Master Thesis: UX-based framework for supporting AI adoption

📍 Job Overview

Job Title: Master Thesis: UX-based Framework for Supporting AI Adoption

Company: Ericsson

Location: Stockholm, Sweden

Job Type: Full-time

Category: Research & Development / Technology Strategy

Date Posted: October 30, 2025

Experience Level: Entry Level (0-2 years)

Remote Status: On-site

🚀 Role Summary

• This Master Thesis position focuses on the critical intersection of User Experience (UX) design and the successful adoption of Artificial Intelligence (AI) technologies within an enterprise context.

• The role requires the development of a novel, UX-based framework that will guide and support organizations in their AI adoption journey, ensuring user-centricity and practical implementation.

• Candidates will be immersed in a dynamic, innovative environment, contributing to cutting-edge solutions for complex technological challenges at Ericsson.

• This is an on-site position in Stockholm, Sweden, offering a full-time engagement for the duration of the thesis project.

📝 Enhancement Note: While this is a Master's thesis role, it is framed as a full-time, on-site position, indicating a deeply integrated experience within Ericsson's R&D or innovation teams. The emphasis on "supporting AI adoption" and "UX-based framework" suggests a need for analytical, research-driven, and strategic thinking, aligning it with operational strategy development within technology adoption.

📈 Primary Responsibilities

• Conduct comprehensive research into current AI adoption challenges and user experience best practices.

• Design and develop a robust, UX-centric framework to facilitate effective AI adoption within organizations.

• Collaborate closely with diverse teams of innovators, researchers, and engineers to gather insights and validate framework components.

• Analyze user needs, workflows, and potential adoption barriers to inform framework design and implementation strategies.

• Document research findings, framework architecture, and implementation guidelines clearly and concisely.

• Present research outcomes and framework proposals to stakeholders, demonstrating innovation and problem-solving capabilities.

• Contribute to a culture of diversity and collaboration, essential for driving innovation and tackling complex technological challenges.

📝 Enhancement Note: The core responsibilities are centered around research, framework design, and collaborative development, typical for a Master's thesis project. The emphasis on "supporting AI adoption" and "UX-based" implies a need for structured thinking and practical application of theoretical knowledge, mirroring operational strategy development for technology implementation.

🎓 Skills & Qualifications

Education:

Experience:

• Limited professional experience is expected, but prior academic projects, internships, or personal projects demonstrating UX design principles and research methodologies are highly valued.

Required Skills:

• UX Design Principles: Strong understanding of user-centered design methodologies, user research techniques, wireframing, prototyping, and usability testing.

• AI Adoption Understanding: Foundational knowledge or a keen interest in Artificial Intelligence technologies and their practical application and adoption challenges.

• Framework Development: Ability to conceptualize, design, and structure a comprehensive framework for a specific purpose.

• Research & Analysis: Proficiency in qualitative and quantitative research methods, data analysis, and synthesizing findings into actionable insights.

• Collaboration & Teamwork: Proven ability to work effectively within a diverse team, communicate ideas clearly, and contribute constructively to group projects.

• Problem Solving: Strong analytical and critical thinking skills to identify challenges and propose innovative solutions.

Preferred Skills:

• Experience with AI/ML concepts and their implications for user interaction.

• Familiarity with enterprise software adoption lifecycles.

• Exposure to innovation methodologies or strategic framework development.

• Excellent written and verbal communication skills in English.

📝 Enhancement Note: Given the Master's thesis nature, formal experience requirements are minimal. The focus is on academic foundation and demonstrated aptitude in UX, research, and a strong interest in AI. The "framework development" aspect suggests a need for structured thinking that translates directly to operational planning for technology rollout.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• While a formal "portfolio" in the traditional sense might not be required for a thesis application, candidates are encouraged to showcase academic projects or personal work that demonstrates their ability to:

• Design User-Centric Solutions: Present case studies of UX design projects, highlighting problem definition, user research, ideation, and design outcomes.

• Conceptualize and Structure Frameworks: Provide examples of academic papers, project plans, or conceptual models where a structured approach was taken to address a complex problem.

• Conduct and Analyze Research: Showcase research projects, including methodologies used, data collected, and insights derived.

• Demonstrate Problem-Solving: Detail how specific challenges were overcome through design or research interventions.

Process Documentation:

• Candidates will be expected to document their thesis process rigorously, including:

• Research Methodology: Clearly outlining the chosen research approach, data collection methods, and analytical techniques.

