With more than 66,500 employees worldwide,
Safran is a top-tier supplier of high-tech systems and equipment, with leading
positions in the Aerospace, Defense and Security industries.
Safran invests 12% of her revenue in Research
& Development to match the fast-pace of dynamic markets. Thomson-Reuters
ranked Safran one of the Top 100 Global Innovators with an average of 750
patents per year. (Ranked number 3 in the top French organizations to have
SAFRAN is building a state of the art
corporate research center to develop out-of the box innovations and disruptive
technologies for the aerospace, defense and security industries.
This facility will be located in Paris-Saclay
campus, the French world-class technology cluster of research institutions and
This research center
will be comprised of ~300 multicultural aerospace physical, and computer
scientists and engineers organized into three main fields: advanced aerospace
systems (propulsion and energetics, electrical and electronic systems); digital
technologies (information and signal processing, modeling and simulation);
materials and sensors (materials and processes, test lab, sensor technologies
participate to the creation and development of Safran Research Center
ARE LOOKING FOR
research engineer in Data Processing & Machine Learning
to help us meet the major
technology challenges that are key to tomorrow's products
position in the greater Paris area, to be filled immediately
contribute to design new systems, equipment and services for Safran by identifying
and developing innovative Data Analysis algorithms and technologies. The
targeted applications are in the aerospace, biometrics/security, defense,
industrial inspection and manufacturing sectors.
“state of the art” algorithms on specific areas of Data processing &
develop and evaluate new Data processing & Machine Learning algorithms
- Propose and
advise doctoral thesis, support post docs and interns.
software platforms and libraries.
partnerships with academia or industry.
- Occasional trips
to other Safran entities.
- Travel in France
and technical skills required:
learning and datamining
dimensions Statistics and "big data" modeling
geometry and techniques for dimension reduction
modeling and processes
for weak signals and outliers
human-machine interface and visual representation for data mining
and non-linear optimization. Fusion, diagnostics and prognostics
parallel and distributed real-time algorithms
C/C++, Matlab, etc.
to listen to people, synthesize information and sharing knowledge.
to operate independently, very meticulous, writing and presentation skills
Education and experience
After earning a PhD (Statistics
- applied math-Data processing), you should have two to five years of
experience in the public and/or private sector as research engineer..