Neural Computation Scientist - Data-Driven Modeling

ClearCompany Talent Management Software; Washington; Híbrido; USD 87.000 - 108.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Relocation assistance

Visa sponsorship

Descripción de la vacante

The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. We study how brain circuits generate flexible behavior and use massive connectivity maps to distill theories of computation from neural data.

The Scientist will develop data-driven theories of circuit structure shaping neural computation, collaborating with experimentalists and presenting findings to the wider community.

Formación

• PhD in neuroscience, physics, applied mathematics, statistics or related field; or equivalent combination of degree and experience.
• Demonstrated ability to build theories of collective dynamics in systems of many interacting elements.
• Strong scientific-computing skills and familiarity with modern machine learning.

Responsabilidades

• Develop mechanistic models of many interacting neurons that can be fit directly to connectivity and neural activity data.
• Derive coarse-grained descriptions of these models, reducing them to a small number of variables that reveal which features of connectivity govern neural dynamics.
• Characterize the space of models consistent with a given dataset, and determine how connectivity constrains that space.
• Develop theories for how different perturbations narrow that space, and use them to identify the most informative experiments to perform next.
• Collaborate with experimentalists to turn theory into testable hypotheses about neural computation.
• Present results to collaborators and the wider scientific community through talks, conferences, and publications.

Conocimientos

Applied mathematics

Statistical physics

Modern machine learning

Collaborative research

Educación

PhD in neuroscience

PhD in physics

PhD in applied mathematics

PhD in statistics

Descripción del empleo

The Allen Institute accelerates science for a healthier world through large-scale research designed to answer some of the most complex questions in biology. We study how brain circuits generate flexible behavior and use massive connectivity maps to distill theories of computation from neural data.

The Scientist will develop data-driven theories of circuit structure shaping neural computation, collaborating with experimentalists and presenting findings to the wider community.