Three open PhD positions + 1 Postdoc in Informatics at the University of Bergen (Norway)

Best wishes for the new year from the team!

The Informatics department at the University of Bergen, Norway, currently has four interesting job opportunities. They are looking to hire three PhDs and a Postdoc. I can tell you firsthand now, that this is a really awesome place to work with a lot of awesome people :)! The exact topic of the PhDs will be decided on with the advisors, but biomedical visualization, visual analytics and visual computing are among the list of possible topics. More information on the PhD job openings is avalaible here, while you can read more about the Postdoc job opening here. The application deadline will be the 1st of March 2017, so there is ample time to prepare your application. Be sure to indicate your (biomedical) visualization research preferences in there as well, and apply directly via the Jobbnorge links above.

VAnPIRe PostDoc position still open at TU Delft (The Netherlands)

Previously, we reported on two open positions in the context of the VAnPIRe, Visual Analysis in Population Imaging Research, project. The PhD position has since been filled, but the PostDoc is still open. More information about the position can be found here. The closing date is at the end of the month, so apply now if you’re interested!

Open PhD and PostDoc positions: Visual Analysis in Population Imaging Research (VAnPIRe) @TUDelft (The Netherlands)

The TU Delft in the Netherlands currently has two open medvis research positions: there is room for a new PhD and a PostDoc. The PhD/PostDoc position will be part of the Population Imaging Genetics project (stw-imagene) that involves linking observations on the human genome to observations in imaging data. Novel, genome-wide sequencing approaches combined with large-scale population imaging studies open up unprecedented possibilities for discovering the cause of a disease and relating it to its anatomical and functional consequences.

The exact nature of the features (markers) that have the highest correlation with the clinical outcomes under study is by definition hard to predict. Due to the magnitude and heterogeneity of the data, as well as the nonspecific nature of the features that are being sought, this is a complex and laborious process.
We envision a new class of visual analysis techniques that enable the structured and interactive visual exploration of population imaging data. With these techniques, patterns and high-potential hypotheses can be flexibly derived from population imaging data, aiding both the derivation of insight and the search for predictive data features.

The main aim of this project is to develop and evaluate a new, interactive visual analysis approach that enables the extraction of patterns and high-potential hypotheses from the irregular and complex population imaging research data.
New insights into the mechanisms behind the clinical outcome of a population can be extracted by augmenting the human visual system with interactive visualization and coupled feature extraction techniques.

If you’d like to become my coworker, a VAnPIRe and/or work on this cool project, you can apply via the TUDelft vacancy pages: PhD – PostDoc

Postdoc position medical image analysis and visualization available in London (Canada)

Another day, another job opportunity! This time the Digital Imaging Group of London (the Canada version) has a postdoctoral fellowship available in medical image analysis and visualization in collaboration with GE Healthcare. You’d be doing cutting-edge research with researchers from GE Healthcare, Western University, Robarts Research Institute, Lawson Health Research Institute and the London Health Sciences Centre. The work also involves direct interaction with radiologists.
More information about this excellent opportunity can be found here.