PhD position in Biomedical Image Processing
Faculty/department Electrical Engineering, Mathematics and Computer Science
Level PhD student
Maximum employment Maximum of 38 hours per week (1 FTE)
Duration of contract One year initially with prospect of a 3 year extension
Engineering, Mathematics and Computer Science
The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known world wide for its high academic quality and social relevance of its research programs. The faculty’s excellent facilities accentuate its international position in teaching and research. The faculty offers an interdisciplinary setting for its 500 employees, 350 PhD students and 1700 undergraduates. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.
The Department of Mediamatics focuses on media and knowledge processing. The department consists of four groups: 1) Pattern Recognition and Bioinformatics Group: Processing, analysis, and interpretation of biological and biomedical data, Medical Image Processing, Computer Vision and Pattern Recognition 2) Multimedia Signal Processing Group: Processing, analysis, and interpretation of multimedia signals, Security and Privacy 3) Computer Graphics: Modelling, representation and visualization of 3D objects and scientific data; 4) Human Computer Interaction: Design, analysis, implementation and validation of human-machine systems and the application of AI techniques to enhance the interaction. Four important application domains are telecommunications, consumer electronics, industrial automation, and life/health sciences.
Job description
The PRB group actively participates in the Medical Delta consortium, a collaboration between TU Delft and two University Medical Center: Erasmus Medical Center and Leiden University Medical Center. Goal of medical delta is the development of novel technology that enhances health care in a broad sense. Within the Computer Vision and Pattern Recognition lab, there is a vacancy for a PhD student who will conduct research on the intersection between the fields of bio-informatics and bio-imaging. Bio informatics explores mechanisms of gene expression, metabolism, reaction, etc., within the cell, whereas bio-imaging increasingly enables imaging gene expression.
The goal of this project is to investigate methods to link gene expression data to biomedical imaging data. This may involve for instance linking anatomy derived in MRI images to gene expression atlases (phenotyping transgenic mice), or to protein expression in spectroscopy or microscopic data. Also, techniques to correlate features in multi-spectral imaging series form a part of this research project. Finally, methods to compare phenotypes in a group based on genetic differences are of interest. We are looking for a PhD student who can contribute to this research at the intersection between bioinformatics and bioimaging. She/he is expected to cooperate intensively with imaging researchers at the Leiden University Medical Center, as well as with computer vision and bioinformatics researchers at the PRB group.
Requirements
The candidate should have a MSc degree in Computer Science or a related field and a background in digital image processing, and have affinity for biomedical research. Experience in biomedical image analysis and bio-informatics is an asset. Additionally, the candidate should have excellent spoken and written communication skills and programming skills (C, C++, Matlab).
Conditions of employment
This position has a temporary employment basis of three years. TU Delft offers an attractive benefits package, including a flexible work week, free high-speed Internet access from home, and the option of assembling a customized compensation and benefits package (the ‘IKA’). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
Information and application
For more information about this position, please contact Dr. E. A. Hendriks, phone: +31 (0)15-2786269, e-mail: e.a.hendriks@tudelft.nl. To apply, please e-mail a detailed CV along with a letter of application by 17 April, 2009 to Mrs. J. Eddini, peno-ewi@tudelft.nl.
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