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Reference : UMR7253-SEBDES-002
Workplace : COMPIEGNE
Date of publication : Thursday, November 21, 2019
Type of Contract : FTC Scientist
Contract Period : 24 months
Expected date of employment : 1 February 2020
Proportion of work : Full time
Remuneration : Between 2643,22€ and 3047,48€ gross monthly salary
Desired level of education : PhD
Experience required : Indifferent
Pursue research to develop statistical methods to learn preference models that are robust in presence of severe uncertainties.
Standard research and development activities: development of inference/estimation methods, implementation and test on benchmark data sets.
The candidate is expected to develop robust (Bayesian) approaches to learn ranking models, in particular extending well-known models such as Plackett-Luce or Mallows models.
Excellent Skills in Statistic, optimisation, artificial intelligence
Good Skills in programming and implementation
Excellent skills in communication, both written and oral
This work will be settled within the framework of ANR PreServe, centered on learning preferences under severe uncertainties.
The work will take place within the Heudiasyc Laboratory, that has an internationally recognized expertise on learning problems under severe uncertainties
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