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Newtonian Noise subtraction for the Einstein Telescope

From IFPA wiki

POSTDOCTORAL POSITION

REFERENCE OF THE POST : IISN-ET-2024
STARTING DATE: 2024/09/01 (flexible)
DEADLINE FOR APPLICATION: March 15, 2024

Official web page: https://www.theo.phys.ulg.ac.be/ifpawiki/index.php?title=Postdoctoral_posts
STAR Institute web page: https://www.star.uliege.be/cms/c_4265211/en/star
IFPA web page: https://www.theo.phys.ulg.ac.be


JOB DESCRIPTION

The STAR Institute at the University of Liege, Belgium is welcoming applications to a postdoctoral researcher position to work with Prof. Maxime Fays's group starting in September 2024, with some flexibility on the starting date.

The postdoctoral researcher will focus on machine-learning-based Newtonian Noise subtraction for the Einstein Telescope, including the development, implementation, and in-situ tests of the method on the E-TEST prototype developed in Liège by Prof. Christophe Collette.

The successful candidate will also collaborate with other members of the GW group, with the Belgium Gravity Consortium (BelGrav), and most notably with Prof. Giacomo Bruno at the Université catholique de Louvain (UCLouvain).

QUALIFICATIONS REQUIRED / PROFILE

  • A doctorate in sciences or applied sciences;
  • A good knowledge of machine learning methods;
  • Experience in detector characterisation.

Note that the candidate must not have spent more than 24 months as a resident of Belgium over the last 3 years.

SELECTION PROCEDURE

The selection procedure will be in accordance with the regulations of the University of Liège. Our institutional policy is based on diversity and equal opportunities. We select candidates on the basis of their qualities, regardless of age, sexual orientation, origin, beliefs, disability or nationality.

APPLICATIONS

Applications will be sent to maxime.fays@uliege.be, specifying the reference number of the post no later than March 15th, 2024.

DOCUMENTS REQUIRED

  • A motivation letter;
  • A complete curriculum vitae;
  • A complete publication list;
  • A report on previous and current research activities, as well as a research project;
  • Two letters of recommendation that should be independently sent to the above address.

RECRUITMENT CONDITIONS

The position is allocated for 2 years and may be extended to a third year in exceptional cases.

INFORMATION

Any information concerning the nature of the tasks can be obtained from Prof. Maxime Fays maxime.fays@uliege.be.

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