The IAS team is hiring a PhD student as of October 2017.
This PhD thesis will study new techniques aiming at optimizing the transmission power and the spectrum allocation in future mobile communication networks (5G and beyond). The work will especially focus on combining non-orthogonal multiple access (NOMA) methods with distributed antenna system (DAS) deployment strategies. The PhD student will work on innovative methods for optimized power and spectrum allocation among antennas and among users co-located in spectrum sub-bands. Particular attention will be paid to the case of mission-critical transmissions in public safety networks and to broadcast networks.
Mobile networks; Distributed base stations, Energy efficiency; Resource allocation; Public safety networks; Broadcast networks
Location: IMT Atlantique
Application:Full description (110.42 ko)
The IAS team is hiring a PhD student as of October 2017.
This PhD thesis aims at investigating Forward Error Correcting (FEC) codes of the turbo family, able to achieve or approach Tb/s decoding throughputs. The thesis will focus on the study of architecture-aware encoding, puncturing and decoding algorithms as well as of the corresponding architecture templates. Several turbo code structures will be investigated, namely conventional and flexible-degree turbo convolutional codes.
The thesis work will be carried out in the framework of the upcoming H2020 European project EPIC (Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding, Sep. 2017 – Aug.2020). EPIC aims to develop a new generation of Forward-Error-Correction (FEC) codes to enable practical wireless Tb/s link technology—corresponding to a 10x–100x throughput improvement over the state of the art.
Thesis supervisors and location:
Supervisor: Dr Charbel Abdel Nour (email@example.com)
Co-director: Prof. Emmanuel Boutillon (firstname.lastname@example.org)
Co-director: Prof. Catherine Douillard (email@example.com)
Workplace: IMT Atlantique/Electronics Department, Lab-STICC laboratory/ IAS Team
Technopole Brest Iroise – CS 83818 – 29238 Brest Cedex 3 – France
Application:Full description (391.96 ko)
The Lab-STICC research center in Lorient is hiring a research engineer in a fixed term contract of 9 months that can be renewed. The Lab-STICC laboratory develops a plateform "SCAP - factory of the future - Apdaptative Cyberphysics Systems for the Production in the factory of the future". This platform aims at deplying demonstrators of digital technologies dedicated to production systems. Digital technologies used in SCAP -factory of the future are developed at Lab-STICC. These technologies have shown their interest in many different domains (military, telecommuncations, ...) and should be used for Production.Download : Fiche de poste (in French) (1.19 Mo)
Jean-Yves Royer (DR CNRS, LGO-IUEM) firstname.lastname@example.org
Co-supervisor : Flore Samaran (MCF ENSTA-Bretagne, LabSTICC) email@example.com
The impact of whaling in the last century and recent environmental changes are major issues for the
conservation of blue whale populations in the Southern Ocean. Until the implementation of a total
whaling ban in 1982, it is for instance estimated that more than 99% of the Antarctic blue whale
population was decimated in the Southern Ocean. An international initiative is underway to coordinate
their study in the Southern Ocean to provide recommendations for their conservation, based on solid
The recovery of large-whale populations in the Southern and Indian oceans is still poorly
known due to the sparseness of information, such as visual observation, in such remote areas with
prevailing rough weather conditions. However, blue whales are acoustically very active and can easily be
detected and their species and sub-species deciphered from their specific calls. Passive listening of the
high acoustic-activity of blue whales provides an alternative approach, very efficient and non-intrusive to
monitor their status in terms of presence, distribution, migration pattern, and sympatry.
In this context, an acoustic observatory has been set up in the southern Indian Ocean in 2010. We have
now collected up to 7 years of continuous recordings at 5 to 6 sites spanning a wide range of latitudes and
longitudes (30 ̊ x 30 ̊). An initial thesis (2014-17) demonstrated the wealth of information in these data to
study the Antarctic Blue whale (Leroy et al., 2016). Here we propose to extend to other species, sub-
species and sub-populations of blue whales (pygmy blue whale, fin whale) the developed approach: tests
of new detection algorithms, systematic analysis of available data, characterization and classification of
whale calls. The results will be interpreted in terms of seasonal presence, geographic distribution,
sympatry and use of habitats in the southern Indian Ocean. This observation will then be examined in view
of the evolution of environmental conditions (temperature, trophic chain, movements of oceanic front,
ambient noise, ...).
This pluridisciplinary project covers the domains of hydroacoustics, signal processing and marine ecology.
The project involves a large amount of processing and analysis of acoustic signals from a large data base.
This work will benefit from data collected in the framework of the Observatory at IUEM, environmental
data and data from the hydroacoustic observatory of the seismicity and biodiversity in the Indian Ocean
Expected candidate profile
In addition to an interest in hydroacoustics and marine ecology, this project requires a solid background
and experience in signal processing and managing large digital database.
National and international collaboration
This work will be conducted in interaction with the LabSTICC-Telecom Bretagne, the Applied Physics
Laboratory, University of Washington, Seattle WA (USA) and the Woods Hole Oceanographic Institute
(WHOI, USA). Outputs from this thesis will contribute to the « Southern Ocean Research Program » (SORP)
from the International Whale Commission.
