Master thesis: AI solutions

Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Cybersecurity

In short

This Master's thesis will investigate how Generative AI can support architecture verification by designing and evaluating an AI-powered prototype. The project focuses on analyzing architecture descriptions and diagrams against requirements and design principles, identifying violations, and suggesting improvements.

Responsibilities

  • Review relevant literature and current approaches for AI-assisted architecture and security assessment.
  • Study applicable Mandatory Architecture Requirements and design principles and translate them into verifiable evaluation criteria.
  • Design and implement a prototype that uses Generative AI to analyse software or system architecture documentation.
  • Identify potential non-compliance, explain the related security or architecture risk, and recommend improvements.
  • Provide references to the requirements and design principles used in each assessment to support traceability and human review.
  • Create representative architecture assessment scenarios and establish expert-reviewed reference results.
  • Compare the AI assessments with those of experienced security architects using measures such as precision, recall, agreement, false-positive rate, explanation quality, and review effort.
  • Analyse limitations, risks, and suitable human oversight for using Generative AI in architecture governance.

Requirements

  • Background in computer science, software engineering, cybersecurity, information technology, or a related field.
  • Understanding of software or system architecture and security principles.
  • Experience with Python and Large Language Models, prompt engineering, or Retrieval-Augmented Generation.
  • Ability to work with structured and unstructured technical documentation.
  • Interest in empirical evaluation, security architecture, and responsible AI.
  • Strong analytical, problem-solving, and communication skills.

Benefits

  • Outstanding opportunity to use your skills and imagination to push the boundaries of what's possible.
  • Opportunity to build solutions never seen before to some of the world’s toughest problems.
  • You’ll be challenged, but you won’t be alone.
  • You’ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
  • Encouraging a diverse and inclusive organization is core to our values at Ericsson.
  • Championing diversity and inclusion in everything we do.
  • Collaborating with people with different experiences drives innovation.
  • Encouraging people from all backgrounds to apply and realize their full potential.
  • Proud to be an Equal Opportunity Employer.
#AI#Generative AI#Architecture#Security#Python#LLM#Master Thesis
Ericsson Logo

Company

Ericsson

Job Posted

1 day ago

Employment Type

Internship

WorkMode

On Site

Experience Level

Student

Locations

Stockholm, Sweden

Qualification

Master

Applicants

Be an early applicant