Machine Learning Geoscientist - Jr
Halliburton
Abingdon, United Kingdom
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Junior Compensation
£ 34KJob location
Abingdon, United Kingdom
Tech stack
Artificial Intelligence
Python
Machine Learning
TensorFlow
PyTorch
Scikit Learn
Job description
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., 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., * 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.
Collaboration & Innovation
- 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.
Desirable Experience
- Proven application of AI/ML in geoscience projects.
Requirements
- 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., * Experience in the energy sector.
Benefits & conditions
£34,016 per year - estimated ? Full time We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.