Master Thesis: AI-Supported Research Review and Approval Workflow

Posted 9 Days Ago
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Stockholm, SWE
In-Office
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
We are shaping the future of digital connectivity the world relies on.
The Role
Conduct research and prototype an AI- and knowledge graph-supported review and approval workflow for Ericsson Research. The thesis includes literature review, workflow and stakeholder analysis, qualitative user research, requirements definition, prototype development, usability evaluation, and assessment of transparency, trust, accountability, data quality, and organizational adoption. The candidate will present recommendations for integrating the solution into research workflows.
Summary Generated by Built In
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About this opportunity:
Ericsson Research is at the forefront of exploring how AI and knowledge graph technologies can enhance the way large-scale research organizations work. As research grows in complexity and scale, there is increasing interest in how intelligent systems can help researchers discover relevant prior work, understand connections between research artefacts, and make better-informed decisions throughout the research lifecycle.
The objective of this thesis is to study, redesign, prototype, and evaluate the user experience and organizational value of a multi-stakeholder AI- and knowledge graph-based workflow for scientific review and approval. The work will explore how AI-driven discovery and recommendation capabilities can support researchers, reviewers, approvers, and other stakeholders, with a strong focus on trust, transparency, explainability, and responsible use of AI in professional decision-making.
What you will do:
  • Conduct a literature review covering AI-assisted review and approval systems, human-AI interaction, explainable AI, decision support, knowledge graph-based discovery, trust in automation, and responsible AI.
  • Map a real-world scientific review and approval workflow, including stakeholder roles, information needs, decision points, handovers, and dependencies.
  • Investigate the possibilities and limitations of data sources such as publication metadata, citation networks, research artefact repositories, and knowledge graph relationships for supporting review and approval workflows.
  • Conduct qualitative user research with researchers, reviewers, approvers, and other stakeholders to understand requirements, expectations, and trust-related concerns.
  • Define design principles and requirements for an AI-supported workflow that balances automation with appropriate human oversight and follows corporate guidelines for responsible AI.
  • Develop or adapt a prototype workflow, interface, or system component that demonstrates how AI-generated suggestions, knowledge graph links, provenance information, and explanations can improve the review and approval process.
  • Evaluate the prototype through user studies, usability testing, and stakeholder feedback.
  • Analyse strengths, limitations, and organizational implications, including risks related to transparency, trust, accountability, and adoption.
  • Present the thesis with recommendations for integrating AI-supported capabilities into research workflows.

The skills you bring:
  • You are a Master's student in interaction design or human-computer interaction; computer science; information systems; machine learning, data science, or information retrieval; business and management; law with an information-technology specialisation; or a related field.
  • You have strong analytical, research, problem-solving, writing, and communication skills.
  • You are interested in one or more of: human-AI interaction, user-centred design, AI governance, knowledge management, or research information systems.
  • You are comfortable working with multiple stakeholder groups and translating diverse needs into design requirements.

Skills Required

  • Current Master's student in interaction design or human-computer interaction, computer science, information systems, machine learning, data science, information retrieval, business and management, law with an information-technology specialization, or a related field
  • Strong analytical, research, problem-solving, writing, and communication skills
  • Interest in qualitative user research, user-centered design, AI governance, knowledge management, or research information systems
  • Comfort working with multiple stakeholder groups and translating needs into design requirements
  • Background in academic or corporate research, such as wireless communication

What the Team is Saying

Vishal
Mayank
Granville
Sneha
Olga
Emily
Nicole
Sola
Aditi
Ericsson
Ericsson

Ericsson Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage is described as broad and reliable, with multiple medical plan choices, dental/vision, and mental-health/EAP resources. Available descriptions highlight healthcare and disability insurance as consistent strengths.
  • Retirement Support — U.S. materials point to an automatic company 401(k) contribution plus matching that can add up to a notably high employer contribution, and some regions also offer pension options. This structure is often cited as a meaningful component of total rewards.
  • Leave & Time Off Breadth — Time-off programs are characterized as generous, with sizable vacation allowances, paid holidays, sick time, volunteer time, and strong parental leave in some locations. PTO is frequently highlighted as a standout element of the package.

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The Company
HQ: Stockholm
88,000 Employees
Year Founded: 1876

What We Do

Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.

Why Work With Us

Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.

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