• Framework Design & Iteration: Detailing the iterative process of framework development, including feedback incorporation and refinement.

• Validation and Testing: Documenting any user testing or validation activities conducted to assess the framework's effectiveness.

📝 Enhancement Note: For a thesis role, the "portfolio" is more about showcasing academic capabilities and research potential. The emphasis on process documentation aligns with the operational need for clear, repeatable methodologies in research and development projects.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Thesis Supervision: Access to expert academic and industry supervisors from Ericsson.

• Access to Resources: Utilization of Ericsson's research facilities, tools, and potentially internal data (under strict confidentiality agreements).

• Networking Opportunities: Potential to connect with leading professionals in UX, AI, and telecommunications.

• Professional Development: Exposure to real-world R&D challenges and corporate innovation processes.

• Potential for Future Employment: Successful thesis completion and positive performance may lead to future employment opportunities within Ericsson.

• Work Environment: A collaborative and innovative on-site work environment in Stockholm.

Working Hours:

• This is a full-time position, typically aligning with standard business hours (e.g., 40 hours per week). However, flexibility may be afforded to accommodate the intensive nature of research and thesis writing, with discussions to be held with the direct supervisor.

📝 Enhancement Note: Salary is estimated based on typical thesis stipends in Sweden for full-time, on-site research positions. Benefits focus on the academic and professional growth aspects inherent to a thesis project within a corporate setting.

🎯 Team & Company Context

🏢 Company Culture

Industry: Telecommunications & Technology Services. Ericsson is a global leader in telecommunications infrastructure, services, and software. This position is within a division focused on innovation and the application of advanced technologies like AI.

Company Size: Large enterprise (over 100,000 employees globally). This means access to extensive resources, diverse expertise, and structured processes, but also a need for individuals who can navigate larger organizations.

Founded: 1876. Ericsson has a long history of innovation and technological advancement, providing a stable yet forward-thinking environment.

Team Structure:

• The thesis candidate will likely be part of a research and development team or an innovation lab, working alongside experienced researchers, engineers, and UX designers.

• Reporting structure will be to a designated thesis supervisor and potentially a project manager within Ericsson.

Methodology:

• Data-Driven Innovation: Emphasis on using research and data to inform design and strategic decisions.

• Agile Research Practices: While academic, the research process will likely incorporate iterative development and feedback loops, mirroring agile methodologies for rapid prototyping and validation.

• User-Centric Design: A fundamental approach to ensure that technological solutions are designed with the end-user in mind.

Company Website: https://www.ericsson.com/

📝 Enhancement Note: Information about Ericsson's industry, size, and founding date provides context for the scale and historical significance of the organization. The emphasis on collaboration and innovation is key for understanding the team dynamics and operational approach.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at an "Entry Level" or "Trainee" equivalent within the context of a Master's thesis. It's an opportunity to gain deep, specialized knowledge and practical experience in a niche area of technology adoption and UX strategy.

Reporting Structure: The candidate will report to a dedicated thesis supervisor, likely a senior researcher or manager within Ericsson's innovation or R&D departments. This supervisor will guide the research and provide feedback, closely mimicking a direct reporting relationship in a project-based setting.

Operations Impact: While not directly managing operational processes, the output of this thesis – a UX-based framework for AI adoption – can have significant operational impact. It aims to streamline and improve the effectiveness of AI implementation across the organization, reducing adoption friction and maximizing the value derived from AI investments.

Growth Opportunities:

• Specialized Skill Development: Deep dive into the synergy of UX and AI adoption, becoming an expert in a highly sought-after field.

• Industry Exposure: Gain invaluable experience and insights into the operational challenges and strategic considerations of a global technology leader like Ericsson.

• Networking: Build professional connections with industry experts, potentially opening doors for future career opportunities within Ericsson or the broader tech sector.

• Research Acumen: Enhance research, analytical, and strategic thinking skills applicable to a wide range of operational and R&D roles.

📝 Enhancement Note: The career analysis focuses on the unique trajectory of a thesis role, emphasizing skill acquisition and potential future pathways rather than immediate operational management. The "operations impact" highlights how academic research can directly influence real-world operational efficiency and strategy.

🌐 Work Environment

Office Type: On-site at Ericsson's facilities in Stockholm, Sweden. This implies a professional corporate office environment.

