Data Scientist Researcher

Introduction 
At ASML we use advanced data-driven algorithms to fuel the semiconductor and electronic revolution. If your ambition is to apply your knowledge, personal and leadership skills to very complex challenges and you feel excited when those challenges lead to successful new products, please read further. 

The advanced ASML lithography systems are a key component in the manufacturing of almost all advanced memory and logic devices. The handling of data at ever increasing scales, including image/signal acquisitions, logs and human knowledge enables the next generation lithography and metrology systems pushing technology limits.  

In ASML Research, we are scaling-up our Data Science team where we drive innovation in the areas of Image/Signal Processing, Deep Learning, Statistics, Knowledge Representation and Data mining working on state-of-the-art challenges. 

Are you challenged by demanding research  projects in a multidisciplinary context? Do you have the technical capabilities to provide innovative solutions? Does contributing to the world’s most advanced lithography and metrology machines makes you feel responsible and proud? Then this might be the right opportunity for you. 

 
Responsibilities 

In this position, you will be responsible for driving the development of novel state-of-the-art Data Science approaches, in a multi-disciplinary team setting: 

• Drive the research and development of novel highly scalable data-driven systems. 

• Build/prototype models working together with physics/domain focused as well as software teams. 

• Collaborate with on-product applications groups and our academic partners actively working on a Data Science framework for ASML products 

• Stay abreast of the latest developments in your field of expertise 

• Generate patents/publications protecting ASML products 

• You invest in an academic network, define and support academic research projects in this field. 

• You are curious by nature, and keep your knowledge up to date by means of reading literature and visiting conferences. 

Skills 

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way do that. You will be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues from various departments. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems. 

 
To thrive in this job, you’ll need the following skills: 

• A Solution-oriented, innovative mind-set, 

• Ability to work, communicate and influence across functional teams from adjacent domains 

• Experience with defining and monitoring research projects on academic institutes. 

• You are self-propelling and can define the research direction. 

• High personal ambition and drive, commitment to team and company 

• Self-propelling, independent thinker 

• Good & proactive communication in an international and multidisciplinary environment. 

• Pragmatic approach and pro-active attitude, with result focus and a ‘can do’ spirit 

• Willingness to travel 

• You are willing to acquire lithography and other relevant domain knowledge, required to understand the application domain of your research. 

• You are enthusiastic, a creative thinker and intrinsically motivated. 

Education and Experience 

• PhD / Post-Doctoral researcher in Mathematics, Physics, Artificial Intelligence/Machine Learning or Computer Science. 

• M.Sc. in (e.g.) Data Science, Mathematics, Computer Science, Statistics, Physics or Electrical Engineering 

• Recognized expertise in Data Science with a solid publication track record. 

• 4+ years of (Hands-on) experience with Machine Learning / Pattern Recognition / Signal Processing challenges using frameworks such as Tensorflow, PyTorch, Scikit-Learn. 

• Ability to communicate complex technical and  mathematical concepts in a clear and precise manner.  

Context of the position 

This project is carried out at ASML Research. You will be a member of the Data-Science Research team. You will interact with your peer data scientists and experts from other disciplines, and build relations with relevant academic research institutes.