A European Marie Curie Initial Training Network (ITN-ETN)
The WAVES project is a collaborative research and training network comprising twelve leading international universities, research centers and three industrial partners, gathering participants with expertise in the interdisciplinary field of acoustic/elastic wave propagation and wave-based imaging and monitoring.
WAVES is funded by the European Union under the "H2020 - MSCA - ITN - 2014" program for a duration of 4 years (Jan. 2015 - Dec. 2018).
News & Events
01.05.2018 - 01.05.2018
Workshop 5 will be held at the ETH in Zürich and will focus on the potential of 3D printing for scale-model seismology (e.g. complex model and physical analogues generation). This workshop will help develop the ESRs collaborative problem solving skills and train them to think of long-term applications.
25.09.2017 - 29.09.2017
Three short courses will be combined within this week for time and travel efficiency. The following topics will be addressed: Medical imaging and therapeutic application of ultrasounds (INSERM), Seismic marine acquisition and processing (NTNU) & Seismo-acoustic waves in the earth, oceans and atmosphere (DUT)
05.06.2017 - 09.06.2017
Workshop 4, “Passive Imaging and monitoring in wave physics: from seismology to ultrasound”, organized by CNRS, will be held in Cargese (Corsica), on June 5th-9th, 2017.
Noise correlation or interferometry is an innovative technique which allows, for examples, to implement seismic images in the absence of seismic events (no earthquakes or explosions!): the structure of complex media is evaluated by...
29.05.2017 - 02.06.2017
3 short-courses in Marseille
The combination of theory and laboratory is one of the main strengths of the WAVES training program: the combination of courses 6 and 7 will allow all ESRs to develop an advanced competence in both aspects of research. Course 11 deals with a new approach to data analysis, relevant both for research and dissemination. "Sonification" is a set of techniques...
26.03.2017 - 29.03.2017
The 3rd WAVES Workshop (26-29/03/2017, Cambridge, UK) will train the participants on research in the industry, including career development skills (management, entrepreneuship, IPR issues etc.), as well as science themes that are particularly relevant to industrial applictions, e.g. large-scale data acquisition, geophysical imaging of industrial datasets, time-lapse reservoir characterization, seismic...
09.12.2016 - 09.12.2016
An interesting article on the work of WAVES partner Ben Holtzman on sonification of seismic data. An innovative approach to data display, data mining and dissemination that is also an important component of WAVES: http://physics.aps.org/articles/v9/146
01.12.2016 - 02.12.2016
WAVES Mid-Term Meeting
December 2nd, 2016
Université Pierre et Marie Curie, Paris 6
Tour Zamansky – 24th Floor, Room 2400
The purpose of this meeting is to assess the fulfillment of all aspects (scientific, research training, management, etc) of the project described in Annex 1 of the Grant Agreement. The structure of the network and the work plan will be reviewed. Particular attention will be...
06.09.2016 - 16.09.2016
This first WAVES short-course was held in Delft in September 2016 (6-16), just after the 2nd WAVES Workshop. The fellows learn in a systematic way how to use unified reciprocity theorems to derive seismic methods, such as imaging, multiple elimination, interferometry, time-reversal, etc.
02.09.2016 - 05.09.2016
The 2nd Workshop 'Advances in imaging' has been slightly postponed to September 2016 and was organized in Delft by TU Delft together with INSERM.
17.09.2015 - 21.09.2015
This 1st Workshop has been held in Pitlochry, Scotland, on 17-21 September 2015.
04.02.2015 - 05.02.2015
WAVES Kick-off meeting, 4th – 5th February 2015, Paris
In this section
- Coordinated by Université Pierre et Marie Curie
- 15 participating partners
- 6 European countries and the USA
- 15 trained fellows
- Project budget: 3 227 952.96€
- Project duration: 4 years
- WAVES is a European project funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Slodowska-Curie grant agreement n° 641943.