Research departments


PhD proposals

Etude théorique et expérimentale de l'intrication à grande dimension dans les algorithmeset les protocoles de communication quantiques

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 :

: 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 :
Tel :
Tous les dossiers incomplets seront refusés.

Plus d'infos (pdf, 324 Ko)

13 Early Stage Researchers in MSCN European Training Network “ENHANCE”

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

  • Master degree or equivalent degree which formally entitle to embark on a doctorate;
  • Must not have resided or carried out main activity (work, studies, etc) in the country of host organisation for more than 12 months in the last 3 years (short stays for holidays do not count);
  • Must be in the first four years of full-time equivalent research experience of their research careers (starting from the date when the degree enabling the access to the PhD studies was obtained)
  • Have not been awarded a doctoral degree

How to apply

In order to apply, send by email to project coordinator Ausrine Bartasyte,
Applications should be submitted electronically before the 1st July 2017.

More information

Modeling, fabrication and experimental characterization of weakly coupled MEMS arrays for mass detection

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 -

More information (pdf, 383 Ko)

Energy based modeling and distributed control of a compliant bio-medical system

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:

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.

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.


Yann Le Gorrec (Supervisor), Professor, FEMTO-ST AS2M, UBFC Besançon
Yongxin Wu, Assistant Professor, FEMTO-ST AS2M, UBFC Besançon

More info (pdf, 1435 Ko)

From trapped bulk-acoustic-wave cavities to optomechanics

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

More informations (pdf, 45 Ko)