Postdoktorer inom maskininlärning med fokus på luktperception
Core
Postdoctoral researcher developing AI models to simulate olfactory experiences and digitizing the sense of smell within an EU project.
Role type
Postdoctoral researcher (Machine Learning / Computational Neuroscience)
Builds
AI models for odor simulation and digital transmission of odors
Domain
Neuroscience, Chemistry, Machine Learning
Deliverable
production ML models
Required skills
Deep learning architectures (transformers, diffusion models, GNNs), Time-series modeling (EEG, video, sensor data), Chemical/structural data representation (graphs, SMILES), Multimodal representation learning, Signal processing, Statistical modeling of high-dimensional data, Python, PyTorch/TensorFlow/JAX
Preferred skills
Teaching and mentoring experience
Technologies
EEG, Video, Mass spectrometry, Graph Neural Networks, SMILES strings, PyTorch, TensorFlow, JAX
Responsibilities
Process and develop representation models for diverse data sources including time-series, text, images, and chemical data; Apply deep learning to multimodal data; Integrate heterogeneous data sources in cross-disciplinary teams.
Seniority
Postdoctoral (early career researcher)