Software Engineering / AI Engineering Intern
At a glance
Junior AI Engineering role at Thermofisher. Eindhoven · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Map how service engineers investigate one TEM fault, then select useful records and technical guidance
- Weigh structured search, rule-based diagnosis and an LLM assistant for using system history and service knowledge
- Create a prototype that proposes fault causes and diagnostic checks, and shows its supporting evidence
- Assess accuracy, time to diagnose and usability with past cases and service engineer feedback
- Deliver a research plan, documented prototype, evaluation, graduation thesis, presentation and development advice
What you bring
- You are studying Software Engineering at HBO or WO level and are ready to start a graduation project
- You have programming experience, ideally with C#; Python is another acceptable option
- You understand software design, testing and version control, and can analyse data methodically
- You can work on your own, collaborate with engineers and service specialists, and communicate well in English
Who this fits
This graduation project suits a Software Engineering student interested in technical diagnosis; curiosity about AI, machine learning or information retrieval is a plus. The role is based in Eindhoven and follows a standard Monday-to-Friday schedule.
From the employer
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
Graduation assignment: Data-assisted diagnosis and predictive maintenance
Level: HBO bachelor or WO bachelor/master graduation project
Relevant studies: Software Engineering
Location: Thermo Fisher Scientific, Eindhoven R&D, Transmission Electron Microscopy (TEM)
Introduction
Thermo Fisher Scientific develops technologies and services that help customers make the world healthier, cleaner, and safer. Eindhoven is its primary technology location for Transmission Electron Microscopy (TEM), bringing together R&D, manufacturing, and service expertise. Thermo Fisher Scientific in Eindhoven
TEM instruments use electrons to reveal structures at extremely small scales, supporting research in life sciences and materials science. This assignment explores how software can help engineers diagnose problems in these complex instruments more efficiently.
Background and objective
Service engineers use system logs, bug reports, calibration files, and technical procedures to investigate failures. This information is often spread across multiple sources, making diagnosis time-consuming and dependent on individual experience.
The objective is to develop and evaluate a software prototype that combines historical system data with service knowledge to suggest likely causes and useful diagnostic checks.
Research question
How can historical system data and service knowledge support faster and more reliable diagnosis of a selected TEM system problem?
The student will investigate which data sources are useful, compare suitable technical approaches, and measure the prototype’s value against the current diagnostic process.
Scope and approach
The project focuses on one failure mode or a closely related group of problems, such as an offline module or recurring performance issue.
The student will:
- Analyse the current diagnostic process with service engineers.
- Assess and prepare relevant data and technical documentation.
- Compare approaches such as structured search, diagnostic rules, and an LLM-based assistant.
- Build a prototype that provides diagnostic suggestions with supporting evidence.
- Evaluate diagnostic accuracy, diagnosis time, and usability using historical cases and engineer feedback.
The prototype is intended for internal evaluation. Predictive maintenance may be explored as an extension if sufficient degradation or failure data is available.
Deliverables
- A research plan and assessment of available data.
- A working prototype with documented code and usage instructions.
- An evaluation against the current diagnostic approach.
- A graduation thesis, final presentation, and recommendations for further development.
Intern requirements
We are looking for a student who:
- Is enrolled in an HBO or WO Software Engineering programme and is ready to start a graduation assignment.
- Has programming experience, preferably in C#. Python is also acceptable.
- Understands software design, testing, and version control.
- Can analyse data and approach technical problems systematically.
- Can work independently and collaborate with software engineers and service specialists.
- Communicates clearly in English, both verbally and in writing.
An interest in AI, machine learning, or information retrieval is welcome. Prior knowledge of electron microscopy is not required.
Apply today!
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