CGG (www.cgg.com) is a global geoscience technology leader. Employing around 3,700 people worldwide, CGG provides a comprehensive range of data, products, services and solutions that support our clients to achieve their business and transition goals. We combine human ingenuity and new technology to understand and solve the world’s natural resource, environmental and infrastructure challenges. Our unique perspective uncovers new ways for our clients to be more efficient and responsible, for a more sustainable future.
Our subsurface imaging specialists are constantly pushing the boundaries to discover new innovations. Our global network of centers provides region-specific expertise, outstanding service and remarkable technology in every image.
Become Part of our Team
Reporting to the Research Advisor, the Researchers main responsibilities will be to:
Develop algorithms and technology to solve a specified problem.
Validate algorithm on synthetic and real data to assess strengths and weaknesses of proposed approach.
Support rollout of new technology through internal presentations and user support.
Promote use of new technology to clients through scientific publications and presentations.
Keep informed of internal requirements by building close relationships with end users.
Develop knowledge by reading academic publications, attending technical presentations, workshops, conferences and seminars.
We are looking for individuals with:
Strong mathematics skills, these are essential, as you must be capable of abstracting technical concepts with mathematical languages.
Fantastic analytical and problem solving abilities and great attention to detail.
Excellent coding skills, also essential for this role, particularly C/C++ or FORTRAN and preferably knowledge of high performance computation (MPI, multi-threading, GPU, etc.)
Effective communication & presentation skills.
Highly motivated to deal with real data, solve real-world problems and deliver high-end technological products to our clients.
Experience in wave propagation, inversion, or strong signal processing background, is a pl