Adaptive optics (AO) is used in large telescopes to compensate for disturbances in the atmosphere as well as vibrations of the telescope optical components. With the increasing dimensions of telescopes, up to 42m for the European Extremely Large Telescope (E-ELT), the dimensions of the AO systems are increasing such that the computational complexity of the controller prohibits an (unstructured) centralized implementation.
The goal of this project is to design, implement and validate a fast and high performance control algorithm on multi-core of-the-shelf hardware to control a large scale adaptive optics system for application in extremely large telescopes. The PhD student will evaluate several efficient AO control algorithms, among which algorithms developed at DCSC, further optimize the computational complexity versus performance tradeoff and implement and validate the method on a multi-core AO demonstrator system. The project, which is funded from the ESFRI Consortium, is a collaboration between Delft University of Technology (Delft Center for Systems and Control) and the University of Utrecht (Astronomical Institute).
Requirements:
We are looking for a candidate with a Msc / PhD degree in Physics, Electrical Engineering, Computer Science, Mathematics, or equivalent, with a strong background in numerical algorithms for control and signal processing. Experience with parallel processing is a advantageous. The candidate is expected to further develop the research on fast and high performance adaptive optics algorithms that has been initiated at DCSC, to validate these in a laboratory demonstrator and to publish his/her research in scientific publications. If you have already accomplished a PhD in the field relevant for this project, you are encouraged to apply for this
position as a PostDoc researcher.
Contact Info:
Interested candidates you should send i) a detailed CV, ii) a letter of application, iii) your grades, iv) a summary of your MSc / PhD thesis and list of publications (if any), and v) the names and contact data of three professional reference persons to Prof. Michel Verhaegen at M.Verhaegen@tudelft.nl
Please quote 10 Academic Resources Daily in your application to this opportunity!
