Signal Processing/Optimization Scientist, Cambridge, MA

Schlumberger-Doll Research, based in Cambridge, MA, invites applications for a Post-Doctoral position in its Petrophysics group.

The candidate will conduct research in the area of signal processing, optimization and inversion for petrophysical applications with focus on data analysis and algorithm development for constrained and/or simultaneous inversion of various types of data.

[Requirements]

The candidate is expected to have a PhD in Electrical Engineering, Signal Processing or related field. Strong skills in the areas of signal processing, spectral analysis, solving standard and large-scale optimization problems are expected. Knowledge of Bayesian as well as non-Bayesian approach is required. The candidate needs to be proficient in Matlab, C++ and FORTRAN.

Excellent writing and communication skills in English and ability to work in a multidisciplinary team are requirements. Additional knowledge and/or experience in the domains of artificial intelligence and pattern recognition are a plus.

[About Schlumberger]

Schlumberger is the world’s leading supplier of technology, integrated project management and information solutions to customers working in the oil and gas industry worldwide. Employing approximately 118,000 people representing over 140 nationalities and working in approximately 85 countries, Schlumberger provides the industry’s widest range of products and services from exploration through production.

Applicants should send letter of intent and resume via e-mail to nseleznev@exchange.slb.com with reference “Petrophysics”. Schlumberger is an equal opportunity employer and is committed to the diversity of its workforce.

(Source: IEEE jobsite)