Master Thesis: Cyber Reasoning Systems for Patching Critical Infrastructure at Ericsson

Karlskrona, Blekinge County, Sweden -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML, Cyber Security, Computer Science, Computer Engineering, Vulnerability Management, Hacking, IT Security

Industry

Telecommunications

Description

Join our Team About this opportunity: Mobile networks are used all over the world and are the cornerstone for the connected society. In todays and future networks, the ability to guarantee security is of the utmost importance. Ericsson R&D Engineering Environments are key in delivering new methods and functionality to provide security in an efficient manner to each of the eight billion customers worldwide we support. Because of this we are always looking forward to developing new and innovative products and tools for our mission.Modern R&D environments operate at massive scale, supporting thousands of developers and systems across complex networks. Managing software vulnerabilities in such critical infrastructure requires not only precision but also speed.Traditional patching and vulnerability management approaches often rely on manual prioritization, risk scoring, and human decision-making[DB1] — processes that can delay response time and introduce risk.This master thesis aims to study and detail how Emerging Cyber Reasoning Systems and autonomous patch management frameworks promise a step-change: enabling intelligent, automated reasoning over vulnerabilities, dependencies, and patch impact to improve resilience and reduce exposure time. What you will do: The goal of this thesis is to research and prototype a Cyber Reasoning System for automated patching in critical R&D infrastructure. [DB2] The system should explore how AI, reasoning engines, or knowledge graphs can:Analyze vulnerability data and patch metadataModel system dependencies and risk propagationRecommend or autonomously execute patch actionsIntegrate with existing vulnerability management workflows and toolsThe thesis could result in a conceptual framework, a proof-of-concept prototype, and a recommendation for integrating Cyber Reasoning System approaches into enterprise vulnerability management. [DB3] Also, answering questions like: What are the operational and security trade-offs between autonomous and human-in-the-loop patching systems? The skills you bring: This project targets students in AI/ML, cyber security, computer science, computer engineering or similar fields.Extent1-2 students, 30hpLocationEricsson AB Kista, StockholmPreferred Starting DateEarly 2026KeywordsIT Security, Network, AI/ML, hacking, Vulnerability Management, Cybersecurity

Responsibilities

The goal of this thesis is to research and prototype a Cyber Reasoning System for automated patching in critical R&D infrastructure. The system should explore how AI, reasoning engines, or knowledge graphs can analyze vulnerability data and patch metadata, model system dependencies, and recommend or autonomously execute patch actions.