Graduation assignment: Perform social network analysis using machine learning models

Introduction
This is a graduation assignment for a master's student with a background in software engineering or amthematics, and a specialization in data science, who is interested in social network analysis and working on big data problems.

Job Mission
ASML designs, develops and integrates markets and services with advanced Photolithography systems used by customers – the major global semiconductor manufacturers – to create chips that power a wide array of electronic, communications and information technology products; These machines produce big amounts of data, whose value is only possible using Data Science. This assignment is suitable for students curious about searching and finding the pros and cons of the High Performance Cluster and Knime software in collaboration with ASML employees to build machine learning models. 

Job Description
You will use machine learning models to find out relations between employees and/or clients and usage of Knime capabilities for processing, ETL and classification tasks. The assignment refers to:

1. Get familiar with the ASML software way of working;
2. Test the usability of the High Performance Cluster in cooperation with the software Knime;
3. Search for an interesting cluster of relations between employees and/or clients;
4. Write thesis report.

The tasks will be developed in an agile/iterative way. 

You will learn the software Knime – namely Knime Analytics Platform, Knime Server and Knime Webportal - to improve the applicability of Machine Learning algorithms and study the pros and cons of the High Performance Cluster with a practical case of a social network analysis. Also, you will experience the work in a high-tech company, with international teams.

Education
You are a master’s student with a background in Software engineering or Mathematics. You have a Data Science education and are interested in social network analysis and big data problems. Basic programming skills are required. You are driven to produce a new solution to the highest quality standards.
This is a graduation assignment with a duration of 6 months, starting as soon as possible.
 
Please keep in mind that we can only consider students (who are enrolled at a school during the whole internship period) for our internships and graduation assignments. 

Other information

What ASML offers
Your internship will be in one of the leading Dutch corporations, gaining valuable experience in a highly dynamic environment. You will receive a monthly internship allowance of 500 euro (maximum), plus a possible housing or travel allowance. In addition, you’ll get expert, practical guidance and the chance to work in and experience a dynamic, innovative team environment.

ASML: Be part of progress
We make machines that make chips – the hearts of the devices that keep us informed, entertained and safe; that improve our quality of life and help to tackle the world’s toughest problems.
We build some of the most amazing machines that you will ever see, and the software to run them. Never satisfied, we measure our performance in units that begin with pico or nano.
We believe we can always do better. We believe the winning idea can from anyone. We love what they do – not because it’s easy, but because it’s hard. 

Students: Getting ready for real-world R&D
Pushing technology further is teamwork, and our R&D team is more than 7000 people strong, with major sites on three continents. Dozens of diverse, interdisciplinary teams work in parallel to meet a challenging development schedule. 
In such an environment, your colleagues may be sitting next door, or they could be thousands of kilometers away in a different country, or even working for a different company.
An internship at ASML is your opportunity to get to know this world of industrial-strength R&D and get a feel for that excites you most. Will you design a part of the machine, or make sure it gets built to the tightest possible specifications? Will you write software that drives the system to its best performance, or work side-by-side with the engineers of our customers in a fab, optimizing a system to the requirements of the customer?