Submission #251

Submission information
Submitted by Anonyme (not verified)
Wed, 09/27/2017 - 19:08
37.171.207.28
No
Industry
Post-Doc in Data Science
Short Term
IFPEN
IFPEN
http://www.ifpenergiesnouvelles.fr/IFPEN/En-bref
Benoit.celse@ifpen.fr
Lyon
France
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

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

Contact: B. Celse, Benoit.celse@ifpen.fr

Location : France, Lyon
Sun, 12/31/2017