Sort by
Refine Your Search
-
Country
-
Employer
- CNRS
- Delft University of Technology (TU Delft)
- EPFL
- European Space Agency
- Inria, the French national research institute for the digital sciences
- KTH Royal Institute of Technology
- Leiden University
- Stanford University
- UNIVERSIDAD POLITECNICA DE MADRID
- Universiteit Leiden
- University of Connecticut
- Wuhan University
- 2 more »
- « less
-
Field
-
acoustic field reconstruction techniques using sensors integrated into wearable devices. - Develop new experimental techniques for capturing audio signals and manipulating sound fields, with direct
-
machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
-10346 Requirements Skills/Qualifications PhD in Computer Science, Machine Learning, Signal Processing, or a closely related field, completed or nearly completed at the start date. Strong background in
-
to young and talented scientists with the ambition to grow. For more information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing
-
network that allow different sound dimensions to propagate along the auditory pathway. Frequency representation, or tonotopy, is present as early as the peripheral level, and the relationship between neuron
-
multimodal sensing using vision, audio and physiological signals. The project will also focus on developing interactive systems that support real-time dialogue and user questioning, with deployment in
-
interfaces / gesture-sound mapping - Knowledge of machine learning and signal processing - Knowledge of speech science and prosody - Real-time Max/MSP programming - Strong motivation to conduct behavioural
-
expertise in some of the listed areas are nevertheless encouraged to apply. - Experience in human-computer interfaces / gesture-sound mapping - Knowledge of machine learning and signal processing - Knowledge
-
of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
-
geometry • Mathematical physics Requirements • Possess strong academic integrity, sound professional ethics, and a rigorous scientific attitude • Generally have obtained Ph.D. degree within the past three