Posted: Friday, February 2, 2018 12:03 AM
Fulltime - Direct Hire! Awesome benefits from Day 1!
Email me at Lwible@Diversant.com. NO 3rd party resumes will be reviewed or accepted. Ideally looking for local candidates as client will not pay for relocation.
Be a part of a team investigating new techniques to optimize and create new and Client ways to drill a well. Work on new algorithms and methods for optimizing drilling process. Technically challenging environment with an excellent track record of creating new intellectual property through patents and trade secrets.
DUTIES AND RESPONSIBILITIES
Research and develop new algorithms and methods for optimizing the drilling process
Design, validate and implement controls algorithms to manage electrical and mechanical stability of surface and downhole drilling equipment
Analyze and recommend approaches to handling dynamics of the electromechanical systems and their interactions with the drilling string, BHA and surface equipment
Conduct empirical statistical analysis/modeling on relevant data used in drilling controls
Collaborate with the engineering team to implement proposed strategies and algorithms in our technology system
Develop large scale machine learning algorithms for pattern recognition and Bayesian and non-linear systems
MINIMUM QUALIFICATIONS / SKILLS
MS degree in engineering, science or related field, or equivalent practical experience.
5 years of experience in designing and implementing controls systems and dynamic modeling.
5 years of experience with machine learning and construction of algorithms and programming background (C, Python, MATLAB or LabView)
Experience with machine learning.
PhD in engineering, science or related field, or equivalent practical experience.
Well organized and self-paced
Ability to interact with engineers and field operational staff to gather information required for analysis
Effective time management
Experience with dynamic system analysis, feedback control systems (PID Control, MFA)
Experience with modeling/statistical software such as Simulink, R, MATLAB Machine Learning Toolbox.
Familiar with microcontrollers, PLC, sensor technology, signal conditioning, filtering (SW and HW).
Familiarity with basic machine learning algorithms (e.g., linear regression, classification, neural networks) and the math needed to discuss them (linear algebra, probability/statistics)
PHYSICAL REQUIREMENTS / WORKING CONDITIONS
While this position is primarily based in a professional office environment, travel to yards and rigs is essential and required.
• 25% travel is expected
• Location: Houston, Houston, TX
• Post ID: 72215477 houston