Introduction
The Global Training Center (GTC) within ASMLs Customer Support (CS) department is responsible for developing and delivering technical and soft skills training to field service engineers and customer engineers worldwide. These engineers maintain upgrade and install ASML systems at customer sites. Currently decisions regarding training investments and learning strategies are made without a structured quantitative approach. The challenge is to create a decision support model that enables data-driven choices about training types investment levels and skill ramp-up strategies improving both cost-effectiveness and operational efficiency.
Your assignment
You will develop a decision support model to evaluate and compare different learning strategies for field service engineers.
Key responsibilities include:
- Quantitatively assess training investments in terms of cost and time.
- Compare alternatives such as sending experts to the field vs. training new hires.
- Determine optimal training locations (e.g. BIC vs. regional centers).
- Collaborate with stakeholders to gather data and validate model assumptions.
- Support financial decision-making with clear data-driven recommendations.
Your profile
To be a fit for this assignment you:
- Are pursuing a degree in Econometrics (Business) Economics Data Science or a related field.
- Have strong analytical skills and experience with quantitative modeling.
- Are proficient in tools such as Excel Python or R.
- Can communicate findings clearly to both technical and non-technical stakeholders.
- Are proactive and comfortable working independently and in teams.
This is a bachelor or master internship for minimum 5 months minimum 4 days per week (2 days on-site). The start date of this internship is as of February 2026.
Other requirements you need to meet
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.
Required Experience:
Intern
IntroductionThe Global Training Center (GTC) within ASMLs Customer Support (CS) department is responsible for developing and delivering technical and soft skills training to field service engineers and customer engineers worldwide. These engineers maintain upgrade and install ASML systems at custome...
Introduction
The Global Training Center (GTC) within ASMLs Customer Support (CS) department is responsible for developing and delivering technical and soft skills training to field service engineers and customer engineers worldwide. These engineers maintain upgrade and install ASML systems at customer sites. Currently decisions regarding training investments and learning strategies are made without a structured quantitative approach. The challenge is to create a decision support model that enables data-driven choices about training types investment levels and skill ramp-up strategies improving both cost-effectiveness and operational efficiency.
Your assignment
You will develop a decision support model to evaluate and compare different learning strategies for field service engineers.
Key responsibilities include:
- Quantitatively assess training investments in terms of cost and time.
- Compare alternatives such as sending experts to the field vs. training new hires.
- Determine optimal training locations (e.g. BIC vs. regional centers).
- Collaborate with stakeholders to gather data and validate model assumptions.
- Support financial decision-making with clear data-driven recommendations.
Your profile
To be a fit for this assignment you:
- Are pursuing a degree in Econometrics (Business) Economics Data Science or a related field.
- Have strong analytical skills and experience with quantitative modeling.
- Are proficient in tools such as Excel Python or R.
- Can communicate findings clearly to both technical and non-technical stakeholders.
- Are proactive and comfortable working independently and in teams.
This is a bachelor or master internship for minimum 5 months minimum 4 days per week (2 days on-site). The start date of this internship is as of February 2026.
Other requirements you need to meet
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.
Required Experience:
Intern
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