The official conference app for 14th Annual Conference of the PHM Society Conference 2022 (PHM2022)

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Jobs Posted on the Whova Community Board of 14th Annual Conference of the PHM Society Conference 2022 (PHM2022)

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Engineer/Data Scientist
Caterpillar Inc.
Full time position in the Caterpillar Large Power System Division Analytics and Condition Monitoring team.

Job Description
Analyze and execute customer input to create high confidence condition monitoring content. Investigate equipment failures to diagnose faulty operation and make recommendations on maintenance.

Skills: Coding, initiative, verbal and written communication skills, analytical and problem solving ability, applied machine learning experience. Team player and detail oriented. Displays attributes of a critical thinker and leverages innovative ideas. Strong leadership and mentoring skills. Expert ability to code and analyze data and apply analytical/statistical techniques to produce actionable information and recommendations. Previous experience with coding, machine learning, applied statistical techniques, engineering, ideally with engines.

Position Contribution
The individual will code condition monitoring power systems content into engineering and commercial content. Analytical, statistical, and machine learning techniques will be applied. Individual will work with the team to individually contribute to project work. This may involve original development or replication and tuning of existing content to new applications. Data mining will also be an expectation. Engineering knowledge will be applied with analytics/statistics to confirm that answers make sense and do not conflict with real world physics.

The position I am hiring for is a rotational engineering position (first link below). I have included a link to other analytics jobs at Caterpillar as well.

Full Time Positions:
Lead Prognostics Controls Engineer
GE Aerospace
The Lead Prognostics Engineer will play a crucial role in contributing to the development of next generation techniques and algorithms for engine predictive analytics and health monitoring for future military applications as part of a cross organizational team of engineers. In this role you will integrate with Control Systems, Electrical, Fuel, and Engine System teams to optimize the engine Prognostics design, while contributing to the overall business strategy for next generation engine applications.
Advanced Lead Engineer-Controls and PHM Engineering
GE Aerospace
The Advanced Lead Engineer - Controls and PHM (Prognostics and Health Management) Engineering demonstrates leadership in communicating business goals, programs, and processes for an area or business segment; has experience and/or expertise to solve problems; and is able to develop and execute objectives for self and others. In this role, you will lead and support the design, implementation, and testing of application software for T901/FARA engine controls, including control algorithms and engine health monitoring/prognostics functions.
Opportunity for students: Data Analytics & Applied Data Science Intern – 6 - 13 months internship
SLB (Schlumberger Cambridge Research)
The candidate role is to work with one or more research and data scientists helping to develop workflows and applications to solve problems towards our Energy Transition and Well Construction efficiency goals. This will involve advanced data analysis, automated decision-making, and user interfacing.

Depending on your personal interest and duration of the internship, you can also be assigned projects to research and implement algorithms for data analysis, PHM, AI/ML implementation or AI planning.

(More detailed description can be seen via LINK)

* Good programming skills in Python
* Passionate interest in data science, analysing large volumes of data and understanding and solving domain challenges
* Excellent written and oral communications skills, as well as the ability to work as part of a project team
* Highly independent and motivated to learn and acquire new technical skills
Knowledge and experience in any of the following is a plus:
* Matlab, SQL, Python and ML libraries (Tensorflow, Pytorch)
* Machine learning and deep learning algorithms
* Development of Web Applications
Staff Analytics Engineer
GE Aerospace
The Staff Analytics Engineer will be responsible for delivering new analytics solutions for off board prognostics and health management of military engines, including hardware condition models, maintenance work scope and predictive flight analysis.

You will leverage standard suite of platform and core module analytics & algorithms, software application capabilities, strong engineering & analytics backgrounds. You will engage key technical & subject matter experts (SMEs) across the business for knowledge capture into the solutions and deploy those solutions to the field for use. You will mentor other engineers in analytics development process and methods.
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