Category
Computer science, Machine learning, Data Analysis
Scope
2 students completing a master's or bachelor's thesis.
Background
At the Mobile Applications department, we conduct regular tests of our products to ensure the best possible quality. The scope of the tests is based on the code change and affected areas as well as on the common user behavior that is known from the collected user analytics. Currently, we do not analyze all the gathered data as it is very time consuming. This project aims to train a local AI model with our collected data in order to know more about user behavior.
Goals
The thesis work should answer the following questions:
● Are there any existing LLM models suitable for this purpose?
● What common AI techniques could be used to solve our problem?
● How can we integrate such an approach in our daily work?
Requirements
For this thesis proposal we target students with a strong interest in Machine learning. Most likely you are studying Computer science, Data Analysis or Software Engineering. You have to have a good understanding of programming concepts.
OK, I am interested! What do I do now?
You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.
Who to contact for any questions regarding the position!
Anastasia Kantor, Experienced Engineer: Anastasia.Kantor@axis.com or
Oscar Porenius, Experienced Engineer: Oscar.Porenius@axis.com
Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.
We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.
With around 4500 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.
Let´s create a smarter, safer world
For more information about Axis, please visit our website www.axis.com.
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