Machine and deep learning for storage arrays behaviour automation hos STORViX

Publicerat för 4 månader sedan

We believe it’s time for a new generation of autonomous storage arrays to make data storage simple again.

That’s why simplifying the user experience, protecting data integrity and automating internal  processes is at the heart of everything we do. With its smart algorithms and intelligent insights, AiRE IntelligentFiler gives you the power to control costs and optimize storage usage patterns. Inspired by groundbreaking biological computing technologies, our next-generation solutions are designed to help you succeed in the new IT era.

The company was founded in 2014 with a vision to create autonomous storage systems by developing a cloud-connected storage array. We have several storage arrays up and running and our customers range from universities, IT-service providers and car manufacturers.

We are looking for one or two students to conduct their Master thesis project at our headquarters at Ideon Science Park in Lund. The aim of the project is to develop a set of machine and deep learning algorithms to allow the storage array cloud-connected brain to classify incoming data and utilize this to take accurate measures for behaviour optimisation. We have a current draft of the algorithm, but you will be able to refine or rewrite it in the way you see fit. 

You should have a background in mathematics, computer engineering, computer science or similar. Additionally, you should have knowledge of appropriate languages for the project, such as Python or C++. We will assist you throughout the project and support your needs in tools and knowledge.

If this sounds like a project for you, feel free to contact us at for further information or apply below!

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