Software Engineering internship: web-based throughput prediction tool

During this internship, you will explore how a complex modelling application can better serve diverse users. You will assess current usage, translate needs into design choices, and help shape a future-proof solution. The desire is to move into a web-based application where security is an integral part. Individual users must be able to ‘store’ work in progress and be able to pick it up at a later moment. For new models some sort of sandbox environment is required where model alterations can be tested and improved without interfering with ‘production’ code. The assignment offers flexibility to align with your learning goals, whether you prefer usability research, prototyping, or hands-on development. Your main responsibilities will be:

• Evaluate the current modelling application and understand existing use cases;

• Spend some time with the tool code - the tool code base is a mix of Excel, some Visual Basic and a lot of Python code. Early try-outs with more user-friendly toolset rely heavily on Java-Script and Django;

• Design concepts for a secure, web-based application with persistent user workspaces;

• Create prototypes or redesign components to improve clarity, accessibility, and structure;

• Support migration from legacy implementations to modern software approaches;

• Enable model developers to add and test new models without disrupting live usage;

• Collaborate with system engineers and software mentors to validate design decisions;

This is a bachelor or master internship for minimum 6 months, minimum 4 days per week (3+ days onsite). This internship is not suitable for a thesis. The start date is as soon as possible or the latest September 2026.

To be suitable for the internship, you:

• Are enrolled in a bachelor’s or master's in Computer Science, Software Engineering, or a related field;

• Are not afraid to dig through legacy code in different languages: Python, Excel, Visual Basic, Java-Script, Django, MATLAB;

• Are curious how hardware configuration and options will affect the performance of an ASML chip machine;

• Have experience or strong interest in software design and development;

• Are analytical and enjoy understanding complex systems and translating them into clear solutions;

• Are collaborative and comfortable interacting with different user groups;

• Have good communication skills in English (verbal and written).