Informatik Mathematik Physik (Doktorarbeit / Diplomarbeit): Mikroskopische Bildanalyse (Image Analysis of Live Cell Microscopy Images)

The research group Biomedical Computer Vision (BMCV) belongs both to the University of Heidelberg (IPMB, Dept. Bioinformatics & Functional Genomics) and the German Cancer Research Center (DKFZ), and is located at the newly established BioQuant Center. The BMCV group develops methods and algorithms for computer-based analysis of biological and medical images, in particular, cell microscopy images and medical tomographic images. Application examples are the quantification of live cell images, the registration of biomedical images, and the segmentation of vessels.

Currently, the BMCV group offers a PhD position in Microscopic Image Analysis. The focus is on the quantification of live cell microscopy images by a combination of segmentation and tracking methods, and the work is carried out as a joint project with the bacterial signaling networks group (Ilka Bischofs).

The successful candidate must have a Masters (Diploma) degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline. We expect good mathematical and programming skills (e.g., in C, C++, Java) as well as experience in Image Analysis. Knowledge in Biology is an advantage. A high level of self-motivation and the ability to work in a team are essential for this position.

Please send your application per E-Mail to:
Dr. Karl Rohr
University of Heidelberg, BioQuant, IPMB,
and German Cancer Research Center (DKFZ)
Dept. Bioinformatics and Functional Genomics
Biomedical Computer Vision Group, BQ 20
Im Neuenheimer Feld 267
69120 Heidelberg, Germany

Email:  k.rohr (at) dkfz.de
http://www.bioquant.uni-heidelberg.de/bmcv

Anfangsdatum: 15. September 2011

geschätzte Dauer: 3 Jahre

Bezahlung: TVL 13/2

Veröffentlichungen:
Godinez WJ, Lampe M, Wörz S, Müller B, Eils R, Rohr K. (2009) Deterministic and Probabilistic Approaches for Tracking Virus Particles in Time-lapse Fluorescence Microscopy Image Sequences, Medical Image Analysis 13: 325-342

Harder N, Mora-Bermúdez F, Godinez WJ, A. Wünsche, Eils R, Ellenberg J, and Rohr K. (2009) Automatic Analysis of Dividing Cells in Live Cell Movies to Detect Mitotic Delays and Correlate Phenotypes in Time, Genome Research 19:11, 2113-2124

Matula P, Kumar A, Wörz I, Erfle H, Bartenschlager R, Eils R, Rohr K. (2009). Single-cell-based image analysis of high-throughput cell array screens for quantification of viral infection. Cytometry A, 75A:309-318

Yang S, Köhler D, Teller K, Cremer T, Baccon P.L, Heard E, Eils R, and Rohr K. (2008) Non-rigid registration of 3D multi-channel microscopy images of cell nuclei, IEEE Transactions on Image Processing 17:4 (April 2008) 493-499

Homepage: http://www.bioquant.uni-heidelberg.de/bmcv