Starting in March 2023, the Hybrid Intelligence Center is looking to fill the following PhD student and postdoc vacancies. Projects marked with a star are currently open for applications.  

Supervisor: Catha Oertel, Technical University Delft
Co-supervisor: Piek Vossen, Vrije Universiteit Amsterdam

Short description:
Successful communication within a multi-party meeting depends on the creation of a common ground between interaction partners: what is relevant for oneself, what is relevant for the interaction partner(s). We focus on memory creation based on affective responses to conversational instances and their relation to real-world objects supporting the interaction.

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Supervisor: Daniel Balliet, Vrije Universiteit Amsterdam
Co-supervisor: vacancy

Short description:
CoDa is the first databank to represent an entire field of studies in the social sciences (human cooperation) in a machine-readable way which can be searched to select studies for on-demand meta-analysis. We will generalize CoDa to factors from economics (e.g., altruism, trust), sociology (e.g., social capital), and clinical psychology (i.e., treatments of depression), we will develop queries that can produce on-demand meta-analyses, and develop an interactive technique to create queries and update meta-analyses (e.g., text of the manuscript).  

Supervisor: Erik Bekkers, University of Amsterdam
Co-supervisor: Daniel Pelt, University of Leiden

Short description: 
We will develop techniques for collaborative human-computer image annotation of training sets for deep learning tasks. Our techniques will suggest relevant annotations to the human annotator, will indicate inconsistencies in the human annotations, and will use concepts from geometric deep learning to handle shapes of image annotations.

Supervisor: Roel Dobbe, Technical University Delft
Co-supervisor: Maarten de Rijke, University of Amsterdam

Short description: 
We will develop new methodologies to design for the emergent nature of hybrid intelligent systems. We will develop formal abstractions for the analysis and design of the dynamics of hybrid intelligent systems. These will inform practical design. methodologies that can enforce important emergent properties such as safety or justice in the emergent system dynamic 

Supervisor: Victor de Boer, Vrije Universiteit Amsterdam
Co-supervisor: Shenghui Wang, University of Twente

Short description: 
We will investigate interactive methods for eliciting annotations of heritage objects by users from a varied background (cultural, geographical, gender, a.o.). We will investigate methods to acquire this diverse knowledge through a variety of modalities (dialogue systems, VR, and others) combined with diversity-preserving annotation and crowdsourcing methods. 

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Vrije Universiteit Amsterdam


Vrije Universiteit Amsterdam is looking for a new colleague at the associate professor level to strengthen the research in Hybrid Intelligence, who will be closely aligned with the national research programme on Hybrid Intelligence. Examples of relevant areas of expertise are conversational AI, formal argumentation, computational social choice theory, multi-agent systems, plan recognition, safe and explainable reinforcement learning, explainable AI, computational game theory, causality, common-sense reasoning and AI in game playing, among others. Do not hesitate to apply if you have another area of expertise beyond this indicative list that is relevant to the study of Hybrid Intelligence.

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