Controls/ Data Analytics Engineer (Senior - Advisor)

Job description

The Advanced Controls COE is Looking for YouHalliburton invites qualified candidates to apply for a position with the Advanced Controls Center of Excellence (COE) in Houston, Texas. Candidates with interests and background in control systems theory, robotics, mechatronics, dynamic modeling, or data analytics and machine learning are encouraged to apply. This position provides an opportunity to participate in a strategic research and development program shaping the industry’s future technology. By solving challenging technical problems you can have a rapid impact on a commercial market with significant revenue. Successful candidates are expected to perform original and relevant research and development to expand the group’s expertise and technology portfolio. The Advanced Controls COE at Halliburton encourages a culture of continued learning, inventing, and innovating by bringing together a diverse group of top notch engineers and researchers. The group has a track record of developing advanced control and smart systems that are used to produce value around the world every day. Our goal is to continuously grow the group’s core research expertise in the area of control, robotics, dynamic modeling, filtering, data analytics, and machine learning to build advanced automation and control technologies and maximize the value of data to ensure the long-term success of Halliburton. ResponsibilitiesConducting research and development in modeling, control, and data analytics for solving challenging problems in the oil & gas industryContributing to the identification of high value problems and opportunitiesParticipating in control system design, control system prototyping, and implementationDesign smart systems to augment complex tasksCollaborating with team members and providing necessary support for technology transferPublishing results in patent applications, technical journals, and conferences Required Education and SkillsA 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 AnalyticsExperience and strong interest in solving practical problems, from invention to implementation in the fieldAn excellent publication and patent record consistent with experienceExtensive 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 methodsExtensive 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 applicationsKnowledge of robotic systems with high DoF control, path planning, mechatronics, or dynamic modeling of complex systemsDemonstrated teamwork, strong communication skills, and collaborative in complex engineering projectsSkills 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 ExperiencesWorked with large data sets, unstructured data, structured data and supporting compute/cloud systems like Microsoft AzureBuilt tools/workflows and support structures needed to analyze data, perform data cleaning, execute feature detection and extract business value from dataDeveloped models, control algorithms, workflows, & software for use in field operations. Leveraged data visualization software applications, such as R, Power BI, Spotfire or Tableau Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher-level roles give (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Senior Scientist Physics, Principal Scientist Physics up to the Advisor Scientist Physics (Controls/ Data Analytics Engineer)

We offer

We invest in our employees through competitive compensation plans, health benefits, work-life programs, and reward and incentive plans. We have the right people to develop the right technologies and bring innovative solutions to the industry – and we value those people as an unmatched competitive advantage.