Postdoctoral fellow applicants: We are always looking for enthusiastic and motivated scientists who enjoy applying biological, computational, and/or engineering approaches to understand the brain and behavior to build better artificial systems. We especially encourage applications from female scientists. If you are interested, please email Pavan with your CV, specific Research Interests, and contact information for three professional reference letter writers.
Doctoral student applicants: We accept PhD students from any of the following EPFL Doctoral programs: Neuroscience (EDNE) / Robotics (EDRS) / Bioengineering (EDBB) / Quantitative and Computational Biology (EDCB).
We currently have openings in the following interdisciplinary areas:
Key techniques: 2-photon microscopy experiments, machine learning-based neural and behavioral data analysis, genetics.
Key techniques: 2-photon microscopy, machine learning-based neural and behavioral data analysis, genetics; and/or computational simulations and neural network modeling
Key techniques: Robotic high-throughput experimentation, machine learning-based behavioral data analysis, genetics.