Drilling Engineer
About the position
eDrilling is seeking enthusiastic and motivated interns to join our team. This is a unique opportunity to gain hands-on experience working on innovative projects at the intersection of engineering and artificial intelligence. You will collaborate with a multidisciplinary team to solve real-world challenges in drilling and well operations.
Responsibilities:
- Assist in analyzing drilling data to improve AI predictions and decision-making
- Support in deploying and maintaining digital tools for real-time drilling operations.
- Collaborate with engineers and data scientists on research and development projects.
- Assist in developing and testing AI-driven solutions for drilling and well operations.
Requirements to the applicant
Current bachelor or master students in petroleum engineering or similar, preferably with a background in drilling engineering
- Strong Interest in digital and AI solutions
- Strong problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and explore new technologies.
What we offer
We provide
- Hands-on Experience in AI & Drilling Technology
- Access to Industry-Leading Tools & Technologies
- Mentorship & Collaboration
- Research & Innovation Opportunities
- Flexible Work Environment and competitive internship salary
This could potentially lead to a full-time job if both sides are interested.
About the company
eDrilling is a leading energy technology company offering advanced software solutions to enhance safety, efficiency and decision-making in drilling operations. Commercially established in 2009 and rooted in research from 1989 at IRIS (now NORCE), we specialize in dynamic modeling, digital twins, and model-based reasoning to optimize drilling across from planning to execution. eDrilling serves global energy markets and developed well control software for carbon storage to enhance safety and scalability in CO2 operations. More recently, we are developing AI Drilling Agent, Ida, building upon these foundations and incorporating physics+based modeling and simulation with generative AI, Agentic AI, reinforcement learning,