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The ASML BLAPPS department develops a wide range of tools and applications to support monitoring, control, and issue analysis in semiconductor fabs. These solutions are produced by different teams for distinct use cases, using diverse languages, frameworks, and deployment models—from JavaFX and Delphi desktop clients to React based web applications. Maintaining this heterogeneous technology stack and multiple deployment targets is inefficient and costly. Consequently, availability is inconsistent: some applications are accessible to Customer Support (CS), while others are only available to customers, because not all deployment platforms are supported across both groups.
ASML is transitioning to an on‑premises cloud platform, the Virtual Computing Platform (VCP), which provides scalable resources for workloads ranging from web applications to long‑running processing pipelines. Many analytics, monitoring, and control solutions now run on VCP. However, several legacy desktop applications remain unmigrated. For example, we have a metrology data diagnostics tool which is still a desktop client and not available as a VCP‑accessible web application.
This internship will explore AI‑assisted approaches to accelerate the migration of desktop applications to the web. As a proof of concept, the project will select one existing desktop tool and deliver a functional web‑based version running on VCP.
To be suitable for the internship, you:
Other requirements you need to meet:
We're moving technology forward
In fact, we’re probably a part of the electronic device you’re using right now. Our lithography technology is fundamental to mass producing semiconductor chips. With it, the world’s top chipmakers are creating microchips that are more powerful, faster and energy efficient.
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