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Department: | Modeling and Theory |
Scientist II- Understanding the Cortical Basis of Computation
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling and theory.
The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for this role.
Understanding the brain constitutes one of the foremost scientific challenges we face. Connecting circuit level neural mechanisms with the higher-level functions of sensory processing and behavior will likely require a synthesis of approaches, drawing from physics, biology, computer science, and statistics, guided by strong theoretical bases for cortical function.
We seek an exemplary scientist to join our efforts in understanding the cortical basis of computation. The successful candidate will pursue theoretical work on the circuit origins of the neural code to derive observable consequences for anatomical structure and neurophysiology of cortical networks as well as to understand their computational capacity.
The successful candidate will also perform data analysis on electron microscopic reconstructions of cortical tissue and physiological recordings from multiple modalities (optical- and electrophysiology). They will work closely with experimentalists to understand data and be able to participate in the process of experimental design.
The ideal candidate will have a background in machine learning, statistical physics, computational learning theory, and be familiar with a broad array of work in theoretical neuroscience, including predictive coding and Bayesian theories of cortical function.
Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.
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Preferred Education and Experience
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Additional Comments
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.