PhD student - artificial intelligence in oncological imaging
start January 2019 or by arrangement
Your main tasks
- Develop a processing pipeline for advanced clinical neuroimaging data to improve brain tumors' pathophysiological investigations and treatment monitoring
- Implement a clinically useable software solution to extract images features and findings from existing clinical archives
- Improve the MRI diagnostic value by including structured expert reading into the processing algorithms, as well as cutting-edge imaging technologies
- Collaborate with the clinical colleagues to parametrize tumors' pathophysiology and challenge it by machine-learning tools developed in cooperation between the ETH, the UZH, and other USZ Departments
- Publish your results in high-level peer-reviewed journals
- A keen interest in cutting-edge imaging and processing technologies and interest in both theoretical and practical work are a premise
- Master of Science degree in computer science, physics, electrical or biomedical engineering, or neuroscience with first class grades
- Profound programming skills (Matlab, Python, C++)
- Prior experience in database management, image processing or machine learning is required (documented in a Master thesis). Experience with statistical analysis (R, SPSS) would be an asset but is not essential
- An innovative spirit and team player skills
Our offerThe University Hospital Zurich and the ETH Zürich offer an interdisciplinary scientific environment, an international and world-leading research setting with first class infrastructure including full range of clinical and experimental imaging and processing technologies as well as an excellent network of scientific and industrial partners.
The advertised project is funded by the Clinical Research Priority Program "Artificial Intelligence in Oncological Imaging" of the Medical Faculty of the University of Zürich (UZH).The position is fully funded for 3 years and paid according to UZH standards. The successful candidate will join the PhD program of the Zurich Neuroscience Centre (admission via track II: neuroscience.uzh.ch). We offer and support equal opportunities. Mehr
Your applicationPlease send your application to PD Dr. Lars Michels (Scientific supervisor) and cc'd to Prof. Dr. med. Christoph Stippich.
Subject heading: "PhD position in neuroscience of Artificial Intelligence in oncological imaging"
Deadline: Preferably 30.11.2018. Applications will be considered until the position is filled.
Send application as single PDF file
Please include all documents in a single PDF file in the following order: CV, contact information of two references, a brief statement describing your personal qualifications and research interests, academic transcripts.
Über das USZThe Department of Neuroradiology is an international reference center for diagnostic and interventional Neuroradiology. Our research is focused on four major medical fields: neurooncology, neurovascular diseases, neurodegeneration and neuroimmunology as well as on neuroimaging methodology (MR-physics, multimodal imaging (e.g. EEG-fMRI), and data processing).
We offer a PhD-position within our research team in advanced magnetic resonance imaging (MRI) on brain tumors, specifically data processing and evaluation. Novel data-evaluation strategies need to be developed and implemented for clinical research applications. This will require close collaboration with neuroradiologists, neuroimaging researchers and collaborators in neurology, neurooncology, radiology and at the ETH (machine learning, artificial intelligence).