The Max Planck Florida Institute for Neuroscience (MPFI) is seeking to expand its capacity for scientific computing and data analytics through a funded Neuro-AI Initiative, applying AI and machine learning to develop novel analytical tools and increase the pace of science.
Requirements
- PhD in Machine Learning, Computer Science, Biomedical Engineering, Computational Neuroscience, or related fields; or demonstrable equivalent experience
- Expertise in AI/ML (especially deep learning) applied to biological or neural data sets.
- Proficiency in Python and common machine learning frameworks (e.g. PyTorch, TensorFlow, Jax)
- A solid record of scientific publications and collaborative research
- 3+ years of postdoctoral research experience
- A strong background in systems neuroscience, neural recording techniques, or biosensor technologies
Responsibilities
- Work closely with MPFI’s experimental research groups to generate testable hypotheses and new insights into neural function.
- Develop deep learning frameworks to analyze large-scale, multi-modal neural data sets, including in vivo multiphoton functional imaging of neural populations, electrophysiology using high-density silicon probes, and behavior.
- Collaboratively develop a technology and data sharing platform to promote open science and foster collaboration.
- Work with the MPFI scientific community to adopt best practices in their data analysis workflows, and enhance the pace of scientific discovery.
Other
- PhD in Machine Learning, Computer Science, Biomedical Engineering, Computational Neuroscience, or related fields; or demonstrable equivalent experience
- Excellent communication and interpersonal skills
- Attention to detail as well as strategic thinking abilities
- High levels of discretion, professional judgement, ethics, and confidentiality
