Research Scientist – Automated Planning and Decision Making

Schlumberger Gould Research Center 
Cambridge UK
Salary: £38,000 - £120,000 depending on experience + excellent benefits

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.

We are seeking a talented, creative scientist to work in our multidisciplinary team charged with 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 sometimes unpredictable physical environments to reach targets more than 10 km from the drilling rig.

Schlumberger is developing new drilling systems, which will have high degree of autonomy with supervisory control and will change the way the industry drills wells. As part of our commitment to innovation, the Schlumberger Gould Research Centre is seeking research scientists to focus on the fundamental science and technology needed to develop these systems.

Job Description

Successful Research Scientists work on challenging problems, develop new drilling systems, are good communicators, enjoy solving problems, and work well in teams.

Responsibilities

• Considers uncertainty, measurement delay and cost optimization.
• Develops and applies techniques for automated planning and decision-making for drilling operations.
• Tests and validates systems through simulations and full-scale experiments conducted at drilling rigs.
• Maintains and expands knowledge of planning and other related fields.
• Publishes research papers, writes and presents internal technical reports and patents.

Qualifications

• PhD degree in artificial intelligence or related field.
• Competency in algorithm development and implementation required.
• Understands automated planning, uncertain reasoning techniques, Markov decision processes, temporal planning and POMDPs.

To apply, send a detailed CV with a list of publications to careers.slb.com/APDM via the 'Apply' button below

Closing date is October 31, 2013. 
Appointments at both junior and senior level will be considered.

Employer – Schlumberger Cambridge Research Ltd
Schlumberger is an equal opportunities employer.