Head of Scientific Research – Machine Learning VEKIA - à Lille
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.
DESIRED SKILLS AND EXPERIENCE
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.