Publié le 23/11/2016

Head of Scientific Research – Machine Learning VEKIA - à Lille

  • CDI
  • Lille

  • Publié il y a 1 année
  • Date de prise en fonction:
  • Expérience souhaitée:
    Entre 5 et 10 ans
  • Fonction:
    Head of Scientific Research - Machine Learning



As the Head of Scientific Research, you will be managing our Machine Learning for Supply chain planning and management research programs, researchers and research engineers. Your department’s missions include:

  • Contribute to the company vision, growth and development;
  • Create, improve, enrich the Machine Learning algorithms for demand forecasts and optimal stock computation. Write technical reports and elaborate prototype software;*Assist software engineering teams in implementing the algorithms in Vekia’s core software;
  • Contribute to the creation of novel, value added functionalities for Vekia’s software;
  • Design and implement proof-of-concept programs to help our sales team conquer new customers;
  • Spread Machine Learning knowledge inside the company and towards our clients and the media;
  • Publish research work and represent Vekia in scientific conferences, summits, scientific journals;
  • Supervise young researchers (Ph. D. Students) and train our engineers to Machine Learning and statistical modelling.


You have defended your PhD at least 8 years ago and you have developed a personal research area in at least one of the following fields:

  • Machine learning: Neural networks/deep learning, Kernel Methods (RKHS) – SVM, LASSO, etc;
  • Statistical learning: Bayesian statistics, sequential Monte Carlo, MCMC;
  • Markov decision processes (MDP et POMDP), optimal policy search, reinforcement learning;
  • Discrete optimization, stochastic optimization;
  • Time series analysis.

You have published your research results in high level journals and conferences and you are recognized by your scientific community (citation count, h-index). You have been practicing scientific software programming in R, Python, MatLab, C++ or any equivalent. Some knowledge about distributed computation (e.g., SPARK) is an asset. You have had at least one professional experience in a private company and/or you have several significant research contracts with private companies.

You are fluent in English (spoken and written). You speak French or are ready to learn. For nonnative English speakers, a long stay in a native English speaking is required.

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