PhD position in Multimodal Behavioral Pattern Recognition using Machine Learning

University of Zurich
October 20, 2023
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Department for Computational Linguistics / Digital Society Initiative

PhD 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
  • Collection of data representing naturally occurring human interactions in collaboration with other team members.
  • Processing speech, gesture and mimics using state-of-the-art speech analysis and computer vision tools and analyzing biometric information in each signal using machine learning methods.
  • Writing cumulative doctoral dissertation describing results, composed of at least three peer-reviewed scientific articles.
  • Collaborate with team members and other researchers and institutions.
  • Participate in international conferences and public outreach activities.
  • The doctoral project will be co-supervised by Prof. Dr. Volker Dellwo and Dr. Teodora Vuković.

    Your profile
  • Master's degree in the field of computer science, statistics, artificial intelligence, computational linguistics, computer vision, biometrics, biomechanics, acoustics, or related field.
  • Strong programming skills, with experience in Python and deep learning frameworks.
  • Strong background in machine learning, signal processing, and statistics.
  • Strong analytical and problem-solving skills.
  • Experience in natural human data collection is a plus.
  • Interest in behavioral pattern recognition and analysis of human interaction.
  • Interest in developing innovative research methods and approaches.
  • The ability to work independently as well as in a team.
  • Excellent written and verbal English competence.
  • What we offer
  • Four-year PhD funding.
  • DSI PhD Excellence Program - highly successful PhD program with graduates at top-rated institutions worldwide
  • The opportunity to work with leading experts in the field in an inspiring interdisciplinary and international working environment.
  • Excellent working conditions with state-of-the-art facilities at the University of Zurich.
  • The opportunity to participate in international conferences and workshops.
  • The opportunity to live in Zurich, one of the world's most attractive cities
  • Pay rates for PhD candidates are based on the standards set by SNSF.
  • Place of work

    Institut für Computerlinguistik, Andreasstrasse, Zürich, Switzerland

    Start 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.

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