The PhD position is part of the Horizon Europe Framework Programme (HORIZON) Doctoral Network "Bridging Communication Gaps in Human and Human-AI Interactions: The Role of Accented Speech on Neurocognitive mechanisms and Social Dynamics (HUM.AI.N-ACCENT)".
A PhD position is available at the Center for the Study of Language and Society at the University of Bern. The successful candidate will conduct research on the perceived credibility of foreign-accented speakers in courtroom contexts (the specific accent/language combinations studied to be determined in consultation with the successful applicant). Using virtual reality to elicit attitudinal responses within information-rich environments, the PhD project will identify how social and role-linked stereotypes interact with individual listener factors to constrain how foreign accents are evaluated in legal settings. The goal of the project is to better understand the cognitive processes and reasoning methods that leads to foreign accent bias and the individual and context factors that moderate it. Project methods include experimental sociolinguistics and quantitative, variationist analysis.
The Doctoral Candidate (DC) will be part of an international network of 13 research labs located throughout Europe who work on the EU-funded HUM.AI.N-ACCENT project. The full consortium includes a total of 24 academic and non-academic partners in Europe, Canada and the US. As part of their training, the DC will attend regular events across Europe and conduct short stays (secondments) with at least two Beneficiary/Partner Organizations. The funding for the project in Bern will be provided directly by the Swiss State Secretariat for Education, Research, and Innovation, as stipulated in the funding guarantee of the Swiss government for EU-funded projects.
HUM.AI.N-ACCENT is an interdisciplinary research network that explores the neurocognitive and social impacts of foreign-accented speech in human-human and human-AI interactions. With millions of new arrivals to the European Union each year, there is an urgent need to understand how foreign accents influence communication, decision-making, and social dynamics. Research has shown that
foreign-accented speech can generate biases and increase cognitive load, yet the origins and consequences of these effects are still poorly understood. The HUM.AI.N-ACCENT network aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction, and social science, with lifespan perspectives. Using advanced methodologies like neuroimaging, eye-tracking, virtual reality, and neural tracking, the project will investigate how foreign-accented speech affects neural responses, attention allocation, and social judgments. By studying both human-human and human-AI interactions, the project will provide critical insights into how accents shape communication and behaviour in diverse contexts.
The successful candidate will receive interdisciplinary training in theories and methods for the study of linguistic variation, accent perception, cognitive processing, and accent bias, as well as general professional training for an academic career. Training will be delivered by both local and network-wide events and other (international) training opportunities.
The Center for the Study of Language and Society (CSLS) at the University of Bern is an interdisciplinary research center located in the Faculty of Humanities. CSLS research focuses on exploring how social changes affect languages and language use, how social beliefs and ideologies are reproduced and transmitted through language, and how, conversely, beliefs about language and language users have lasting social impacts. The CSLS offers a comprehensive research training programme, including advanced training in sociolinguistic field methods, quantitative and qualitative linguistic analysis, instrumental phonetic analysis, behavioural experiments, social media analysis, and research ethics. The CSLS maintains two state-of-the-art linguistic labs, featuring professional-grade audio recording, eye-tracking, VR and behavioural experiment stations.
Candidate Profile and Selection Criteria
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