Om jobbet
På ABB hjälper vi industrier att bli snabbare, mer resurseffektiva och hållbara. Här är framsteg en självklarhet - för dig, ditt team och hela världen. Som global marknadsledare ger vi dig rätt förutsättningar för att lyckas med det. Det kommer inte alltid att vara enkelt - utveckling kräver mod och styrka. På ABB är du aldrig ensam. Run what runs the world.
Denna position rapporterar till:
R&D Team Lead
Rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has shown significant potential to support proactive decision-making, improve operational efficiency, and manage complex, time-dependent processes in industrial settings. However, their adoption in high-stakes industrial domains remains challenged by issues such as trust, interpretability, and the handling of uncertainty, especially when decisions carry significant risk.
In industrial settings, AI will eventually be positioned so that operators can rely on AI to make decisions. Yet, when these decisions are critical and outputs are uncertain or ambiguous, how workers respond, and how systems can support them, remain unanswered questions.
This thesis investigates how AI systems and humans can collaborate when AI outputs are uncertain, and how that affects decision-making. Additionally, the thesis explores how Human-Machine Interfaces (HMIs) can be designed to better support users in interpreting and acting on such uncertainty when there is risk involved.
This thesis aims to delve into this topic, exploring questions such as:
Both Human-AI interaction (HAI) and Explainable AI (XAI) are interdisciplinary fields, exploring how humans and AI systems communicate and collaborate in a clear, understandable and transparent manner. With a solid foundation in the industrial domain, this thesis aims to make a valid contribution to the area, specifically exploring - through user research and design prototypes, potentially design principles, UX patterns - how uncertainty can be managed to improve the decision support capabilities of AI systems.
Details
Your role and responsibilities
Your background
We are looking for motivated master's students with a strong interest in human-centered design and automation.
Candidates could have:
More about us
ABB is a global technology leader in electrification and automation. We see our purpose as being to enable a more sustainable and resource-efficient future. By connecting our engineering and digitalization expertise, we help industries run at high performance, while becoming more efficient, productive and sustainable so they outperform. We call this: 'Engineered to Outrun.'
Recruiting Manager Dawid Ziobro, dawid.ziobro@se.abb.com, will answer your questions.
Apply with your CV, academic transcripts and a cover letter in English.
We look forward to receiving your application!
Join us. Be part of the team where progress happens, industries transform, and your work shapes the world. Run What Runs the World.
Kommande möjligheter Vänligen notera att denna annons syftar till att få in intresseanmälningar till en kandidatpool kopplat till det aktuella området, och det är därför inte en öppning till ett specifikt jobb just nu. Genom att ansöka uttrycker du ditt intresse för framtida karriärmöjligheter med ABB.
Vi värdesätter människor med olika bakgrund. Ansök idag för att ha möjlighet att bli aktuell för kommande roller och besök www.abb.com för att utforska hur vi driver utveckling över hela världen.
Denna position rapporterar till:
R&D Team Lead
Rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has shown significant potential to support proactive decision-making, improve operational efficiency, and manage complex, time-dependent processes in industrial settings. However, their adoption in high-stakes industrial domains remains challenged by issues such as trust, interpretability, and the handling of uncertainty, especially when decisions carry significant risk.
In industrial settings, AI will eventually be positioned so that operators can rely on AI to make decisions. Yet, when these decisions are critical and outputs are uncertain or ambiguous, how workers respond, and how systems can support them, remain unanswered questions.
This thesis investigates how AI systems and humans can collaborate when AI outputs are uncertain, and how that affects decision-making. Additionally, the thesis explores how Human-Machine Interfaces (HMIs) can be designed to better support users in interpreting and acting on such uncertainty when there is risk involved.
This thesis aims to delve into this topic, exploring questions such as:
- How do industrial workers respond to uncertain AI outputs?
- How can we design interactions that help users interpret and act on uncertain AI outputs?
- Explore what factors (such as risk) has an impact on operator decisions
- Explore what information is needed and how it could be communicated in critical situations to enable more confident decision support?
Both Human-AI interaction (HAI) and Explainable AI (XAI) are interdisciplinary fields, exploring how humans and AI systems communicate and collaborate in a clear, understandable and transparent manner. With a solid foundation in the industrial domain, this thesis aims to make a valid contribution to the area, specifically exploring - through user research and design prototypes, potentially design principles, UX patterns - how uncertainty can be managed to improve the decision support capabilities of AI systems.
Details
- Period: Spring 2026, typically between January - June
- Number of credits: 30 ECTS
- Number of students: 1 - 2
- Location: Västerås, Sweden. Possibility for remote work
Your role and responsibilities
- Conduct a literature review on uncertainty in AI and decision-making in industrial contexts
- Collaborate with domain experts to define user scenarios
- Design and prototype HMI concepts that explain and visualize uncertainty for end users without machine learning knowledge
- Plan and conduct user studies or expert evaluations to validate design concepts
- Document findings and contribute to knowledge on trustworthy AI systems
Your background
We are looking for motivated master's students with a strong interest in human-centered design and automation.
Candidates could have:
- Academic Background in one or more of the following fields:
- Human-Computer Interaction (HCI)
- Interaction Design
- Human Factors Engineering
- Cognitive Psychology or Behavioral Science
- Systems Design or Ergonomics
- Socio-Technical Systems
- Interest in Human-Automation Collaboration, especially in autonomous industrial contexts (e.g., energy, maritime, manufacturing)
- Analytical Thinking, with the ability to interpret complex operational scenarios and translate them into design requirements
- Strong Communication Skills, both in Swedish and English, to collaborate with cross-functional teams and present findings clearly
- Self-Driven and Curious, with a passion for solving real-world challenges in industrial automation and remote operations
More about us
ABB is a global technology leader in electrification and automation. We see our purpose as being to enable a more sustainable and resource-efficient future. By connecting our engineering and digitalization expertise, we help industries run at high performance, while becoming more efficient, productive and sustainable so they outperform. We call this: 'Engineered to Outrun.'
Recruiting Manager Dawid Ziobro, dawid.ziobro@se.abb.com, will answer your questions.
Apply with your CV, academic transcripts and a cover letter in English.
We look forward to receiving your application!
Join us. Be part of the team where progress happens, industries transform, and your work shapes the world. Run What Runs the World.
Kommande möjligheter Vänligen notera att denna annons syftar till att få in intresseanmälningar till en kandidatpool kopplat till det aktuella området, och det är därför inte en öppning till ett specifikt jobb just nu. Genom att ansöka uttrycker du ditt intresse för framtida karriärmöjligheter med ABB.
Vi värdesätter människor med olika bakgrund. Ansök idag för att ha möjlighet att bli aktuell för kommande roller och besök www.abb.com för att utforska hur vi driver utveckling över hela världen.
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