Andreas Riener

Professor

Technische Hochschule Ingolstadt
Country flagGermany

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Prof. Andreas Riener is a faculty member specializing in Human-Machine Interaction and Virtual Reality at Technische Hochschule Ingolstadt in Germany. His research focuses on the impact of driver assistance systems, simulator fidelity, and human-vehicle cooperation, as evidenced by his recent studies on driving behavior and safety interventions. He investigates the interactions between cyclists and vehicles, as well as the implications of automated driving on user experience and safety within shared transportation systems.

Positions (1)

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Andreas Riener

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Technische Hochschule Ingolstadt

Technische Hochschule Ingolstadt (THI), through the CARISSMA Institute of Automated Driving (C-IAD), is recruiting a PhD candidate for research in Driver Behavior Modeling and human-centered automated mobility systems. The position is part of the newly funded DFG Research Impulse “Beyond Validation AI” , an interdisciplinary initiative focused on safety, uncertainty, and trustworthy AI in connected and automated mobility. The project combines Human-Computer Interaction , Human Factors , Explainable AI , Machine Learning , Automated Driving , and behavioral research. Research topics include driver and vulnerable road user behavior modeling, cognitive modeling and decision-making, traffic psychology, eye tracking, psychophysiology, motion capture, VR/MR studies, driving simulator experiments, and real-world studies. The role also involves developing and evaluating machine-learning and XAI methods as well as innovative human-machine interfaces for automated driving. Applicants should have an M.Sc. or equivalent in Computer Science, Human Factors, Psychology, AI, Data Science, Engineering, or a related field. Strong analytical and programming skills are expected, together with experience in experimental research and quantitative analysis. Very good English (C1 or equivalent) is required; German at B2 is advantageous. The position is fully funded as a TV-L E13 PhD role and is available until 31.12.2029 . THI offers access to advanced research infrastructure including driving simulators, VR/MR environments, eye tracking, motion capture, and psychophysiological sensing systems, plus flexible working conditions and home-office options. Application deadline: 2026-07-13. Apply via the linked THI application page and submit the required documents before the deadline.

3 months ago

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Collaborators (4)

Michael Nees

Associate Professor

Lafayette College

UNITED STATES
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Klaus Böhm

Professor

Munich University of Applied Sciences

GERMANY
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Hans-Georg Schweiger

Professor

Technische Hochschule Ingolstadt

GERMANY
View details

Alexander Maedche

Professor

Karlsruhe Institute of Technology

GERMANY
View details
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