Master Thesis (m/f) Predictive Data Analytics for Industrial Robots

11 Jul 2016
28 Apr 2017
Contract Type
Full Time
We will support you in the final phase of your master's degree course. Compile your practically-oriented thesis with us, and seize the opportunity to gain insights into an international group. ABB will provide you with wide-ranging, professional and expert support to bring your thesis to a successful conclusion. The financial support we can offer includes a utilisation bonus for your thesis.

Industrial robots are used in various applications for industrial automation, such as in production lines of car manufacturers for the welding or painting of cars bodies. These robots collect a vast amount of production data every day, such as robot sensor data and event logs, which are stored in historic logging databases of the robot systems. The analysis of this data and past events is a key enabler for scheduling of predictive maintenance for these robots. The core idea of our research project is the development of (big) data analytics models to predict robot health and to form the basis for predictive and condition-based maintenance services.

In your internship you will support our research project in the development and evaluation of analytics models and tools to predict robot health conditions, against real-word use cases and data coming from typical robot production environments such as the automotive industries.

• You are a fully matriculated student in computer science, mathematics, or related fields
• Knowledge in data mining and machine learning
• Initial experience with data mining and data processing tools such as R, Python, MapReduce, or similar.
• Good command over English.