Machine Learning Geoscientist - Jr

Unlock Your Potential in Geoscience and AI: A Review of the Research Scientist Opportunity

For ambitious individuals eager to blend their passion for geoscience with the transformative power of artificial intelligence, this Research Scientist role presents a compelling career advancement opportunity. This position, situated within the innovative environment of Landmark Software & Services, a global leader in the energy industry, offers a unique platform to contribute to cutting-edge research and development.

What Makes This Opportunity Stand Out?

• Pioneering Innovation: You'll be at the forefront of applying machine learning to complex subsurface geoscience challenges. This is your chance to shape the future of subsurface interpretation and modeling, directly impacting the global energy sector.
• Growth and Development: The company emphasizes investing in its employees. This role provides ample opportunity for professional growth, learning, and career progression, especially for those looking to deepen their expertise at the intersection of geoscience and AI.
• Impactful Work: Contribute to the research and development of new products, processes, and procedures. Your work will have tangible results and will be crucial in enhancing geological realism and automating interpretation.
• Collaborative Environment: You will join a collaborative research and development team, working alongside multidisciplinary colleagues. This fosters a dynamic atmosphere where knowledge sharing and teamwork are paramount.
• Industry Exposure: Gain invaluable experience within one of the world's largest providers of products and services to the global energy industry. This offers a broad perspective on industry needs and challenges.
• Recognition and Contribution: Opportunities exist to contribute to publications, patents, and technical presentations, allowing you to build your professional profile and share your innovations with the wider scientific community.

Key Considerations for Aspiring Candidates:

• Academic Foundation: A strong academic background is essential, with an Honors degree (2:1 or above) in geoscience being a prerequisite. This ensures a solid theoretical understanding of core geological principles.
• Industry Experience: While considered an entry-level role, the requirement for 2-5 years of relevant industry experience indicates a preference for candidates who have already gained practical exposure to geoscience domains like stratigraphy, sedimentology, or petroleum geology.
• Technical Prowess: Proficiency in Python programming and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn are critical. This role demands hands-on application of these technologies.
• Domain Knowledge: A robust understanding of subsurface datasets (e.g., wireline, seismic, biostratigraphy) is crucial for effectively applying AI/ML techniques to real-world geological problems.
• Problem-Solving Skills: The role involves designing and implementing AI/ML algorithms, validating predictive models, and contributing to innovation. Strong analytical and problem-solving abilities will be highly valued.
• Communication and Teamwork: Excellent communication and teamwork skills are vital for success in a collaborative R&D setting and for occasional client interactions.
• Desirable but Not Essential: While proven application of AI/ML in geoscience projects and prior experience in the energy sector are desirable, they are not strictly required, offering an avenue for ambitious individuals from related fields to transition.

This position in Abingdon, Oxfordshire, is an exceptional chance for driven individuals to make a significant impact, grow their careers at the cutting edge of technology, and contribute to the critical challenges of the energy sector. If you possess a passion for geoscience, a knack for AI, and a desire to innovate, this role offers a rewarding path forward.