Computational Neuroscientist

About us:

At Eon, we are at the forefront of large-scale neuroscientific connectomic data collection. Our mission is to enable the safe and scalable development of brain emulation technology to empower humanity over the next decade, starting with a digital twins of a fruit fly and a mouse.

At Eon, we intend to create a embodied digital twins of animals. This role would create embodied Drosophila that perform tasks using existing physics simulations (Mu Jo Co ). They would integrate these body simulations with connectome-based brain simulations to create the realistic, embodied brain models. Extensive, hands‑on experience with computational neuroscience is required.

• Use existing embodied fly models (e.g., Flybody, Neuro Mech Fly /Flygym) to simulate Drosophila melanogaster behaviors.

• Create compelling demonstrations of virtual flies performing tasks in a virtual environment.

• Customize and iterate models to achieve biologically plausible behaviors.

• Document all code and workflows to ensure reproducibility.

• Creation of virtual environments and bodies in Drosophila, and eventually mice.

• Proficiency in Python, and familiarity with scientific computing libraries (e.g., Num Py, Matplotlib).

• Experience with brain or biomechanics simulation tools (e.g., Mu Jo Co , the Gymnasium API, Flybody, Flygym, Brian2).

• Knowledge of neuroscience, computational biology, or related fields. Background in Drosophila neuroscience would be ideal.

• Strong ability to create polished and engaging visualizations.

• PhD or equivalent qualifications in neuroscience or related field would be ideal, but is not required.

These are examples of projects that you would be working on when joining us:

• Creation of embodied, virtual flies

• Visualization of brain activity

• Planning experimental data collection to best complement our computational biology data sets

Competitive salary, including equity, apply.