Description
Controls and Automation Engineer
Experience Level: Experienced Hire
Job Family: Engineering/Science/Technology
Product Service Line: Sperry Drilling Svcs
Full Time / Part Time: Full Time
Location: Houston, TX, US
Required Education and Skills
A PhD (or equivalent experience) from Mechanical Engineering, Aerospace Engineering, Computer Science, Chemical Engineering, or Electrical Engineering with a focus on Control Theory and Applications, Robotics, Mechatronics, Machine Learning, or Data Analytics.
Experience and strong interest in solving practical problems, from invention to implementation in the field
An excellent publication and patent record consistent with experience.
Extensive knowledge in control theory, such as modern control, adaptive control, robust control, nonlinear control, optimal control, Model Predictive Control, etc., with outstanding ability to identify the proper control method for solving practical control problems and, when necessary, to develop new control methods, and/or
Extensive knowledge and practical experience in the application of Data Analytics including machine learning techniques such as SVM, Neuro Network, Bayes network, Genetic Algorithms, etc., preferably with control applications, and/or
Knowledge of robotic systems with high DoF control, path planning, mechatronics, or dynamic modeling of complex systems
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Skills typically acquired through the completion of an undergraduate degree in Science, Engineering or similar discipline, and 2 years of related experience. Completion of a masters or PHD in Science or Engineering is preferred
Preferred Experiences
Worked with large data sets, unstructured data, structured data and supporting compute/cloud systems like Microsoft Azure
Built tools/workflows and support structures needed to analyze data, perform data cleaning, execute feature detection and extract business value from data
Developed models, control algorithms, workflows, & software for use in field operations.
Leveraged data visualization software applications, such as R, Power BI, Spotfire or Tableau
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