Reseach Geophysicist - Internship 6 months
- Compensation
- Not disclosed
- Location
- Massy, France
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Science
- Posted
Skills
Must have
- Last year of Masters degree in any of the following disciplines: Mathematics, Physics, Computer science, Artificial intelligence, Data science, Natural Sciences with a Mathematics/Physics specializati
- Solid understanding of machine learning algorithms and neural network architecture
- Excellent coding skills with one or more programming languages, such as Python, C/C++, CUDA, FORTRAN
- Exceptional analytical and problem-solving skills
- Fluent English (read, written, spoken)
Nice to have
- Knowledge of basic geophysical and wave-propagation modelling concepts
- Highly motivated and eager to learn
Full description
Viridien () is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.
Job Summary
We are looking for a final-year Master’s student with a strong background in physics, mathematics, computer science, or machine learning. During this six-month internship, you will apply your analytical and problem-solving skills to develop, test, and refine advanced methods aimed at addressing real-world Earth imaging challenges.
The world beneath our feet is incredibly complex, and it's also the source of natural resources fundamental to our society. At Viridien, we combine signal processing, wave propagation, numerical optimization and AI to develop and test high-end algorithms and workflows with geophysical or engineering content for our clients.
You will have the opportunity to contribute to cutting-edge research on reservoir-oriented Full-Waveform Inversion (FWI). FWI is widely used at Viridien for velocity model building and seismic imaging in complex geological settings, enabling highly detailed, data-driven representations of the subsurface.
While industrial applications have traditionally relied on acoustic modelling to reduce computational costs, the move towards elastic modelling enables FWI to capture elastic phenomena in seismic data. This enhances P-wave velocity model building and imaging beneath complex overburdens, while also providing S-wave velocity information that can help distinguish fluids such as water, oil and gas and monitor their movement during reservoir characterization.
About the Team
You will be working in the subsurface imaging R&D team, in close collaboration with our software and production departments, to meet their demands and industry trends.
Our three R&D teams consist of passionate scientists with very diverse backgrounds including theoretical physics, engineering, as well as seismic exploration geophysics. We are all committed to supporting the Imaging teams on the delivery of the projects and to developing new technologies that will strengthen Viridien’s technical leadership on our competitive market.
Key Responsibilities
- Investigate the potential of using neural networks to incorporate petrophysical information for guiding full-waveform inversion (FWI) from both methodology and development perspectives.
- Develop a neural network model to map petrophysical parameters (porosity, lithology, saturation) to elastic parameters (Vp, Vs, density, …)
- Integrate the neural network mapping into the FWI framework, allowing the inversion to be guided by petrophysical information