Position Details
About this role
This role involves developing and deploying new sensing technologies and algorithms for downhole applications, focusing on fiber optic sensors, physics-based modeling, and machine learning to enhance reservoir surveillance and energy extraction.
Key Responsibilities
- Develop algorithms for sensor data
- Support experimental validation
- Advance sensing technologies
- Collaborate on downhole systems
- Enhance energy sensing capabilities
Technical Overview
The position requires expertise in fiber optic sensing, physics-based modeling, neural networks, machine learning, and data analysis, supporting innovative downhole sensing solutions.
Ideal Candidate
The ideal candidate is a research engineer with expertise in fiber optic sensing, physics-based modeling, and machine learning, capable of developing algorithms for downhole sensor data interpretation and validation. They should have a strong background in energy-related sensing technologies and collaborative research.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in fiber optic sensing, No background in physics-based modeling, Inability to work on energy sensing projects
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile