Jobs Posted on the Whova Community Board of 16th Annual Conference of the Prognostics and Health Management Society (PHM2024)
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React Developer
Shipcom AI Job Title: React Developer Key Responsibilities
• Develop new user-facing features using React.js. • Build reusable components and front-end libraries for future use.... • Translate designs and wireframes into high-quality code. • Optimize components for maximum performance across a vast array of web-capable devices and browsers. • Collaborate with back-end developers and web designers to improve usability. • Maintain code quality, organization, and automation. • Write unit tests, and participate in code reviews. • Troubleshoot and debug existing code to ensure quality and stability. Requirements
• Proven experience (3+ years) as a React Developer. • Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model. • Thorough understanding of React.js and its core principles. • Experience with popular React.js workflows (such as Flux or Redux). • Familiarity with RESTful APIs, modern authorization mechanisms (such as JSON Web Token), and front-end build pipelines and tools. • Proficient understanding of code versioning tools, such as Git. • Familiarity with newer specifications of ECMAScript. • Familiarity with front-end development tools such as Babel, Webpack, NPM, etc. • Ability to understand business requirements and translate them into technical requirements. • Experience with browser testing, debugging, and performance optimization. • Excellent problem-solving skills and attention to detail. • Knowledge of responsive design and cross-browser compatibility.
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Staff Data Scientist – Prognostics and Health Monitoring
Joby Aviation Responsibilities
Develop models and scalable algorithms derived from both data and underlying physics to evaluate the condition of electro-mechanical systems Create pred... ictive models of physical degradation, failures, and data-driven prognostics algorithms to assess the health and performance of critical components Formulate health monitoring strategies to detect anomalies/outliers in real flight data Conduct research and development projects concentrating on Prognostic Health Management (PHM) and Condition Based Maintenance Plus (CBM+) in diverse application areas Gather and analyze equipment lifecycle history, including failure modes, downtime, MTBF, etc. Address complex questions regarding fleet usage and behavior to facilitate proactive monitoring, enhance reliability, and minimize field failures Wrangle data from a multitude of formats and systems (Avro, TDMS, PostgreSQL, AWS, etc.) Conduct data analysis and interpret sensor data from a number of physical tests (aircraft, simulators, reliability test equipment, subsystem tests, etc.) Collaborate with cross-functional teams and subject matter experts to integrate prognostic solutions into existing systems and workflows Support field testing and validation efforts, working closely with test engineers and technicians to validate prognostic models in real-world environments Automate data collection and processing algorithms, including the generation of Machine Learning/Deep Learning models for automatic data labeling and anomaly detection Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirements Stay current with advancements in machine learning, particularly in the areas of data-driven prognostics and physics-based machine learning The primary location for this role is in Santa Cruz CA. but an alternate location of San Carlos, CA. is also possible.
Northrop Grumman The ideal candidate should have a background in Health Management (HM), with a particular focus on Prognostics and Diagnostic processes, analysis, and design for integrated system... s. The candidate should also have a strong foundational understanding of Reliability and Maintainability (R&M) engineering analyses and processes
Job Duties: * Analyze various types of flight/fault logs, assign Fault Identification (FID) codes, and host customer BIT Review Boards (BRB) * Coordinate with stakeholders, suppliers, and customers, internally and externally, in support of improving Built-In-Test (BIT) Fault Detection, Fault Isolation and BIT False Alarm performance metrics * Formulate health monitoring strategies to detect anomalies/outliers in real flight data * Conduct research and development projects concentrating on Prognostic Health Management (PHM) and Condition Based Maintenance Plus (CBM+) * Gather and analyze component and WRA failure history, including failure modes, downtime, MTBF, power cycles, reboots, repeat faults, etc. * Address complex questions regarding fleet usage and behavior to facilitate proactive monitoring, enhance reliability, and minimize field failures
Basic Qualifications: * Bachelor’s Degree from an accredited college in a relevant STEM discipline with 5 years of experience; OR a Master’s Degree in a STEM field with 3 years of experience; OR a STEM PhD * Experience within Health Management, Prognostics, Diagnostics, and/or Reliability & Maintainability Engineering disciplines * Previous experience, including academic research, directly related to the development of Prognostics Health Management (PHM) or Condition Based Maintenance Plus (CBM+) technologies, or analysis and simulation of complex electrical or mechanical systems * Must have an active DoD Secret clearance prior to starting, along with the ability to obtain and maintain a Top-Secret clearance
GE Aerospace Enhance engine health monitoring services for airline customers by providing early detection and Customer Notification Reports (CNRs) to maximize aircraft utilization and engine r... eliability. Develop prognostic analytics to detect engine distress modes from flight data, minimizing significant events. Provide technical assistance for engine operation, maintenance, and troubleshooting, while driving fleet stability through active performance analysis and collaboration with cross-functional teams.
GE Aerospace Enhance engine health monitoring services for airline customers by providing early detection and Customer Notification Reports (CNRs) to maximize aircraft utilization and engine r... eliability. Develop prognostic analytics to detect engine distress modes from flight data, minimizing significant events. Provide technical assistance for engine operation, maintenance, and troubleshooting, while driving fleet stability through active performance analysis and collaboration with cross-functional teams.
