7 beste vacatures voor de functie van machine learning engineer in eindhoven, nb (nieuwe medewerkers gezocht)

Computational Physics | Artificial Intelligence internship: EUV Computational Physics & Optics
ASML —Veldhoven
- Master
- Analytisch vermogen
- Leidinggevende ervaring
12 uur
Senergetics: Data Scientist Intern
HighTechXL —Eindhoven
- Fulltime
- Azure
- Informatica
- DevOps
Internship/Graduation: Improving Engineering Productivity with AI
Vanderlande Industries —Veghel
- Fulltime
- Analytisch vermogen
- AI
- Communicatieve vaardigheden
Internship/Thesis – Signal Processing and AI for autonomous driving
NXP Semiconductors —Eindhoven
- Online sollicitatie
- Zonder diploma
- Elektrotechniek
- Communicatieve vaardigheden
Master Internships Mathware
Sioux Technologies GmbH —Eindhoven
- € 500 - € 750 per maand
- Fulltime
- Master
AI/ML engineer | Veghel | Sligro | Hybride
Sligro Food Group —Veghel
- Fulltime
- Azure
- Engels
- Master
- Personeelskorting
Senior Data Scientist
BrightCape —Eindhoven
- Azure
- Doctor
- Master
- Telefoonplan
- Flexibele werkuren
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Software Engineer (0.8-1.0 FTE)
Eindhoven University of Technology —Eindhoven
Strong experience in software engineering with a demonstrated ability to design and deliver complex software systems end-to-end.
€ 9 - € 11 per uur
Software Engineer, Data Infrastructure & Acquisition - Eindhoven, Netherlands
Speechify —Eindhoven
Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-…
€ 30.000 - € 120.000 per jaar

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Computational Physics | Artificial Intelligence internship: EUV Computational Physics & Optics

ASML -
Veldhoven

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Vacaturegegevens

Stage
12 uur geleden

Kwalificaties

PyTorch
Master
Analytisch vermogen
Leidinggevende ervaring
Bachelor
Natuurkunde
ICT
AI
Python

Volledige vacaturetekst

Introduction

The EUV Optical Modeling and AI team at ASML develops advanced methods to understand and improve the performance of EUV optical systems. In this Internship, you will work at the intersection of physics, machine learning, and optical diagnostics. You will use unique measurement datasets, physics-based simulation models, and advanced computing resources to uncover hidden information from complex optical measurements. Your work will contribute to a deeper understanding of EUV system behavior and support future diagnostic innovations. This Internship offers the opportunity to combine scientific research with practical impact in a highly advanced technology environment.

Your assignment

As part of this Internship, you will apply computational physics and modern AI methods to improve the interpretation of diagnostic measurements and infer physical properties that cannot be measured directly. Depending on the selected research topic, you may work on inverse modeling, representation learning, accelerated simulation methods, or multimodal diagnostics. You will develop and validate models using both simulated and experimental data while balancing performance, robustness, uncertainty awareness, and physical realism. Your main responsibilities will be:

Develop AI and computational physics models for EUV optical diagnostics

Analyze large and complex datasets to identify meaningful physical patterns and behaviors

Build methods to infer hidden physical parameters from diagnostic measurements

Design, train, and benchmark machine learning models against baseline approaches

Validate results using simulated and experimental data while assessing robustness and uncertainty

Develop clean, reusable, and well-documented Python workflows and research tools

Present research findings, recommendations, and outcomes to the team

This is an internship for minimum 6 months , minimum 5 days per week . During the first month, you are expected to work on-site 5 days per week to support onboarding, collaboration, and knowledge transfer. After the first month, there may be the possibility to work 1 to 2 days per week from home , subject to the project requirements and agreement with your supervisor. The preferred start date is as soon as possible , but candidates who are available to start up to February 2027 are also encouraged to apply.

Your profile

To be suitable for the internship, you:

Are pursuing a bachelor's or master's degree in computational physics, physics, artificial intelligence, data science, computer science, applied mathematics, optics, or a related technical field

Have strong Python programming skills and experience with scientific computing, scientific data analysis, or machine learning

Have a solid foundation in physics, mathematics, and machine learning fundamentals

Are analytical and capable of working with large and complex datasets

Are proactive, curious, and comfortable exploring unfamiliar physical phenomena while seeking feedback and collaborating with others

Experience with PyTorch, numerical simulation, physics-based modeling, inverse problems, uncertainty quantification, Bayesian methods, optimization techniques, or high-performance computing is considered beneficial.

At ASML, we believe diverse perspectives drive innovation. During this Internship, you will collaborate with researchers and engineers from different disciplines while developing expertise in both AI and physics. The project combines advanced machine learning techniques with a strong understanding of physical systems, making it ideal for students who enjoy applying data-driven methods to solve scientific challenges. By the end of this Internship, you will have delivered a tangible research outcome, such as a validated model, research prototype, benchmarking study, reusable software solution, or new diagnostic insight. If you are excited by the combination of artificial intelligence, physics, and real-world technological impact, this Internship could be the right opportunity for you.

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.

Need to know more about applying for a job at ASML? Read our frequently asked questions .

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machine learning engineer vacatures in eindhoven, nb

Computational Physics | Artificial Intelligence internship: EUV Computational Physics & Optics

Senergetics: Data Scientist Intern

Internship/Graduation: Improving Engineering Productivity with AI

Internship/Thesis – Signal Processing and AI for autonomous driving

Master Internships Mathware

AI/ML engineer | Veghel | Sligro | Hybride

Senior Data Scientist

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Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in eindhoven, nb

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Introduction

Your assignment

Your profile

To be suitable for the internship, you:

Inclusion and diversity

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