Accurate detection of precise spiking motifs in neurobiological data

KEY WORDS

algorithm, computational neuroscience, engineering

CITY

Marseille

COUNTRY

France

DETAILS OF THE OFFER

Working place: the INT

Missions:

Applications are welcome for a fully funded 18-month postdoctoral position for the development of an algorithm for the accurate detection of precise spiking motifs in neurobiological data.

The project is funded by the polychronies grant (AMX-21-RID-025) and coordinated by Laurent Perrinet together with Thomas Schatz (theory) and Rosa Cossart (neurobiology).

Qualifications:

Candidates should have experience in computational neuroscience, physics, engineering, or related fields, and a strong background in machine learning. The candidate must have good computer science skills (programming skills, git versioning, …) and Python programming experience is required. A multidisciplinary background would be highly appreciated, especially an advanced knowledge of mathematics. The candidate must have a strong interest in neuroscience. The candidate must be fluent in English and willing to proactively interact with partners in different communities, including theoretical neuroscience, machine learning, or neurobiology. The preferred candidate should have the ability to work independently and be flexible to adapt to the working methods of the supervisors.

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TYPE OF JOB

Postdoc

TYPE OF CONTRACT

CDD (temporary / 18 months)

EMPLOYMENT START DATE

1 OCT 2023 (can be arranged flexibly to suit the candidate)