics is among the largest departments of epidemiology in Europe with special focus on increasing our knowledge of the aetiology for different diseases. Our department consists of researchers, doctoral students, biostatisticians, data collectors, database administrators and administrative personnel, in total approximately some 250 staff. The department is situated in campus Solna. Further information can be found at ki.se/meb

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. 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.

Qualifications
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.

Description of the working group
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.

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)
The application is to be submitted through the MyNetwork recruitment system.

Karolinska Institutet är ett av världens ledande medicinska universitet. I Sverige står Karolinska Institutet för drygt 40 procent av den medicinska akademiska forskningen och har det största utbudet av medicinska utbildningar. Sedan 1901 utser Nobelförsamlingen vid Karolinska Institutet mottagare av Nobelpriset i fysiologi eller medicin.

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Publiceringsdatum
2014-12-01

Arbetstider och omfattning
100% Visstidsanställning

Ersättning
Monthly

Så ansöker du
Sista dag att ansöka är 2015-01-10
Ange följande referens när du ansöker: 2-3691/2014
Klicka på denna länk för att göra din ansökan

Kontakt
University lecturer Keith Humphreys, e-mail Keith.Humphreys@ki.se
Professor Per Hall, e-mail Per.Hall@ki.se
Professor Kamila Czene, e-mail Kamila.Czene@ki.se

Facklig kontakt
Ulrika Zagai, SACO 08--524 871 84, ulrika.zagai@ki.se
Ann Almqvist, OFR 08-524 861 99
Gunnar Stenberg, SEKO 08-524 880 75

Företag
Karolinska Institutet, MEB

Adress
Karolinska Institutet, MEB
Karolinska Institutet, Box 281
17177 Stockholm

Kontorsadress
Karolinska Institutet, Box 281

Jobbnummer
2085888

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