Schlumberger Gould Research Center
Cambridge UK

Research Scientist - Control Systems

£38,000 - £85,000 per annum + benefits
35 hours/week

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 two talented, creative scientists to work in multidisciplinary teams 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. Reaching the reservoir requires overcoming challenges in materials science for rock destruction, in geomechanics for hole stability, and in the physics and mechanics of complex interactions in dynamic systems.

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.

The successful candidate is expected to organize challenging problems, develop new solutions, and work with business and development teams to ensure these solutions have a significant impact.

Responsibilities

• Considering uncertainties and measurement delays, develop and apply techniques for real-time control.
• Test and validate your control systems through simulations and full-scale experiments conducted at drilling rigs.
• Maintain and expand your knowledge of control systems; keep up to date with developments in this field.
• Publish research papers, write and present internal technical reports, and patents.

Qualifications

• PhD degree in control systems engineering or equivalent.
• Understanding of various control techniques, such as robust or adaptive control, or model-predictive and stochastic control.
• Experience in development and deployment of real-world control systems.
• Strong teamwork and communication skills.
• Competency in real-time model parameter estimation and algorithm development and implementation.

To apply, please click the APPLY button below, sending a detailed CV with a list of publications and quoting the reference RSMCD.

Closing date is May 31, 2013.

Appointments at both junior and senior level will be considered.

Employer – Schlumberger Cambridge Research Ltd

Schlumberger is an equal opportunities employer.

SOC Code: 2119