Department for Computational Linguistics / Digital Society InitiativePhD position in Multimodal Behavioral Pattern Recognition using Machine
Learning 60 %
Become a part of cutting-edge research in person identification using AI based on behavioral biometrics at the University of Zurich.
We are seeking a highly motivated and talented individual to join our research team as a PhD student in the area of person identification analysis using communication signals of speech, gestures, and mimics using AI. The successful candidate will work on an exciting and challenging research project that aims to develop advanced AI-based algorithms for person identification analysis using communication signals.
The project: The PhD position is part of an innovative research project titled "Computational analysis of personal identity in interaction: Recognition and ethics - CAPIRE" at the Digital Society Initiative and Department for Computational Linguistics, University of Zurich. This interdisciplinary project aims to develop advanced computational models for person identification analysis using multimodal communication signals such as speech, gestures, and facial expressions. The research will involve analyzing large datasets of human interaction data and applying state-of-the-art machine learning methods to identify unique patterns indicative of personal identity.
As a PhD student in this project, you will be part of a vibrant and supportive research environment that values young scholars' research and careers.Your responsibilities
The doctoral project will be co-supervised by Prof. Dr. Volker Dellwo and Dr. Teodora Vuković.Your profile
Institut für Computerlinguistik, Andreasstrasse, Zürich, SwitzerlandStart of employment
Applications will be reviewed on a rolling basis starting from May 2023 until the position is filled. Please submit your application via the link to the online application tool only. The position will start in October 2023.
Please submit your application containing your CV, university transcripts (include additional education or coursework if applicable), short letter of motivation (max. 2 pages A4), link to writing / research sample and contact information for at least two references. We encourage applications from women and ethnic minorities.
Job position: Dr. Teodora Vuković and Prof. Dr. Volker Dellwo. Contact: [email protected] PhD Program: Dr. Sascha Vollmin Department manager: Alexandra Bünzli, lic. phil.