The Signal Processing Laboratories at EPFL (Lausanne, Switzerland) and at Heriot-Watt University (Edinburgh, UK) are recruiting outstanding postdoctoral researchers to work on Big Data Algorithms for Fourier Imaging.
The 2 laboratories are at the heart of a large research initiative on ‘Computational Imaging in Astronomy and Medicine’ (CIAM). The initiative is led by Prof. Y. Wiaux at Heriot-Watt Edinburgh, in collaboration with Profs J.-Ph. Thiran, P. Vandergheynst, and J.-P. Kneib at EPFL, Prof. M. Davies and Dr A. Jackson at the University of Edinburgh, Dr J. D. McEwen at UCL London, and Prof. O. Smirnov at Rhodes University in South Africa.
The research project aims to define new concepts for Big Data Fourier imaging, on both levels of data acquisition and design and implementation of algorithms to solve inverse imaging problems.
The developments will leverage the compressive sensing, convex/nonconvex optimization, statistical signal processing, machine learning, and high performance computing. Algorithm validation will be performed through simulation from small to large data scales and application to real data in radio-interferometric imaging in astronomy and magnetic resonance imaging in medicine.
Desired skills and experience
- Candidates will have an outstanding profile and hold, or be about to finish a PhD in electrical engineering, applied mathematics, computer science, physics, astrophysics, or a related area.
- Strong competence in signal processing is required, from inverse problems to image reconstruction algorithms. Experience in machine/deep learning, or radio-interferometric imaging, would be additional advantages.
Further details:
http://www.researchgate.net