Research Associate
Core
Developing algorithmic foundations for closed-loop experimentation in computational neuroscience to understand brain-environment interaction.
Role type
Research Associate (Postdoc level)
Builds
Production ML models and software pipelines for closed-loop neural experimentation
Domain
Computational neuroscience / NeuroAI / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, signal processing, algorithm development, dynamical systems (state-space models), Python, deep learning frameworks (PyTorch, Tensorflow), software development
Preferred skills
Electrophysiological or optogenetic recordings data analysis, interdisciplinary collaboration, dynamical system identification techniques (Kalman filter, Dynamic mode decomposition)
Technologies
Python, PyTorch, Tensorflow
Responsibilities
Designing prototypes of software pipelines to embed models into closed-loop experimentation pipelines, developing new ideas and driving collaborative projects towards significant publications, mentoring PhD and MSc students
Seniority
Senior, hands-on IC