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For Companies At a Glance
- Tasks: Apply cutting-edge machine learning to solve geoscience challenges and innovate subsurface interpretation.
- Company: Join a leading global energy provider focused on innovation and employee growth.
- Benefits: Competitive salary, career development opportunities, and a collaborative work environment.
- Why this job: Shape the future of geoscience while working with advanced technologies and talented teams.
- Qualifications: Honours degree in geoscience and strong Python programming skills required.
- Other info: Dynamic role with opportunities for publications and patents in a supportive R&D setting.
The predicted salary is between 28800 - 48000 £ per year.
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.
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
- Honours degree (2:1 or above) in 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.
AI / ML Implementation:
- 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.
- Experience in the energy sector.
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, colour, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
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.
Machine Learning Geoscientist - Jr in Abingdon employer: Halliburton
Contact Detail:
Halliburton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Geoscientist - Jr in Abingdon
✨Tip Number 1
Network like a pro! Reach out to professionals in the geoscience and machine learning fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML in geoscience. Whether it's a GitHub repository or a personal website, let us see your work in action. This is your chance to shine and demonstrate your expertise beyond the CV.
✨Tip Number 3
Prepare for the interview like it’s the final exam! Research the company and its recent projects in subsurface interpretation. Be ready to discuss how your skills in Python and ML frameworks can contribute to their goals. We want to see your passion and how you can innovate with them!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team. Don’t forget to follow up after applying; a little nudge can go a long way!
We think you need these skills to ace Machine Learning Geoscientist - Jr in Abingdon
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for machine learning and geoscience shine through. We want to see that you’re genuinely excited about tackling subsurface challenges and how you can contribute to our innovative team.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in geoscience and machine learning. We love seeing specific examples of your work with subsurface datasets and any projects where you've applied AI/ML techniques.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that communicate your skills and experiences effectively. Avoid jargon unless it’s necessary, and make sure we can easily understand your qualifications.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at StudySmarter.
How to prepare for a job interview at Halliburton
✨Know Your Geoscience Stuff
Make sure you brush up on your knowledge of stratigraphy, sedimentology, and petroleum geology. Be ready to discuss how your understanding of these areas can apply to machine learning in geoscience. This will show that you're not just a tech whiz but also have a solid grasp of the geological concepts.
✨Show Off Your Python Skills
Prepare to talk about your experience with Python and any ML frameworks like TensorFlow or PyTorch. Bring examples of projects where you've implemented AI/ML algorithms, especially those related to subsurface datasets. This will demonstrate your technical prowess and relevance to the role.
✨Communicate Like a Pro
Since excellent communication is key, practice explaining complex concepts in simple terms. Think about how you would describe your past projects to someone without a technical background. This will help you connect with the interviewers and showcase your teamwork skills.
✨Stay Current and Curious
Research the latest advancements in AI/ML and geoscience before your interview. Being able to discuss recent trends or breakthroughs shows your passion for the field and your commitment to innovation. It’s a great way to impress the interviewers and demonstrate your eagerness to contribute.
