Geological Modeller

Rocscience; Toronto; On-site; CAD 80,000 - 150,000; Full time

Job summary

Join Rocscience as a Geological Modelling Scientist and lead the advancement of innovative geological modelling software. This role merges classical techniques with cutting-edge AI methodologies, offering a chance to significantly impact the geoscience field. Ideal candidates will hold a PhD and possess strong programming and mathematical skills, ready to collaborate with engineers to translate complex geological concepts into effective software solutions.

Benefits

Equity options

Qualifications

• PhD required with specialization in geological modelling or computational geoscience.
• Proficiency in programming languages like Python, R, or C++.
• Understanding of 3D geological modelling principles.

Responsibilities

• Design and develop geological modelling software architecture.
• Implement algorithms enhancing traditional geological modelling methods with AI.
• Validate model accuracy and performance using testing protocols.

Skills

Programming Languages

Geological Modelling

Mathematical Concepts

Machine Learning

Geospatial Data Analysis

Education

PhD in Mathematics, Statistics, Geology or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Join to apply for the Geological Modeller role at Rocscience

Join to apply for the Geological Modeller role at Rocscience

Geological Modelling Scientist - PhD / Advanced Degree Required

We are a premier geoscience software company developing cutting-edge geological modelling software that integrates explicit and implicit techniques with the latest advances in voxel surface reconstruction, machine learning and artificial intelligence. We seek a visionary Geological Modelling Scientist to drive our technical development and help revolutionize how geoscientists interact with complex subsurface data.

About Our Company

We are a forward-thinking geoscience technology company committed to developing next-generation geological modelling software that combines traditional methodologies with advanced AI and other capabilities. Our mission is to create intuitive, powerful tools that enhance accuracy, efficiency, and geological understanding for resource exploration, environmental assessment, and research.

Role Overview

As a Geological Modelling Scientist, you will bridge the gap between classical geological modelling techniques and modern computational approaches. You will help spearhead the development of our core modelling algorithms; help oversee technical implementation and help establish the scientific foundation for our innovative software platform. This role offers a unique opportunity to shape an emerging technology from its inception and make a significant impact on the geoscience software landscape.

Key Responsibilities

• Design and development of our geological modelling software architecture, integrating explicit and implicit modelling techniques with voxel surface reconstruction, and machine learning and other AI algorithms
• Develop and implement innovative algorithms that enhance traditional geological modelling methods using AI / ML approaches
• Collaborate with software engineers to translate geological concepts into efficient code and user-friendly interfaces
• Stay at the forefront of geological modelling research and technology, identifying new methodologies and technologies for integration
• Design and implement testing protocols to validate model accuracy and performance across diverse geological settings
• Apply advanced geostatistical and spatial statistical techniques to model geological variability, perform stochastic simulations, and quantify subsurface uncertainty for improved decision-making.

Required Qualifications

• PhD in Mathematics, Statistics, Geology or related field with specialization in geological modelling, structural geology, or computational geoscience
• Understanding of 3D geological modelling principles
• Proficiency in programming languages relevant to scientific computing (Python, R, C++, or similar)
• Demonstrated ability to apply mathematical concepts (e.g., interpolation, kriging, radial basis functions, spatial statistics) to geological problems
• Canadian citizen and located in Toronto GTA area

Preferred Qualifications

• Background in geospatial data analysis, remote sensing, or digital outcrop modelling
• Experience with geological uncertainty quantification and risk assessment and applying machine learning to geoscience problems

Technical Skills

• Knowledge of geological modelling software and workflows
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn for developing and applying AI models to geoscience data.
• Understanding of 3D visualization techniques and geospatial data management
• Understanding stochastic analysis, geostatistical and spatial statistical techniques to model geological variability.

Compensation and Benefits

We offer a competitive compensation package commensurate with experience and qualifications, including :

• Equity options

Location

This position is primarily on-site at our headquarters, with some flexibility for remote work. Occasional travel may be required for field validation, conferences, or client meetings.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Design, Art / Creative, and Information Technology

Software Development

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