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1–2 jobs· newest first

Master Thesis: Reducing AI Fatigue in Developer-AI Review InteractionNew
Ericsson · Karlskrona, Sweden
On-site
Master Thesis: Adaptive Test Selection using Knowledge Bases and Code Property GraphsNew
Ericsson · Karlskrona, Sweden
On-site

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Master Thesis: Reducing AI Fatigue in Developer-AI Review Interaction

Ericsson · Posted Nov 10, 2026

Karlskrona, Blekinge, Sweden
On-site

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Investigate lower-friction human-AI interaction across lifecycle review activities as part of a Master Thesis at Ericsson.

Responsibilities

Characterize and measure AI fatigue
Identify friction points across lifecycle reviews
Prototype lighter interaction techniques
Run user studies
Produce fatigue model and interaction guidelines

Requirements

Bachelor's or equivalent in AI, Computer Science, Human-Computer Interaction or related field
Nice to have: Interest in UX methods
Nice to have: Running user studies

Skills

Knowledge in AI Computer Science Human-Computer Interaction Programming language experience

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Master Thesis: Adaptive Test Selection using Knowledge Bases and Code Property Graphs

Ericsson · Posted Nov 10, 2026

Karlskrona, Blekinge, Sweden
On-site

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Master Thesis investigating adaptive test selection at the Application Component level across the software lifecycle.

Responsibilities

Investigate adaptive test selection techniques
Define exploration areas within the project
Extract code property graphs
Combine CPGs with knowledge bases
Evaluate effectiveness of CPGs and knowledge bases

Skills

Knowledge in AI Computer Science Programming language experience

See full job description