Geoscientist AI/ML for Energy Data & Decisions

Halliburton; Kraków; On-site; PLN 120,000 - 180,000; Full time

Job summary

Halliburton invites applications for roles within the Computational Science and Engineering for Energy (CSEE) team, spanning early-career geoscience graduates and engineers with up to five years of experience. You will build and test advanced research algorithms used by oil and gas operators daily, and engage in proof-of-concept work with live datasets.

Growth in AI/ML and domain expertise is encouraged. You will work with Landmark software and other Landmark tools in a global, collaborative

Qualifications

• Masters in Geophysics/Geoscience/Petrophysics or related discipline, or equivalent experience.
• Working knowledge of at least one modern programming language and AI/ML knowledge.
• Experience contributing to a shared research project with scientists is a plus.

Responsibilities

• Build and test features for CSEE products used by energy companies worldwide.
• Contribute to proof-of-concept on live client data and learn application behavior under real conditions.
• Participate in weekly peer reviews and help document features you work on.
• Collaborate across time zones in a distributed team and learn AI/ML workflows.

Skills

Programming language proficiency

AI/ML knowledge

Education

Masters in Geophysics/Geoscience/Petrophysics

Tools

Python

Decision Space Geoscience

Decision Space Petrophysics

Landmark software

Job description

Halliburton invites applications for roles within the Computational Science and Engineering for Energy (CSEE) team, spanning early-career geoscience graduates and engineers with up to five years of experience. You will build and test advanced research algorithms used by oil and gas operators daily, and engage in proof-of-concept work with live datasets.

Growth in AI/ML and domain expertise is encouraged. You will work with Landmark software and other Landmark tools in a global, collaborative