Machine Learning Geoscientist - Jr
Indexed description
Job Duties
Are you passionate about applying cutting-edge machine learning to subsurface geoscience challenges? Join our geoscience research team at Landmark Software & Services, where innovation meets geological expertise. Based in our Abingdon office, you’ll help shape the future of subsurface interpretation and modelling.
Key Responsibilities
Under supervision, applies theories, principles and practices to the research and development of new and improved products, processes and procedures. Performs research and experimentation at the direction of technology leadership. Communicates occasionally with technical clients.
Required Qualifications & Skills
- Honors degree (2:1 or above) geoscience.
- 2 - 5 years relevant industry experience
- Strong understanding of specific geoscience domains such as stratigraphy, sedimentology, or petroleum geology.
- Experience of working with subsurface datasets (e.g., wireline, seismic, biostratigraphy).
- Strong python programming skills and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Excellent communication and teamwork skills in a collaborative R&D environment.
- Design and implement AI/ML algorithms to automate and enhance geological interpretation.
- Develop AI/ML algorithms to improve geological realism in subsurface models.
- Validate predictive models using blind test datasets and real-world scenarios.
- Work closely with colleagues from multiple disciplines to refine and enhance workflows.
- Stay current with AI/ML and geoscience advancements to drive innovation.
- Contribute to publications, patents, and technical presentations.
- Proven application of AI/ML in geoscience projects.
- Experience in the energy sector.
Location
97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom
Job Details
Requisition Number: 204383
Experience Level: Entry-Level
Job Family: Engineering/Science/Technology
Product Service Line: [[division]]
Full Time / Part Time: Full Time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
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