Internship Training
Air Products
Date: 2 weeks ago
City: Dhahran
Contract type: Full time
At Air Products, we reimagine what’s possible. By tapping into the motivation of our people and our collective experience, we create the ideas and innovations that drive us forward. When we come together – where every voice is heard and everyone knows they belong and matter – we create solutions that launch people into space, support lifesaving care in hospitals, and enable the construction of groundbreaking, world scale production facilities.
Reimagine What’s Possible
POSITION SUMMARY
Reimagine What’s Possible
POSITION SUMMARY
- The CO-OP will be part of a technology team for Air Products new technology center in Dhahran Techno Valley (DTV) in Saudi Arabia.
- The candidate will work on Reliability Modeling techniques for applications in Oil & Gas Process Plants.
- Primary focus will be on learning reliability theory, data collection and preparation, writing Python code and modules, and preparing best practices in applying the models and algorithms for industrial applications.
- Understand and validate the underlying methods in Reliability Modeling (Cox proportional hazard) algorithms and assess for use in the application.
- Troubleshoot problems in installation of firmware and setting up of a data pipeline.
- Collect data from plant operations and interpret and prepare them for evaluation by the model.
- Write basic Python code for automating the modeling task using specific python libraires for reliability models.
- Apply algorithms to field data, arrive at performance metrics and methods to improve performance.
- Document and present test cases and best practices.
- Familiarity with probability theory, reliability models, or Cox proportional hazard model.
- Hands-on experience in coding in Python programming language is required, or alternatively, coding experience with C, C++, VBA or R.
- Previous experience in of any of data processing, statistical modeling, data science/ machine learning, reliability modeling and failure analysis.
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