Physics | Engineering Internship: Multi-Beam SEM Performance Optimization

ASML; Delft; On-site; EUR 13,000 - 20,000; Full time

Job summary

ASML Delft is offering a master’s non-thesis internship focused on improving imaging performance of multi-beam SEM systems. You will calibrate and characterize measurements, analyze data, and evaluate system performance to enhance inspection strategies.

The role combines physics, data analysis, and engineering in a cutting-edge environment. The internship spans at least 5 months with a minimum of 5 days per week (2 days on-site) beginning Feb/March 2027, open to master’s students in physics,

Qualifications

• Master's student in Physics, Applied Physics, Electrical Engineering, Computer Science, or related field.
• Strong foundation in physics and mathematics.
• Experience with Python for scientific programming and data analysis.
• Analytical and able to interpret complex datasets; proactive in multidisciplinary teams.

Responsibilities

• Design and execute calibration and characterization measurements.
• Analyze measurement data to evaluate imaging and system performance.
• Assess beam positioning, focus behavior, and alignment accuracy.
• Develop data-analysis workflows, visualizations, and performance metrics.
• Investigate the impact of wafer topography on imaging quality and throughput.
• Support automation of data processing and reporting activities.
• Collaborate with software, physics, and systems engineers to improve calibration methods.
• Depending on interests, contribute to statistical modeling and algorithm development.

Skills

Python

Mathematics

Data analysis

Team collaboration

Self-motivation

Education

Master's degree in Physics / Applied Physics / Electrical Engineering / Computer Science

Tools

Python (SciPy)

Job description

Introduction

At ASML Delft, we are developing a next-generation multi-beam scanning electron microscope (SEM) for semiconductor wafer inspection. This internship focuses on improving the imaging performance of advanced inspection systems used in semiconductor manufacturing. Due to the microscope's large field of view and shallow depth of focus, wafer surface variations can affect image quality and inspection efficiency. During this internship, you will help develop methods to better understand these effects and improve system performance. This internship offers the opportunity to combine physics, data analysis, and engineering in a highly innovative environment.

Your assignment

As an intern, you will contribute to the optimization of multi-beam SEM performance through calibration measurements, data analysis, and performance evaluation. You will work closely with specialists from different engineering disciplines to gain insight into electron-optical system behavior and identify opportunities for improvement. Your work will support the development of more robust inspection strategies and improved imaging performance.

Your main responsibilities will be:

• Design and execute calibration and characterization measurements;
• Analyze measurement data to evaluate imaging and system performance;
• Assess beam positioning, focus behavior, and alignment accuracy;
• Develop data-analysis workflows, visualizations, and performance metrics;
• Investigate the impact of wafer topography on imaging quality and throughput;
• Support automation of data processing and reporting activities;
• Collaborate with software, physics, and systems engineers to improve calibration methods.
• Depending on your interests and progress, the project may also include statistical modeling, algorithm development, and optimization of inspection strategies.

This is a master's non-thesis internship for minimum 5 months, minimum 5 days per week (2 days on-site). The start date of this internship is as of February/March 2027.

Your profile

To be suitable for the internship, you:

• Are currently enrolled in a master's degree in Physics, Applied Physics, Electrical Engineering, Computer Science, or a related field, and have completed a bachelor's degree;
• Have a strong foundation in physics and mathematics;
• Have experience with Python for scientific programming and data analysis;
• Are analytical and able to interpret complex datasets;
• Are proactive and comfortable working both independently and within multidisciplinary teams.

This internship is ideal for students who enjoy combining theory, experiments, and data analysis to solve technical challenges. Through this internship, you will contribute directly to the development of advanced inspection technology and gain valuable experience within a leading high-tech company.

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
• If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement);
• You attach your cover letter with a clear motivation on why you are interested in this internship assignment in particular;
• You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Inclusion and diversity

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.