Open Positions

We expect to announce the positions below soon.

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Object-level scene descriptions and attention in visual search

Synthesizing how humans extract information about objects

Computational models of task dependent object-based visual attention

Object-based attention in dynamic visual scene processing

Capabilities and consequences of recursive, hierarchical information processing in visual systems

Human-inspired interactive perception for robot

Probing properties of recursive, hierarchical information processing in visual systems

Mouse Lock Box

Analysis and modelling of intelligent behavior derived from mice solving a lock box paradigm

From understanding learners’ adaptive motivation and emotion to designing social learning companions

Educationally effective intervention methods for Intelligent Tutoring Systems incorporating cognitive, motivational and emotional components

Emotional and motivational states and traits in social learning interactions - an interdisciplinary approach

Knowledge-augmented face perception

Describing knowledge-augmented face perception

Synthesizing knowledge-augmented face perception

Multimodal Interaction and Communication

Communicating (with) robots: Multimodal information exchange in human-human and human-robot interactions

Robot Multimodal Interaction and Communication

Decoding partner-specific neural preparation in task-oriented human-human and human-robot interaction

Anticipation, Prediction and Behavioral Reliability in Social Interactions

Anticipation and prediction in robot interaction

Dynamical Collective Adaptation & Learning

Distributed Learning Control for Collective Problem Solving in Multi-Agent Systems

Collective Adaptation and Learning in Fish Schools

Learning of intelligent swarm behavior

Learning of intelligent swarm behavior

Quantifying and Modelling Collective Behavior of Fish across Ecological Contexts

Architectural design principles for intelligence – Modularity vs Integration

Architectural design principles for intelligence: Modularity vs. integation (analytical)

Architectural design principles for intelligence: Modularity vs. integation (synthetic)

Efficient Multi-task Deep Learning

Efficient Multi-task Deep Learning

Methodology of the synthetic approach

A comparative analysis of research prototypes as epistemic objects in intelligence research

Ethics of intelligence

Ethics of responsible design in robotics and AI

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