Advanced statistics and machine learning for large-scale and multi-study cardiovascular data analytics

Application deadline:

We offer an exciting position at Universitat Pompeu Fabra, Barcelona, as part of the euCanSHare H2020 project for developing algorithms and tools for large-scale and multi-study image/radiomics and integrative quantification in cardiology.

We are thus seeking candidates with a PhD in an area pertinent to the project and experience in statistics, machine learning, data integration, radiomics, cardiac imaging, software development, programming using C++/Python, and/or bioinformatics.

The successful candidate is expected to be able to organise his/her work with minimal supervision and prioritise work to meet deadlines of the project. Due to multiple collaborations within the euCanSHare project with consortium partners from Europe and Canada, advanced oral and writing English knowledge are required.