Job Description

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At Thermo Fisher Scientific, we enable our customers to make the world healthier, cleaner, and safer. Every day, our teams design and build technologies that push the boundaries of what can be seen, measured, and understood. From atomic-scale imaging to advanced data analytics, we create cutting-edge solutions that empower scientists to make groundbreaking discoveries worldwide.

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Within Thermo Fisher Scientific, the Service Innovation (SI) group, which is a part of the Material Science Department (MSD), specializes in developing digital services that include performance optimization, health monitoring, diagnostics, and remote assistance for our advanced microscopy products.

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The Assignment

An electron microscope operates using a beam of electrons instead of light, allowing it to achieve unprecedented levels of magnification and resolution. It can reveal the intricate details of a cell’s internal structure, the precise arrangement of atoms in a crystal, or the tiny imperfections in advanced materials.

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The incredible precision and power of electron microscopes comes with a crucial requirement: the complexity of the electron microscope is staggering. It involves sophisticated electron optics, powerful electromagnetic lenses, ultra-high vacuum systems, and modern detectors. Even the slightest malfunctioning, disturbance or out of range operation generates a stream of seemingly random alerts, which currently must be assessed manually by service engineers.

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To address this need, we have created a challenging student assignment focused on using Artificial Intelligence (AI) to interpret the stream of alerts generated by an electron microscope. This project is crucial for identifying the root causes of alerts, as well as automating, scaling, and accelerating alert assessment and handling.

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This assignment will be conducted within the MSD SI group in collaboration with the R&D department of Thermo Fisher Scientific Inc. It provides a unique opportunity to gain valuable experience applying artificial intelligence to industrial applications and offers insights into the dynamic environment of Thermo Fisher Scientific Inc., a leading multinational company in the scientific industry.

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Responsibilities

• Establish a Proof of Concept (PoC) for AI-assisted alert management for electron microscopes.
• Interpret real-time alert streams, logs, and health monitoring data to detect malfunctions.
• Generate alerts to prompt service engineers for investigation.
• Develop a Work Breakdown Structure and planning.
• Invent the architecture of the AI-based alert handling system.
• Evaluate system performance using tools like Dataiku.
• Detail the AI system's realization process.
• Share findings and showcase the prototype to collaborators.

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Required Skills

• Enrolled in a Master’s or advanced Bachelor’s program in Artificial Intelligence, Computer Science, Data Science, or a related field.
• Strong preference for proficiency in Python.
• Familiarity with common AI/ML concepts and methods is preferred.
• A problem-solving approach with the ability to analyze alert patterns, identify improvement opportunities, and propose algorithmic solutions.

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What We Offer

• The opportunity to contribute to the development of world-leading microscopy technologies that drive scientific breakthroughs.
• Mentorship from experts in microscopy and artificial intelligence.
• Experience with real experimental data and advanced analysis pipelines.
• Hands-on experience with dedicated AI computing facilities and access to advanced tools for model development and testing.
• Collaboration and knowledge exchange with AI specialists, offering first-class opportunities for learning and discussion.
• A dynamic and inspiring international workplace where curiosity, innovation, and excellence are valued.

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