The Faculty of Applied Sciences is the largest faculty of TU Delft, with around 550 scientists, a support staff of 250 and 1,800 students. The faculty conducts fundamental, application-oriented research and offers scientific education at the bachelor, master and doctoral levels. The faculty is active in the fields of Life and Health Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Applied Physics.
Our mission is performing research in imaging physics with an impact on science, society and the economy by developing innovative imaging principles and revolutionary imaging instruments. We offer a stimulating academic climate for collaborative research and for educating students in the modern aspects of engineering physics and imaging sciences.
In Quantitative Imaging (QI) we invent and realise image-based measurement principles and instruments based on computational imaging in nanoscopy, (integrated) biophotonics and biomedical imaging. We develop methods and image processing algorithms to study fundamental questions in life sciences and to achieve differential diagnosis in healthcare.
This project is in the field of medical image analysis applied to prostate histology. The treatment of prostate cancer patients is a complex, multidisciplinary task. Clinical decision making can be supported by combining quantitative information from various diagnostic inputs. One of these inputs is histology information provided by a pathologist after a needle biopsy. The advent of digital pathology which is facilitated by the technology of whole slide scanning has opened the way for using computer algorithms to extract quantitative information from scanned tissue sections.
The goal of the post-doctoral project is to develop new methods for image analysis of scanned and digitised tissue sections. The resulting quantitative information is then later delivered to clinicians for incorporation into decision-making models. Specifically, the goal is to apply both classical machine learning approaches and novel deep learning methods to detect and quantify so-called cribriform and intraductal carcinoma in the scanned prostate needle biopsies.
The research will be performed at the Department of Imaging Physics in the Faculty of Applied Sciences of Delft University of Technology. The project is a collaboration with the Erasmus Medical Centre and is supported by the Dutch Technology Foundation STW, the Dutch Cancer Foundation (KWF), and Philips Research.
The candidate must hold a PhD in Computer Science, Biomedical Engineering, Physics or Electrical Engineering, with a thesis topic that is relevant to the project. In particular we are looking for candidates with experience in medical image analysis. Excellent analytical skills and a mindset geared towards cooperation with clinicians and towards application of the technology are essential.
The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers child care and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
For more information about this position, please contact Dr. Sjoerd Stallinga, phone: +31 (0)15-2783538, e-mail: S.Stallinga@tudelft.nl. To apply, please e-mail a detailed CV and publication list along with a letter of application by 30 June 2017 to Dr. Stallinga, S.Stallinga@tudelft.nl.
When applying for this position, please refer to vacancy number TNWIP16-065.
Enquiries from agencies are not appreciated.
For more information about this job, please contact Sjoerd Stallinga, Associate Professor.
T +31 (0)15-2783538
For more information about the application procedure, please contact Sjoerd Stallinga/Imaging Physics.