Master's Thesis Worker - Beyond Human-in-the-Loop Learning

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Mjukvaruutveckling

I korthet

This Master's thesis explores the future of data ecosystems and human-AI interaction in commercial vehicle R&D, focusing on system resilience and evolving engineering roles. The research will contribute to building resilient data systems and preparing engineering teams for increasingly autonomous and connected technologies within TRATON Group.

Ansvarsområden

Conduct a pre-study of research and organizational expectations concerning AI-enabled R&D, data ecosystems, system resilience, and future engineering work.
Select a relevant research context within Battery & Charging in dialogue with supervisors and stakeholders.
Design and conduct a mixed-method study with relevant domain experts and other stakeholders.
Explore how domain teams' responsibilities, decision-making, and oversight may change as data systems become more connected and automated.
Examine what resilience means for the selected data systems and infrastructures, including how they remain reliable and adaptable as conditions change and how people can recognize when attention or intervention is needed.
Investigate the capabilities and skills engineers may need to understand, assess, and work with these systems.
Develop an evidence-informed future scenario, framework, or early-stage indicators to support discussion of system resilience, future capabilities, and investment milestones.
Translate the findings into recommendations for resilient data ecosystems, B&C capability development, and AI investment planning for analytics enablement.

Krav

An educational background in human–computer interaction, cognitive science, industrial engineering, autonomous systems, data science, computer science, or a related field.
Previous experience in mixed-methods research and creative research approaches, such as speculative design, provocative design, or practice-based inquiry.
Experience from research, academic, or professional projects involving digitalization, data-driven practices, AI, or other emerging technologies.
An interest in one or more of the following areas: digitalization, human–AI interaction, more-than-human design, datafication, or socio-technical systems.
Ability to engage critically with complex and emerging technologies, including their social, organizational, and ethical implications.

Förmåner

Thesis work is an excellent way to get closer to Scania and build relationships for the future.
Many of today's employees began their Scania career with their degree project.
Work closely with experts in AI, product development, and data engineering.
Research can directly shape the way we build the future of transportation.
Background check might be conducted for this position.

Färdigheter

AIdata sciencecomputer sciencehuman-computer interactionindustrial engineeringautonomous systemscognitive sciencedata engineering

#Scania#TRATON#data ecosystems#AI#resilience#human-in-the-loop#future of transportation#KTH

Om Scania Group

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. Employing more than 50,000 people in about 100 countries, Scania’s research and development is concentrated in Sweden, while production takes place in Europe and South America.

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Företag

Scania Group

Publicerade jobb

för 2 dagar sedan

Upphör

om 4 veckor

Anställningstyp

Tillfällig

Arbetsform

Hybrid

Erfarenhetsnivå

Junior

Platser

Södertälje, Sweden

Kvalifikation

Masterexamen

Sökande

Ansök tidigt

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Region Skåne

Lund, Sweden

Master's Thesis Worker - Beyond Human-in-the-Loop Learning

Ansvarsområden

Krav

Förmåner

Färdigheter

Om Scania Group

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