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Annonce

10 février 2021

PostDoc or Research Engineer on the modelling of wireless communication among drones based on AI


Catégorie : Post-doctorant


ENSTA Bretagne is an engineering school and a multidisciplinary research center, with 910 students in under graduate engineering, master's or thesis. This public establishment trains general engineers which are able, in an international environment, to design and implement high-tech systems for various sectors of industry: naval, aerospace, automotive, telecommunications, energy, defense, etc. The fields of specialization offered are broad, thus covering marine sciences (naval architecture, marine renewable energies, hydrography, observation systems and autonomous robotics) and multidisciplinary technological challenges (mechanical modeling, vehicle architecture, pyrotechnics, digital systems and security, management of industrial projects). Research work, most often carried out in strong industrial partnership, is carried out in multi-establishment laboratories: in information and communication technologies (Lab-STICC, UMR CNRS 6285), in mechanical sciences (IRDL, UMR CNRS 6027), in human and social sciences (CRF, EA 1410). ENSTA Bretagne has a large experience to deal with research studies, and industrial complex national and international projects related to the development and the design of new hardware as well as software of communicating systems. Lab-STICC consists of 548 members, including 102 professors, 124 assistant professors; 64 Postdoctoral fellows, more than 40 engineers and more than 210 PhD candidates. Lab-STICC is a recognized reference in research on communicating systems, designed both hardware and software. During the last five years: Lab-STICC participated in more than 230 projects including national (ANR, FUI, etc) and international & European projects, in 121 industrial contracts, and published more than 740 journal Papers, 1700 conference papers, 32 books, 40 patents, 60 invited seminars and 90 book chapters.

By considering the physical propagation models in difficult environments (strong reliefs), the candidate should develop an agile communication system among drones, various air systems and ground stations. The performance of the system must be reinforced by methodologies derived from machine learning and AI (in particular Deep Learning). In addition, the candidate will enhance his scientific work by publishing in specialized international journals and conferences.

In the literature, one can find various standard models developed and tested in the last decades. Nevertheless, the accuracy and the robustness of previous models remain open to discussion especially when the aeronautical systems fly at low altitude or in areas of high reliefs. In this case, the interactions with the ground station become far more complex. ITU (International Telecommunication Union) officially recommends a model mainly based on the IF-77 electromagnetic wave propagation model. However, French team at IUT showed some drawbacks of the proposed model related to ITU recommendations P.525 and P.526 for areas of high reliefs.

Finally, the theoretical propagation models must allow a realistic estimation for our two major concerns: the distance of coordination for the interaction between radars and civilian aircrafts, the data rate between UAV and a ground station.

Our project will run over a period of 2 years. The net wage is around 1800€/month (negotiable). The successful candidate should have skills in: Artificial Intelligence and telecommunications, data analysis. Having skills in electromagnetic waves propagation, diffraction would be a plus. He\she should be able to program in python, Matlab or C. The main references for this project are the different ITU recommendations (such as P-528 for instance). All IUT recommendations are freely downloadable on the ITU web site.

 

Applicants should submit:

  • ·Cover Letter
  • ·Curriculum Vitae
  • ·At least two recommendation letters

To be Eligible: Applicants should have French, European or Swiss nationality.

The project is supervised by Dr. Arnaud Coatanhay and Dr. Ali Mansour. Contact details are given below:

Arnaud Coatanhay: arnaud.coatanhay@ensta-bretagne.fr Phone: +33 2 98 34 88 09

Ali Mansour: ali.mansour@ensta-bretagne.fr, mansour@ieee.org; ali.mansour@free.fr

Phone: +33 2 98 34 87 88

 

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