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3 дня назад

Master Thesis - AI Agent Design for Trustworthiness (AI)

Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
b2
Страна
Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Master Thesis - AI Agent Design for Trustworthiness (AI): Developing and evaluating AI agent designs to improve transparency and trust in secure software development with an accent on validation methods and user trust models. Focus on creating proof-of-concept agent improvements and measuring user behavior and qualitative trust through established models.

Location: Lund, Sweden. Candidates must be affiliated with a Swedish University/College (directly or via exchange program).

Company

hirify.global is a global network technology leader providing innovative solutions in video surveillance, access control, and intelligent analytics.

What you will do

  • Evaluate how AI agent design aspects influence user trust levels.
  • Develop proof-of-concept design improvements for agents assisting in secure software development.
  • Implement transparency mechanisms for agent decision-making and validation.
  • Apply established trust models to measure user trust before and after design changes.
  • Collect and analyze quantitative user behavior data and qualitative interview data.

Requirements

  • Currently pursuing a Master's degree in Computer Science.
  • Affiliation with a Swedish University or College (including exchange students).
  • Strong interest in agentic design and AI-user interaction.
  • Ability to apply in pairs (the project is designed for two students).

Culture & Benefits

  • Opportunity to work with cutting-edge Generative AI in a professional corporate environment.
  • Collaborative, friendly, and open company culture.
  • Commitment to inclusion, diversity, and sustainability.
  • Chance to contribute to real-world tools for secure software development.

Hiring process

  • Submit application with CV and University grade summary.
  • Pairs must send individual applications while clearly naming their co-applicant.

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