Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Temporary employment
- Salary
- 4.759 to 6.764€ Gross/Month
- Location
- Duisburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will investigate how human trust in AI systems is formed, maintained, and miscalibrated, as well as the impact of transparency and accountability on user experience.
Your role in the team
- The Young Investigator Group Human Factors in AI Systems researches how AI shapes the way we think, feel, interact, and behave, as well as how AI influences our emotions, decision-making, and social connections.
- The general aim is to better assess, understand, and guide the effects of AI systems, ensuring a trustworthy, human-centered way of development and deployment.
- By taking an interdisciplinary perspective, the research combines insights from psychology, computer science, and human-computer interaction to better understand these complex dynamics.
- In doing so, the group seeks not only to analyze current challenges but also to develop frameworks and practical recommendations that support human-centered AI design and governance.
- To that end, we seek a PhD researcher to work on (a) human trust and trust calibration in AI systems, including how trust is formed, maintained, and potentially miscalibrated in interactions with AI; (b) cognitive and social attributions toward AI (e.g., mental state attribution), examining how people perceive, interpret, and make sense of AI behavior; and (c) formal and informal mechanisms of AI transparency, accountability, and certification, with a focus on how these mechanisms can enhance user understanding, oversight, and responsible use, (d) or related fields.
- Contributing to cutting-edge interdisciplinary research at the intersection of artificial intelligence, cognitive science, human-computer interaction, and ethical system design.
- Take ownership of a defined research direction aligned with the group's themes, working with a high degree of independence and initiative.
- Conduct research using methods appropriate to the project and your background, including quantitative and qualitative approaches.
- Publish and present research at top-tier venues and contribute to the academic community.
- Collaborate with researchers across disciplines and institutions (computer science, statistics, cybersecurity), contributing to a supportive and engaged research environment.
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Our expectations of you
Education
- A strong Master's degree in a relevant discipline (e.g., psychology, cognitive science, communication science, human factors).
Qualifications
- Excellent knowledge of empirical research methods and statistical analyses.
- Excellent analytical, writing, and communication skills in English.
- The ability to work independently and collaboratively in an interdisciplinary setting.
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What we offer
- The position is embedded in a creative, attractive, and internationally renowned research environment.
- With your work, you will play an essential role in developing our new Research Center and outreach with trustworthy technology to the general public.
- Our international network of researchers and industry partners offers a stimulating work environment.
- A balanced and family-friendly work-life relationship is important to us; thus, we offer flexible working times or part-time remote home office options.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Universität Duisburg-Essen
We are one of the youngest universities in Germany and we believe in limitless potential instead of possible limitations. With our 11 faculties, we develop ideas with a future at the heart of the Ruhr metropolis.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
PhD position Human Factors in AI systems
- Salary
- 4.759 to 6.764€ Gross/Month
- Location
- Duisburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
