Master Thesis Researcher
hace 3 semanas
We are seeking a highly motivated researcher to join our team at Kollmorgen Automation AB and contribute to the development of novel representation of graph data using Deep Learning.
The successful candidate will have the opportunity to apply their skills in Machine Learning to a real-world problem, specifically predictive traffic modeling in Automated Guided Vehicles.
About the ProjectThe project involves the application of Graph Neural Networks to predict the consequences of different design choices in AGV systems. The researcher will work closely with domain experts to represent traffic rules in a graph-like data structure and experiment with deep learning architectures.
Requirements- Hold a Bachelor Degree in Computer Science, Applied Mathematics or similar;
- Enrolled in relevant master program such as Algorithms, Engineering Mathematics, Complex Adaptive System or Data Science/AI;
- Completed courses in Machine Learning and statistics;
- Had previous work experience as programmer;
- Had experience of Python, including libraries such as numpy, pandas, sklearn and pytorch/tensorflow;
- Experience of research is meritorious.
- Innovation Days every twelve weeks - a 24-hour event for the whole company to dig deeper, explore new areas and solve problems;
- Gym at the office filled with machines for strength and fitness that is always open and free to use when you need a break in your thesis work;
- A bicycle storage and free car parking outside our office;
- Participate in our events such as monthly breakfast meetings, Day of Caring (every year we take one day to clean the west coast beaches together) etc;
- Good fair trade coffee (or tea) with fresh milk;
- Fresh fruit if you get hungry.
If you have any questions about the thesis, you are welcome to contact us.
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