Office Location(s): Stockholm, Sweden. This location offers a hub for technology and innovation in the Nordic region.

Workspace Context:

• Collaborative Spaces: Likely access to modern office spaces designed to foster collaboration, including meeting rooms, brainstorming areas, and potentially dedicated project spaces.

• Access to Technology: Expected to have access to relevant software, hardware, and potentially specialized AI/UX tools necessary for the thesis research.

• Integration with Teams: The role is integrated within an active R&D or innovation team, providing opportunities for informal learning and interaction with experienced professionals.

Work Schedule:

• Full-time, aligning with standard office hours, but with potential for flexibility to accommodate research needs. This flexibility allows for deep focus on thesis work while still maintaining connectivity with the team and company operations.

📝 Enhancement Note: The description of the work environment emphasizes professional, collaborative settings typical of large tech companies, with a focus on access to resources and team integration relevant to operational research.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV, academic transcripts, and any submitted portfolio materials to assess qualifications and research interest.

• Informational Interview/Discussion: An opportunity to discuss your academic background, research interests, and understanding of UX and AI adoption with a potential supervisor or hiring manager. This may involve a brief presentation of past academic work.

• Technical/Research Discussion: Deeper dive into your proposed thesis approach, research questions, and understanding of relevant methodologies. You may be asked to articulate how you would approach building a UX-based framework.

• Team Fit Assessment: Discussion to gauge your collaborative style, problem-solving approach, and alignment with Ericsson's innovative culture.

• Final Decision: Based on overall suitability, research potential, and team fit.

Portfolio Review Tips:

• Highlight Relevant Projects: Focus on academic projects, coursework, or personal assignments that demonstrate your UX design skills, research capabilities, and any exposure to AI or framework development.

• Structure Your Examples: For each project, clearly articulate:

  • The problem you addressed.
  • Your role and methodology.
  • Key findings or design solutions.
  • The impact or outcomes.

• Showcase Research Process: If you have research papers or reports, emphasize your methodology, data analysis, and conclusions.

• Demonstrate Framework Thinking: If you've created any conceptual models, process flows, or strategic outlines, present them clearly, explaining the logic and structure.

Challenge Preparation:

• Understand UX for AI: Be prepared to discuss the unique UX challenges of AI systems (e.g., explainability, trust, bias, human-AI collaboration) and how UX principles can address them.

• Framework Design Concepts: Think about what constitutes a robust framework and how you might structure one to support organizational change and technology adoption.

• Research Methodologies: Be ready to discuss your preferred research methods and how you would apply them to this thesis topic.

• Ericsson Context: Research Ericsson's work in AI and their commitment to innovation to tailor your responses.

📝 Enhancement Note: The interview process and portfolio review are tailored to a Master's thesis role, emphasizing academic rigor, research potential, and alignment with the specific project goals, rather than traditional operational role evaluations.

🛠 Tools & Technology Stack

Primary Tools (Expected Exposure/Learning Opportunity):

• UX Design & Prototyping Tools: Figma, Sketch, Adobe XD, InVision, or similar for wireframing, prototyping, and user flow design.

• Research & Analysis Tools: SurveyMonkey, Qualtrics, Google Forms for surveys; NVivo, Dedoose for qualitative data analysis; Excel, R, Python (for basic data analysis) for quantitative insights.

• Collaboration Platforms: Microsoft Teams, Slack, Jira, Confluence for team communication and project management.

Analytics & Reporting:

CRM & Automation:

• Not directly relevant to the thesis scope, but an understanding of how AI adoption frameworks impact enterprise systems and workflows could be beneficial.

📝 Enhancement Note: The tools listed are typical for UX research and design, with an acknowledgment that learning new tools within Ericsson's stack is part of the thesis experience. This reflects the operational need for proficiency in specific technology platforms.

👥 Team Culture & Values

Operations Values (as reflected in the company and role):

• Innovation: A drive to explore new ideas and push technological boundaries, essential for developing novel frameworks.

• Collaboration: A strong emphasis on working together across diverse teams to achieve common goals, crucial for integrating UX insights into AI adoption.

• User-Centricity: A commitment to understanding and prioritizing the needs of users in the design and implementation of technology.

• Excellence: A pursuit of high-quality research and impactful solutions that drive business and societal value.

• Integrity: Upholding ethical standards in research and technology development, particularly relevant in AI.

