Open Position


Type of Position: Research Fellowship (Bolsa de Investigação)

Type of Contract: Research grant

Duration: 5 Months

Limit to reply: 2021-Apr-20


The fellowship recipient will join a team of experienced researchers in a project whose goal is to apply model reduction techniques to the problem of simulating large networks of realistic neuron models. In particular the fellowship recipient is expected to be heavily involved with two of the project's tasks. The goals of these tasks include the following: - to develop what are known as gray or black-box modeling strategies based on machine learning techniques. Such techniques do not assume structural knowledge of the modeled systems to be available or explored, and instead work with generic internal information as well as input output behavior obtained from an executable representation of the system - to develop and analyse different automatic timestep control mechanisms for managing the time-domain simulation of such systems; such mechanisms must take advantage of the known or observable dynamics of the system and be based on variable timestep control algorithms


Luis Miguel Teixeira D Avila Pinto da Silveira



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