Post-doc in Data Science

When:
31/12/2017 – 01/01/2018 all-day
2017-12-31T01:00:00+01:00
2018-01-01T01:00:00+01:00

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

Laboratoire/Entreprise : IFPEN
Durée : 1 an
Contact : Benoit.celse@ifpen.fr
Date limite de publication : 2017-12-31

Contexte :
We are looking for a highly motivated postdoctoral fellow in the area of Big Data and Data Science with a particular focus on chemical data.
The project aims to establish a Big Data Ecosystem in order to predict chemical properties:
• Develop and apply advanced statistical methodology for analyzing sparse, and high-dimensional process chemical data (feedstock characterization, operating condition, product properties)
• Build on multivariate data-mining/machine-learning theory and methods for visualize and automatically predict some properties (cetane index, density, conversion, selectivity …)
• Develop methods for handling incomplete data
• Discover hidden patterns in chemical data
• Publish in leading conferences and journals

Sujet :
We are looking for a highly motivated postdoctoral fellow in the area of Big Data and Data Science with a particular focus on chemical data.
The project aims to establish a Big Data Ecosystem in order to predict chemical properties:
• Develop and apply advanced statistical methodology for analyzing sparse, and high-dimensional process chemical data (feedstock characterization, operating condition, product properties)
• Build on multivariate data-mining/machine-learning theory and methods for visualize and automatically predict some properties (cetane index, density, conversion, selectivity …)
• Develop methods for handling incomplete data
• Discover hidden patterns in chemical data
• Publish in leading conferences and journals

Profil du candidat :
The ideal candidate shall pursue exciting research in the areas of Big Data, chemical data analytics, machine learning, large-scale networks, deep learning, …

Formation et compétences requises :
Candidates with a computational background (PhD) and the desire to get involved in an application-driven project in a stimulating, interdisciplinary environment (process engineer, applied mathematics,…) are encouraged to apply.

Adresse d’emploi :
IFPEN, Rond-point de l’échangeur de Solaize, 69360 Solaize

Document attaché :