Alexandre Baussard (Lab-STICC, Team TOMS, firstname.lastname@example.org)
For the purpose of underwater mine countermeasure, automatic (underwater) target recognition (ATR) is
usually performed on high resolution sonar images. However, environmental effects are known to degrade
performances of most of the existing ATR processes. Up to now, these effects are usually limited by filtering
the image but it must be noticed that this strategy is not relevant for some environmental conditions and can
also alter the available information [1, 2, 3].
In this thesis, on the contrary, we consider the environment as an important piece of information that can be
used to design a robust ATR process. The challenge is to process sidescan sonar images to represent and to
quantify information of the seafloor nearby a target in order to help the detection and the recognition stages.
Previous works at ENSTA Bretagne consisted in describing the seafloor by the use of a new mathematical
operator: the monogenic signal . Combined with the intrinsic dimensions in a multi-scale framework, this
operator allows to characterize the seafloor in terms of energetic and geometrical properties at several levels
of details .
Following the above mentioned works on seafloor characterization, the candidate will have to analyze and
then to include this information in the ATR process so as to improve ATR performances.
Analysis means understanding, processing and evaluating the available mathematical tools developed in an
ongoing PhD thesis [6, 7, 8]. The recently proposed classification of seafloor as homogeneous, anisotropic and
complex will be assessed and discussed. It would help the candidate to build a robust ATR process. Whereas
the standard ATR process is sequential and likely to propagate errors, the candidate will have to propose a
new adjustable framework in which environment properties can be set as inputs for adjusting the target
Conditions of Application
The candidate should have a strong background in mathematics, information theory, and signal processing.
To apply, please send an email to email@example.com giving motivations for the topic, a
full CV, student’s university transcripts, recommendation letters or contacts of former teachers/supervisors,
MSc project or thesis report (if available).
Considering Defense restrictions, the candidate has to be an EU national.
 J. Fawcett, “Automatic Target Recognition methods for sidescan sonar images: the advances and the
challenges”, in Proc. of the International Conference on Underwater Remote Sensing (ICoURS) - Detection and
Classification of Underwater Targets, Brest, France, 8-11 October 2012, Edited by Isabelle Quidu, Vincent Myers
and Benoit Zerr, Cambridge Scholars publishing, 2014.
 T. Sams, J. L. Hansen, E. Thisen and B. Stage, Segmentation of Sidescan Sonar Images, Danish Defence Research
Establishment report, DDRE M-21/2004, 2004.
 J. D. B. Nelson and N. G. Kingsbury, « Fractal dimension based sand ripple suppression for mine hunting
with sidescan sonar”, Institute of Acoustics Conference on Synthetic Aperture Sonar and Synthetic Aperture Radar,
Sept 13-14, Lerici, Italy, 2010.
 M. Felsberg and G. Sommer, ‘The monogenic signal’, Signal Processing, IEEE Transactions on, vol. 49(12), pp.
 M. Felsberg, S. Kalkan and N. Krüeger, “Continuous dimensionality characterization of image structures,”
Image and Vision Computing, vol. 27, no. 6, pp. 628–636, 2009. L. Picard, A. Baussard, G. Le Chenadec and I. Quidu, “Potential of the intrinsic dimensionality for
characterizing the seabed in the ATR context”, in IEEE/OES and MTS OCEANS conference, 2015.
 L. Picard, A. Baussard, G. Le Chenadec and I. Quidu, ‘Seafloor characterization for ATR applications using
the monogenic signal and the intrinsic dimensionality’, IEEE/OES & MTS OCEANS conference, Monterey, September
 L. Picard, A. Baussard, G. Le Chenadec and I. Quidu, ‘Detection of MLO in sand ripple seafloor using the
monogenic signal and intrinsic dimensionality’, IEEE/OES & MTS OCEANS conference, Monterey, September 2016.
18 months Postdoc Position in the context of the BBC Cominlabs Project.
The objective of the project is mainly to explore Network on Chip (NoC) hybrid technologies to take advantage of broadcast mechanisms within manycore architectures. The originality of the project firstly relies in the combination of 3 technologies (Radio, Wired, Optical links) that all have different benefits and drawbacks and can be used efficiently within a single NoC to transmit different types of data and synchronisation messages.
The work will first consist in the design of SystemC NoC simulator that will abstract the different technology layers with different access protocols as well as timing and power models. Secondly it will be necessary to add new communication mechanisms that cannot be detailed here. The last point concerns the interface with multiprocessor simulators.
A strong background in SystemC and parallel computing is required. A good knowledge of NoC tools and techniques will be highly appreciated.
The successful candidate will join the MoCS team in Lorient. The fellowship is awarded for a period of 18months starting in June or September 2017.
Interested candidats are expected to send, by email to jean-philippe.diguet(at)univ-ubs.fr, a detailed academic CV and references such as contact information of former supervisors.
Download : 1postdoc_bbc.pdf (91.61 ko)
IMT Atlantique (resulting from the merger of Télécom Bretagne and Mines Nantes) is recruiting an Associate Professor in Operations Research (ideally, "Multi-Criteria Decision Aiding and preference modeling" profile) on the Brest campus.The announcement in French and English can be downloaded below.
Philippe Lenca (firstname.lastname@example.org) and Patrick Meyer (email@example.com) are at your disposal in case of additional questions.Download : Open Position in Operations Research at IMT Atlantique (Brest) (213.76 ko)