Master Thesis: Systematizing Neuro-Symbolic AI for Autonomous Network Management

Stack

Responsibilities

• ▹Follow a Systematic Literature Review or Systematisation of Knowledge methodology to study which classes of neuro-symbolic AI approaches exist and how they represent knowledge, entities, states, transitions or constraints
• ▹Analyse how responsibilities are divided between neural and symbolic components and how they are evaluated
• ▹Identify approaches potentially applicable to autonomous or intent-based networking and relate literature concepts to models defined by relevant networking standards
• ▹Identify research, engineering or standardisation gaps from this comparison
• ▹Review and classify relevant research, analyse applicable standards, develop the taxonomy and knowledge structure, and document the findings in the thesis

Requirements

• ▹Enrolled in a Master's programme in Computer Science, Cybersecurity, Machine Learning or an equivalent field
• ▹Solid software-development experience
• ▹Interest in neuro-symbolic AI, large language models, autonomous systems, automation or security
• ▹Strong analytical, research and technical writing skills

Nice to have

• ▹Experience with systematic literature reviews

Soft skills

About the company

Ericsson Research's security area provides security competence, architectures and solutions for platforms, networks and services. Ericsson is a team of diverse innovators and an equal opportunity employer.