Schlumberger is the world’s leading supplier of technology, integrated project management and information solutions to customers working in the oil and gas industry worldwide. Employing more than 120,000 people representing over 140 nationalities and working in approximately 85 countries, Schlumberger provides the industry’s widest range of products and services from exploration through production.
Job title: Research Scientist, Automated Planning and Decision Making
Location: Cambridge – United Kingdom
Application Closing Date: January 9, 2015
The Research Scientist, Automated Planning and Decision Making, is responsible for creating novel drilling technologies and techniques to access and enable development of hydrocarbon reservoirs. Achieving reservoir access often involves drilling and navigating through geometrically complex, extended conduits in unpredictable environments to reach targets more than 10 km from the drilling rig.
The candidate will help develop automated planning and decision-making technologies for autonomous control of drilling systems, as well as other related domains. The role involves algorithm development, domain modelling, and integration with other aspects of an automated drilling system including monitoring, control, and system modelling.
Successful Research Scientists focus on the fundamental science and technology needed to develop these new drilling systems. They enjoy working on challenging problems, are good communicators, and work well in teams.
- Develops and applies techniques for automated planning and decision-making to drilling operations.
- Tests and validates systems through simulations and full-scale experiments.
- Maintains and expands knowledge of planning and other related fields.
- Publishes research papers, writes and presents internal technical reports and patents.
- PhD degree in artificial intelligence or related field.
- Competency in algorithm development and implementation.
- Understanding of one or more of: automated planning, domain modelling for planning, combinatorial search, Markov decision processes and POMDPs.
- Experience with Bayesian reasoning, control or robotics an advantage.
Please attach a list of publications to your application and CV.
Appointments at both junior and senior level will be considered.
The Schlumberger Gould Research Centre offers a stimulating and vibrant research environment with excellent ties to research groups worldwide, a unique combination of fundamental and industrial research into real-world problems, and the opportunity to take part in large-scale international projects.
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