Mark Plumbley just sent me the following:
We think that these PhD opportunities might be of interest to people on Nuit Blanche. They are part of a new "MacSeNet" EU-funded Marie Sklodowska-Curie Innovative Training Network in "Machine Sensing" (including Machine Learning, Sparse Representations and Compressed Sensing). They also come with a competitive salary compared to regular PhD scholarships, so might also be of interest to young researchers who had not otherwise thought of taking a PhD.
18 Early Stage Researchers (ESRs) in Machine Sensing (Machine Learning, Sparse Representations and Compressed Sensing)
EU H2020 MSCA Innovative Training Network (ITN) "MacSeNet: Machine Sensing Training Network" (H2020-MSCA-ITN-2014 642685)
Project Website: http://macsenet.eu/
Applications are invited to a number of Early Stage Researcher (ESR) positions as part of the new EU-funded Marie Sklodowska-Curie Actions (MSCA) Innovative Training Network (ITN) "MacSeNet: Machine Sensing Training Network".
The MacSeNet ITN (http://macsenet.eu/) brings together leading academic and industry groups to train a new generation of creative, entrepreneurial and innovative early stage researchers (ESRs) in the research area of measurement and estimation of signals using knowledge or data about the underlying structure. With its combination of ideas from machine learning and sensing, we refer to this research topic as "Machine Sensing". We will apply these new methods to problems such as: advanced brain imaging; inverse imaging problems; audio and music signals; and non-traditional signals such as signals on graphs.
Early Stage Researcher (ESR) positions allow the researcher to work towards a PhD, for a duration of 36 months. ESRs should be within four years of the diploma granting them access to doctorate studies at the time of recruitment, and must not have spent more than 12 months in the host country in the 3 years prior to starting. MSCA ESRs are paid a competitive salary which is adjusted for their host country.
Each of the ESR posts being recruited across MacSeNet has its own application process and closing date. The full list of Early Stage Researcher (ESR) Positions is as follows:
* ESR1: Robust unsupervised learning (INRIA/CNRS/ENS Paris, France)
* ESR2: Non-linear adaptive sensing/learning (INRIA/CNRS/ENS Paris, France)
* ESR3: Beyond sparse representations: efficient structured representations (University of Edinburgh, UK)
* ESR4: Next generation compressed sensing techniques for quantitative MRI (University of Edinburgh, UK)
* ESR5: Next generation compressed sensing techniques for a fast and data-driven reconstruction of multi-contrast MRI (Technical University Munich, Germany)
* ESR6: Next generation compressed sensing techniques for the fast and dynamic MRI (Technical University Munich, Germany)
* ESR7: Blind source separation of functional dynamic MRI signals via distributed dictionary learning (University of Athens/Computer Technology Institute, Athens, Greece)
* ESR8: Functional neuroimaging data characterisation via tensor representations (University of Athens/Computer Technology Institute, Athens, Greece)
* ESR9: Phase imaging via sparse coding in the complex domain (Instituto de Telecomunicações, Portugal)
* ESR10: Patch-based, non-local, and dictionary-based methods for blind image deblurring (Instituto de Telecomunicações, Portugal)
* ESR11: Sparse coding in the complex domain for phase retrieval and lensless coherent diffractive imaging (Tampere University of Technology, Finland)
* ESR12: Non-local HOSVD methods for denoising and super-resolution imaging (Noiseless Imaging, Finland)
* ESR13: Audio Restoration and Inpainting (University of Surrey, UK)
* ESR14: Sound Scene Analysis (University of Surrey, UK)
* ESR15: Music source separation beyond sparse decomposition (Fraunhofer IDMT, Germany)
* ESR16**: Sparse models and algorithms for data on large graphs (EPFL,Switzerland)
* ESR17**: Towards efficient processing of 4D point clouds (EPFL,Switzerland)
* ESR18**: Big data analysis of time series of origin-destination (OD) matrices (VisioSafe, Switzerland)
** - ESRS 16,17,18 will be funded by Swiss national funding
For more details of all ESR positions, and information on how to apply, see http://macsenet.eu/#1
Prof Mark D Plumbley
Professor of Signal Processing
Centre for Vision, Speech and Signal Processing (CVSSP)
University of Surrey
Guildford, Surrey, GU2 7XH, UK
Thanks Mark !
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