Aller au contenu principal Aller au menu Aller à la recherche

[POST-DOC] Auto-Tuned Adaptive Optics Control for CANARY

  • Recherche
  • Thèse et post-doc
  • Laboratoire Charles Fabry (Palaiseau)
  • Imagerie et Information


Main location: Institut d'Optique (Palaiseau, France)

Other locations: Durham University (UK), William Herschel Telescope (La Palma, Canaries Islands)

Detailed offer: The recruited researcher will design and implement a high-performance auto-tuned regulator embedded in the Real-Time-Computer (RTC) DARC of the CANARY adaptive optics demonstrator. CANARY is made available as a facility within the Horizon Europe 2020 ORP project. These developments will be made in collaboration with Durham University and the LESIA-Observatoire de Paris-Meudon, who manage the CANARY demonstrator [1,2]. Several on-sky runs are foreseen to test and validate the complete auto-tuned AO control strategy.

Based on IOGS experience in predictive control and modelling and thanks to the rich scientific environment provided by the three teams, the recruited researcher will develop and implement a comprehensive control strategy allowing the regulator to operate in a fully automated fashion.

The most adequate regulator will have to be determined using telemetry data, with possible use of wind profiles. A specific study on the effect of wind in control performance will be conducted in collaboration with James Osborn from Durham University [3]. A stay in Durham of several months is therefore possible during the 2 years.

In order to automatically adapt the regulator to turbulence evolution, update strategies will have to be defined. The regulator will be implemented in the existing DARC RTC (based on Python & C), which already features a generic linear control module. A Graphical User Interface will also be needed in order to allow operation by a non-specialist. These aspects will be discussed with all the partners, in close link with the existing GUI developed by LESIA. The soft real-time operations (data processing, model identification, gain calculation, etc.) can be done in Python or Matlab.

Several runs for on-sky tests are foreseen to test and validate the auto-tuned adaptive optics controller. They will be done at the William Herschel Telescope (located in La Palma in the Canary Islands) where the CANARY demonstrator is installed. A dramatic performance improvement in terms of image resolution is expected, according to preliminary on-sky tests done on CANARY with a predictive controller [4,5].


The candidate must hold a PhD, either in adaptive optics with preferably some knowledge of control theory, or in observer-based control with applications preferably in adaptive optics. Additionally, good programming skills in Python will be highly appreciated.

Gross salary: 2800€ minimum, depending on the candidate's experience


Feel free to contact us for any additional information. Motivation letter and CV to be sent to:,,


[1] R. M. Myers & al, CANARY: the On-Sky NGS/LGS MOAO Demonstrator for EAGLE, SPIE 2008

[2] F. Vidal & al, Analysis of on-sky MOAO performance of CANARY using natural guide stars, A&A 2014

[3] J. Osborn & al, Observations of the dynamic turbulence above La Palma using Stereo-SCIDAR, AO4ELT 2015

[4] G. Sivo & al, First on-sky SCAO validation of full LQG control with vibration mitigation on the CANARY pathfinder, Opt. Expr. 2014

[5] B. Sinquin & al, On-sky results for adaptive optics control with data-driven models on low-order modes, MNRAS 2020

Site réalisé par Intuitiv Interactive