Mathematics | systems and control internship: wafer handler optimization

StudentJob; Eindhoven; On-site; EUR 8,900 - 13,000; Full time

Job summary

ASML in Veldhoven zoekt een MSc-student voor een stage van 4–6 maanden in de Wafer Handler-afdeling. Je ontwikkelt een tijd-optimale bewegingsplanning voor robotten en verhoogt throughput in een simulatieomgeving met MATLAB.

Je profiel: master in wiskunde, systemen en besturing of gerelateerd; ervaring met MATLAB en wiskundige modellering; analytisch, proactief en communicatief met stakeholders. Stage vereist 3 dagen op locatie en minimaal 5 dagen per week.

Qualifications

• Bezig met een masteropleiding in een relevant vakgebied.
• Ervaring met MATLAB en wetenschappelijke programmering.
• Kennis van optimalisatie, wiskundige modellering en differentiaalvergelijkingen.
• Analytisch, gestructureerd en communicatief met stakeholders.

Responsibilities

• Analyseer het huidige robot-motion probleem en prestatiesbeperkingen.
• Onderzoek optimalisatiemethoden en relevante literatuur.
• Zet systeemconstraints om in een wiskundig optimalisatiekader.
• Ontwikkel algoritmes voor tijd-optimeerde setpoint-profielen.
• Implementeer en test de oplossing in MATLAB en relevante tools.
• Valideer de aanpak in een simulatieomgeving.
• Kwantificeer en rapporteer de behaalde throughput-verbeteringen.

Skills

Mathematical modeling

Optimization methods

Differential equations

Analytical thinking

Communication with stakeholders

Education

Master's degree in Mathematics, Systems and Control, Applied Mathematics, Robotics, Mechanical Engineering, or Mechatronics

Tools

MATLAB

Scientific programming

Job description

Introduction

The Wafer Handler department in Veldhoven plays a key role in transporting wafers throughout ASML lithography systems. During this internship, you will contribute to improving wafer handling throughput by developing an optimization approach for robot motion. The assignment focuses on reducing robot move time while respecting physical and operational constraints. Your work will help explore new possibilities for faster and more efficient wafer transport in a simulated environment. If you enjoy mathematical modeling, optimization, and translating theory into practical solutions, this internship could be a great fit.

Your assignment

Within the Wafer Handler domain, robots transfer wafers between modules using three degrees of freedom. Current motion strategies are not fully time-optimal and can limit overall system throughput. During this internship, you will investigate optimization techniques from literature and develop an algorithm that generates time-optimal motion setpoints while satisfying system constraints. Success is achieved when the proposed method demonstrates measurable throughput improvements in simulation. Your main responsibilities will be:

• Analyze the existing robot motion problem and performance limitations
• Research optimization methods and relevant scientific literature
• Translate system constraints into a mathematical optimization framework
• Develop algorithms for generating time-optimal motion setpoint profiles
• Implement and test the solution using MATLAB and programming tools
• Validate the proposed approach in a simulation environment
• Quantify and present the achieved performance improvements

This is a master's thesis internship for 4 to 6 months, minimum 5 days per week (3 days on-site). The start date of this internship is as soon as possible.

Your profile

To be suitable for the internship, you:

• Are pursuing a master's degree in mathematics, systems and control, Applied mathematics, robotics, mechanical engineering, mechatronics, or a related field
• Have experience with MATLAB and scientific programming
• Have knowledge of optimization methods, mathematical modeling, and differential equations
• Are analytical, structured, and comfortable solving complex technical problems
• Are proactive and able to communicate findings clearly with stakeholders

This mathematics | systems and control internship offers the opportunity to work on a challenging optimization problem with direct relevance to semiconductor manufacturing technology. You will gain experience combining mathematical theory, simulation, and engineering constraints while contributing to innovations that can improve system performance. As part of this internship, you will collaborate with experienced engineers in an international and inclusive environment where learning and development are encouraged.

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.

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.

Salarisomschrijving

In overeenstemming

Vaardigheden

• Je beheerst Engels

Opleiding

HBO