MEMS Electron Optics Simulation Internship

StudentJob; Delft; On-site; EUR 3,900 - 6,700; Full time

Job summary

ASML in Delft is offering a master’s internship focusing on MEMS-driven electron optics. You will adapt simulation models to reflect manufacturing variations, analyze how tolerances affect beam focus and alignment, and quantify critical deviations.

You will document findings and collaborate with the design team to improve performance. The internship is non-thesis, minimum five months, five days per week (two on-site), with a February/March 2027 start date.

Qualifications

• Enrolled in a master's program in physics, applied physics, electrical engineering, computer science, or related field.
• Strong foundation in physics and mathematics.
• Experience with Python and scientific computing libraries.
• Analytical and collaborative, with ability to communicate findings clearly.

Responsibilities

• Adapt and parameterize existing simulation models to represent manufacturing variations in MEMS structures.
• Analyze the impact of geometrical deviations on electron beam focus and alignment.
• Evaluate how different manufacturing tolerances interact and influence system performance.
• Identify critical deviations and quantify their effect on electron optics behavior.
• Document findings and communicate recommendations to the design team.
• Collaborate with engineers and researchers to improve understanding of performance sensitivities.

Skills

Python

Scientific computing

Analytical thinking

Communication skills

Collaborative mindset

Education

Master's degree in physics or related field

Bachelor's degree completed

Tools

Python libraries (NumPy/SciPy)

Data analysis tools

Job description

ASML in Delft is offering a master’s internship focusing on MEMS-driven electron optics. You will adapt simulation models to reflect manufacturing variations, analyze how tolerances affect beam focus and alignment, and quantify critical deviations.

You will document findings and collaborate with the design team to improve performance. The internship is non-thesis, minimum five months, five days per week (two on-site), with a February/March 2027 start date.