Digital models developed in the field of biomechanics require experimental data that are not always accessible. The thesis project aims to develop an experimental methodology to validate numerical models and characterize biomechanical structures under in vivo solicitations. The aim is to identify, on the one hand, the model of behavior and the corresponding parameters that are best adapted to the medical problem and, on the other hand, the appropriate experimental approach to the uncertainties of the problem.
Contact : Emmanuelle Jacquet
More information (pdf, 250 Ko)
Depuis la publication des articles de Shor et Grover nous savons qu'il existe des algorithmes quantiques qui surclassent leurs homologues classiques. En particulier l'algorithme de Shor factorise en temps polynomial les grands nombres, ce qui a pour conséquence de casser le cryptosystème RSA sur lequel s'appuient beaucoup de système de sécurité informatique. Le phénomène quantique d'intrication, i.e. la possibilité que des parties (particules) distinctes d'un système soient corrélées au-delà des capacités classiques, est reconnue comme une des ressources centrales responsable des performances des algorithmes quantiques. Mais le rôle et la nature de cette intrication au cœur des algorithmes ou plus généralement au niveau des communications quantiques, sont encore mal compris. Récemment des études numériques ont été conduites sur des algorithmes particuliers mais cette approche ne fournit pas d'explication des phénomènes observés.On propose d'étudier dans cette thèse l'intrication présente dans les algorithmes quantiques à l'aide d'une modélisation géométrique de l'intrication dans les systèmes multipartites purs à quelques composants.
Contact :
Directeur
: JM. Merolla, CR1, HDR de l’Université de Franche-Comté
Co-encadrant (50%) : F. Holweck, Maître de Conférences, UTBM
Dossier à envoyer à Arnaud Marchant :
arnaud.marchant@utbm.fr
Tel : 03.84.58.35.44
Tous les dossiers incomplets seront refusés.
The Initial Training Network entitled "Piezoelectric Energy Harvesters for Self-Powered Automotive Sensors: from Advanced Lead-Free Materials to Smart Systems (ENHANCE)" will provide thirteen Early Stage Researchers (ESRs) with broad and intensive training within a multidisciplinary research and teaching environment. Key training topics will include development of energy harvesters compatible with MEMS technology and able to power wireless sensor. Applied to automobiles, such technology will allow for 50 kg of weight saving, connection simplification, space reduction, and reduced maintenance costs - all major steps towards creating green vehicles. Other important topics include technology innovation, education and intellectual asset management.
Eligibility criteria
How to apply
In order to apply, send by email to project coordinator Ausrine Bartasyte, ausrine.bartasyte@univ-fcomte.fr
Applications should be
submitted electronically before the 1st July 2017.
More information
https://euraxess.ec.europa.eu/jobs/209340
https://sites.google.com/a/itn-enhance.com/its-enhance-722496/home
The goal of the PhD is to investigate the potential of the mode localization effect in the field of mass detection. This work will thus include a part dealing with designing and modeling of a mass detector based on weakly coupled MEMS arrays. A second part of the work concerns the fabrication of the devices and their experimental characterization.
Keywords MEMS array, mode localization, mass detection
Contact Vincent Walter - 03 81 66 67 27 - vincent.walter@univ-fcomte.fr
More information (pdf, 383 Ko)
The aim of this project is to propose new models and robust control laws for a compliant bio-medical system actuated through electroactive polymers by using the port Hamiltonian framework.
Objectives and time planing
This thesis has three main objectives:
Modeling:
First, to develop a reliable model of the electro-active polymer taking
the multiphysical, non linear and distributed parameters properties
into account. This work will be done based on the theoretical results
proposed in [4] and adapted to the considered application case (nature
of polymer, mechanical structure and environment). The experimental
validation will be done using the experimental resources developed in
our department.
Reduction:
Second, to propose a structure
preserving reduction/discretization method and to apply it to this class
of systems with control design perspectives [15]. The influence of the
physical parameters on the system dynamics and the errors due to the
reduction will be studied.
The characteristic and number of the actuators will be also investigated.
Control design:
Third,
to design robust control laws using the reduced order model and taking
the approximations due this reduction into account. An experimental
set-up will be built in order to test the proposed control design
methods.
Candidates profile
Excellent MSc/Engineer in Automatic Control.
Strong knowledge background in automatic control and applied mathematics.
Fluent in speaking and reading English.
Contact
Yann Le Gorrec (Supervisor), Professor, FEMTO-ST AS2M, UBFC Besançon legorrec@femto-st.fr
Yongxin Wu, Assistant Professor, FEMTO-ST AS2M, UBFC Besançon yongxin.wu@femto-st.fr
The “Time and Frequency” department of FEMTO-ST Institute proposes a PhD Position for three year which is available from October 2017. It aims to pursuit and reinforce recent investigations on bulk acoustic wave resonators at cryogenic temperature (typically 4 Kelvins).
The successful candidate will be involved in cutting edge physics experiments based on optomechanics, when designing a cryogenic oscillator. He will demonstrate strong skills in Physics, Electronic, Mechanical Engineering, and Optics.
Knowledge of French language would be appreciated but is not required. Nevertheless a good level in spoken and written English is obviously mandatory.
Contact : Serge Galliou