Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : LIG – Laboratoire d’informatique de Grenoble
Durée : 2 years
Contact : gilles.bisson@imag.fr, franck.thollard@imag.fr
Date limite de publication : 2016-09-30

Contexte :
This position is part of IKATS that is a Research and Development project funded by the French government in the frame of PIA program. Partners of this project are: LIG, CSSI, AIRBUS and EDF- R&D.
The IKATS project1 (Innovative ToolKit for Analysing Time Series) aims to build a software toolbox, providing in the same framework all the tools allowing to manage, to explore, to analyze and to visualize large volumes of “Time Series”. Indeed, “Time Series” (i.e. sequences of data points, consisting of successive measurements made over a time interval) are observed in a growing number of scientific and industrial domains, such as: medicine, biology, physics, energy consumption…
The key points of this project is to build a collaborative environment suitable for non-expert users of Data Mining and set up the “High Throughput Analysis of Multivariate Time Series” pushing the current quantitative limits both in number of time series variables and events analyzed simultaneously.

Sujet :
The successful candidate will have to implement and/or to optimize the Machine Learning and Statistical algorithms published in research papers or currently developed in the LIG laboratory and then to package these algorithms to include them in the IKATS platform. He/she will also support the collaboration between the research teams and the industrials and will collaborate to the conception of the Web based visualization tools.

Profil du candidat :
Candidate must be knowledgeable (or having a very strong motivation) concerning Statistics, Machine Learning, applied mathematics and must have an excellent skill in software development in computer science.

Speaking languages: french (preferably) and english

Formation et compétences requises :
Qualification: engineering degree or PhD

Programming langages:
– Python (including Numpy, Scipy, Scikit-Learn), R.
– Spark, …
– Unit testing, code profiling tools, issue trackers…

Optional:
– C, Java, Scala, Mathlab
– Web visualization framework: D3.js, GIT, SVN, WebGL, …

Adresse d’emploi :
Equipe AMA, bâtiment IMAG
Laboratoire d’informatique de Grenoble
38058 GRENOBLE CEDEX

Document attaché : expert-engineer-position-lig-ml.pdf