Collaboration Style:

• Cross-Functional Integration: Expect to work closely with individuals from various departments (e.g., R&D, product management, UX research, potentially business units adopting AI) to gather diverse perspectives.

• Knowledge Sharing: An environment that encourages sharing insights, challenges, and findings through regular team meetings, presentations, and documentation.

• Feedback-Driven: A culture where constructive feedback is welcomed and used to refine research approaches and framework designs.

📝 Enhancement Note: The team culture and values are inferred from Ericsson's general corporate statements and the nature of a research-intensive thesis project within an innovation setting, highlighting the operational importance of collaborative and user-focused mindsets.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI Adoption: Navigating the multifaceted challenges of integrating AI across different organizational functions and user groups.

• Framework Design Scope: Developing a framework that is both comprehensive enough to be effective and practical enough for implementation by diverse organizations.

• Balancing Research and Practicality: Ensuring the academic rigor of the thesis while producing a framework with tangible, real-world application potential.

• Navigating a Large Organization: Understanding internal structures and processes to effectively gather information and gain buy-in for framework components.

Learning & Development Opportunities:

• Deep Domain Expertise: Becoming a subject matter expert at the intersection of UX and AI adoption.

• Industry Exposure: Gaining hands-on experience within a leading global technology company.

• Methodological Advancement: Refining research, analytical, and framework development skills.

• Professional Networking: Building relationships with Ericsson professionals and potentially academic peers.

• Potential Career Pathway: Demonstrating strong performance could lead to further opportunities within Ericsson's R&D, innovation, or operational strategy teams.

📝 Enhancement Note: The challenges and growth opportunities are framed from the perspective of a thesis student, focusing on the learning curve and potential impact of their academic work within a corporate operational context.

💡 Interview Preparation

Strategy Questions:

• Framework Conception: "How would you approach designing a UX-based framework to support AI adoption? What key components would it include, and why?" (Prepare to outline your initial thoughts on structure, phases, and core principles.)

• User Research in AI: "What are the unique challenges of user research when dealing with AI systems, and how would your UX framework address these?" (Think about explainability, trust, bias, and evolving user needs.)

• Stakeholder Management: "Imagine you need to gather input from various departments within Ericsson for your framework. How would you ensure effective collaboration and buy-in?" (Consider communication strategies, needs assessment, and iterative feedback.)

Company & Culture Questions:

• Ericsson's AI Vision: "What do you know about Ericsson's work in AI, and how does your thesis topic align with their strategic goals?" (Research Ericsson's AI-related initiatives and products.)

• Teamwork Approach: "Describe a challenging academic or team project you've worked on. What was your role, and how did you contribute to overcoming obstacles?" (Prepare examples that highlight collaboration and problem-solving.)

• Innovation Contribution: "How do you see your thesis contributing to innovation at Ericsson?" (Connect your research to tangible benefits like improved adoption rates, user satisfaction, or efficiency.)

Portfolio Presentation Strategy:

• Focus on Process: For academic projects, emphasize your research methodology, design process, and how you arrived at your solutions, rather than just the final output.

• Quantify Impact (where possible): If you have any metrics from usability tests or project outcomes, present them clearly. For a framework, discuss how its success could be measured.

• Storytelling: Structure your presentations as a narrative – problem, approach, solution, and impact.

• Clarity and Conciseness: Be prepared to explain complex ideas in a clear, understandable manner, tailored to your audience.

📝 Enhancement Note: Interview preparation advice is geared towards a thesis candidate, focusing on research methodology, conceptual thinking, and articulating the value of their academic work to a corporate context.

📌 Application Steps

To apply for this Master Thesis position:

• Submit your application through the Ericsson Careers portal, including your CV and academic transcripts.

• Prepare a Statement of Interest: Clearly articulate your motivation for this specific thesis topic, your understanding of UX and AI adoption, and how your skills and academic background align with the requirements.

• Showcase Relevant Academic Work: If you have a portfolio of academic projects, research papers, or conceptual models demonstrating UX design or framework development, ensure these are easily accessible or referenced.

• Research Ericsson: Familiarize yourself with Ericsson's work in AI, their innovation focus, and their company culture to tailor your application and interview responses.

• Practice Articulating Your Vision: Be ready to discuss your initial thoughts on developing a UX-based framework for AI adoption during any interview stages.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details, especially regarding compensation and specific project scope, should be verified directly with the hiring organization during the application and interview process.