PhD Student Human Factors Explainable AI (f/m/d)

Volkswagen Algérie; Wolfsburg; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

Join Volkswagen Group Innovation as a doctoral candidate specializing in human-centered AI. You'll work in the 'UX Insights and Concepts' team to explore Explainable AI in vehicles. This role involves researching AI usability, designing user studies, and deriving practical design features. Ideal candidates have a solid academic background in human factors or psychology, experience in user studies, and strong data analysis skills.

Qualifikationen

• Good to very good university degree in human factors or psychology.
• In-depth experience with user studies, especially study design.
• Good knowledge of data analysis and statistics.
• English C1; German B1.

Aufgaben

• Research approaches to make AI models explainable.
• Develop usage scenarios of Explainable AI in vehicles.
• Investigate usability, acceptance, and trust in xAI.
• Assess opportunities and risks of xAI in the automotive industry.

Kenntnisse

User insights

Data analysis

Usability

User experience

Ausbildung

University degree qualifying for doctoral studies

Jobbeschreibung

Work environment

Volkswagen Group Innovation continuously strives to develop innovative solutions for efficient, sustainable, safe and comfortable mobility. Our "UX Insights and Concepts" team is concerned with understanding occupants to design functions that enable a positive user experience. Current trends in artificial intelligence (AI) call for the investigation and understanding of AI use in the vehicle environment. As part of your three-year doctoral project, you will develop usage scenarios for Explainable AI (xAI) in the vehicle and investigate these using studies. Are you passionate about human-centered AI and eager to shape the future of mobility? Then we look forward to receiving your application and welcoming you to our team!

Possible Tasks within this Role

• Researching on approaches to making AI models explainable
• Developing potential usage scenarios of xAI in the vehicle
• Empirically investigating variables such as usability, acceptance, trust and preference towards xAI in the vehicle
• Assessing the opportunities and risks of xAI in the automotive industry
• Deriving design features for xAI
  
  

The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.

Qualification Requirements

• Good to very good university degree qualifying for doctoral studies in the fields of human factors, psychology or comparable fields
• In-depth experience with user studies, especially study design
• Good knowledge of data analysis and statistics
• English language level C1, German language level B1
• Knowledge of AI and Explainable AI desirable
  
  

Keywords

Human-Computer Interaction, Human-AI interaction, Trustworthiness, Technology acceptance, User insights, User perception, Usability, User experience