Aeravox Dynamics · 9 hours ago
Complex Systems Diagnostics Intern
Aeravox Dynamics is seeking a motivated and detail-oriented summer intern to join the Fleet Health Management and Remote Diagnostics team. The intern will support the development of a unified Vehicle and Fleet Health Management framework, focusing on predictive diagnostics and intelligent fault management across vehicle platforms.
Aviation & Aerospace
Responsibilities
Support Fleet Health Management (FHM) and Prognostics and Health Management (PHM) initiatives
Contribute to the development of a unified framework for monitoring and managing vehicle health across individual vehicles and fleets
System Health Modeling: Develop models that represent the health of vehicle components, subsystems, and full systems using telemetry data, engineering design inputs, and software diagnostics
Knowledge Base Development: Assist in creating a flexible and scalable diagnostic knowledge base that integrates vehicle architecture, hardware, and software and supports multiple trims and vehicle types
AI/ML-Driven Fault Detection: Apply machine learning methods to detect early indicators of failure, identify root causes, and recommend mitigation actions before issues escalate
Knowledge Graph & LLM Integration: Explore the use of knowledge graphs and large language models to improve fault reasoning, automate diagnostic logic generation, and enhance system scalability and explainability
Build a flexible and scalable knowledge base that integrates vehicle architecture, hardware, and software and can be applied across multiple trims and vehicle types
Work closely with technical specialists and system architects to translate engineering knowledge into practical diagnostic and prognostic models
Qualification
Required
Strong understanding of AI/ML techniques within Prognostics and Health Management (PHM), with a focus on early failure detection, fault isolation, and mitigation
Strong foundation in systems engineering or vehicle architecture
Experience in data analysis and machine learning, particularly time-series analysis and anomaly detection
Familiarity with PHM concepts
Exposure to knowledge representation approaches such as knowledge graphs
Proficiency in Python or similar programming languages with relevant AI/ML libraries
Excellent written and verbal communication skills
Ability to work independently as well as collaboratively in a team environment
Academic background in Electrical Engineering, Mechanical Engineering, or a related field
Currently enrolled in a Master's or PhD program at an accredited university
Proof of enrollment in the current or upcoming academic program (MS or PhD)
Experience with vehicle telemetry systems or signal processing
Familiarity with large language models or generative AI frameworks
Exposure to semantic modeling or ontology development
Company
Aeravox Dynamics
Aeravox Dynamics works at the intersection of aviation science, aerodynamics, and advanced materials to shape the future of aerospace engineering.
Funding
Current Stage
Early StageCompany data provided by crunchbase