Master Thesis - Machine Learning to Detect Anomalies in Access Control Syst at Axis Communications AB. - Mexico

Lund, Skåne County, Sweden -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Statistical Analysis, Software Engineering, Data Science

Industry

Computer Networking Products

Description

Job Title Master Thesis - Machine Learning to Detect Anomalies in Access Control Systems Job Description Category Machine learning, Statistical analysis, Software engineering. Scope Two students, completing 30 credits each. Background An access control system is about who gets access to what and when. It typically consists of doors with different access requirements. For instance, during the day a user might only need to present a card but during the night both card and pin is necessary to enter an area. However users have access pattern, they arrive at roughly the same time during the morning and leave during the same time in the afternoon accessing the same doors in the same sequence. Could these access pattern be identified and lower the security requirements in the system or could an operator be notified when someone access something outside their typical pattern. Goal of thesis The goal of the thesis is to investigate different machine learning or statical approaches for detecting patterns in users' access behaviour and building models detecting anomalies in the access data and evaluating the models. The students will have to investigate the current research within machine learning and other statistical methods for the best approach to this problem. Who are you? You are a student in the final year of your studies and have an interest in machine learning, statistics öand software engineering. You are most likely studying a master's in computer science, data science or similar. The work will be done at Axis. OK, I am interested! What do I do now? Applications are accepted in both Swedish and English, and you apply via the proposal advert. Note that English literature is expected to be read during the thesis execution. The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program. When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us. Please attach your CV and University/College grade summary. Please contact David Karlsson, david.karlsson2@axis.com if you have any questions regarding this recruitment. Type of Employment Thesis Worker (Fixed Term) Posting End Date 2025-12-30 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. About Axis Communications 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 5000 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. Listen to Get To Know Axis – Podcast 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. Axis for cities Axis podcast playlist

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Responsibilities

The thesis involves investigating machine learning and statistical approaches to detect patterns in user access behavior and building models to identify anomalies in access data. Students will evaluate these models and explore current research in the field.