Internship at Siemens Corporate Research, Princeton, NJ, USA

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December 27, 2011

Siemens Corporate Research (SCR) in Princeton, New Jersey, USA, has an immediate 6-12 month internship opening in the areas of medical image analysis and computer vision. Our focus is to exploit large collections of data to build robust organ segmentation applications. Our interns have an opportunity to test their knowledge in a challenging problem-solving environment. They are encouraged to think out of the box, innovate and find solutions to real-life problems.  

Candidates must be proficient in C++. Project experience and interest in computer vision, pattern recognition, image segmentation, image processing, and software engineering is a plus. Students all over the world are welcome to apply and join our dynamic international group of interns.   

SCR is one of the world's premier research labs for computer vision, medical imaging, and applied machine learning. SCR is located in Princeton, USA, and provides a stimulating environment for highly talented and self-motivated researchers. SCR excels in transferring academic research into innovative products, and works in close collaboration with clinical partners. The lab has more than 250 researchers and over 100 students involved in hundreds of University, Clinical and Government collaborations. SCR is part of Siemens Corporate Technology, a division comprising 2500+ research scientists in Princeton, Berkeley, Erlangen, Munich, Berlin, Tokyo, Beijing, Shanghai, Bangalore, St. Petersburg and Moscow. Siemens is an Equal Opportunity Employer encouraging diversity in the workplace.

Please send your resume to Dr. Michal Sofka:
To:
Subject: [intern] YourFirstName YourLastName
Indicate availability dates in the message body. Starting and ending dates are negotiable.

Relevant Publications

Hierarchical Parsing and Semantic Navigation of Full Body CT Data
Sascha Seifert, Adrian Barbu, S. Kevin Zhou, David Liu, Johannes Feulner, Martin Huber, Michael Suehling, Alexander Cavallaro and Dorin Comaniciu
Proceedings of the SPIE Medical Imaging Lake Buena Vista, FL, Feb 2009.
[pdf] [bibtex]

Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network
Michal Sofka, Jingdan Zhang, S.Kevin Zhou, and Dorin Comaniciu
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, USA, 2010.
[pdf] [bibtex]

Integrated Detection Network (IDN) for Pose and Boundary Estimation in Medical Images
Michal Sofka, Kristof Ralovich, Neil Birkbeck, Jingdan Zhang, and S.Kevin Zhou
Proceedings of the 8th International Symposium on Biomedical Imaging (ISBI 2011), Chicago, IL, USA, 30 Mar-2 Apr 2011.
[pdf] [bibtex]

Progressive Data Transmission for Hierarchical Detection in a Cloud
Michal Sofka, Kristof Ralovich, Jingdan Zhang, S.Kevin Zhou, and Dorin Comaniciu
Proceedings of the 2nd International Workshop on High-Performance Medical Image Computing for Image-Assisted Clinical Intervention and Decision-Making (HP-MICCAI 2010), Bejing, China, 22 Sep 2010.
[pdf] [bibtex]