[FieldTrip] POST-DOC (data scientist): time perception, pose estimation, neural networks.

[Tadeusz Kononowicz]

POST-DOC (data scientist): time perception, pose estimation, neural networks.

Summary: The project investigates neurobehavioral basis of time perception and error monitoring. We use state of the art techniques to analyze behavior of human and rats performing in a complex behavioral task requiring estimation of time intervals.

Keywords: interval timing, time perception, error monitoring, metacognition, rats, pose estimation. 

Principal investigator: dr Tadeusz W. Kononowicz (https://scholar.google.com/citations?user=HfkBE50AAAAJ&hl=fr <https://scholar.google.com/citations?user=HfkBE50AAAAJ&hl=fr>; Twitter: @t_w_kononowicz)

Duration of the project: 12 months.

Working time: (40 hours/week)

Workplace: Psychology Institute, Polish Academy of Sciences PAN, Warszawa, ul. Jaracza 1; in collaboration with Dr Valerie Doyere (https://neuropsi.cnrs.fr/annuaire/valerie-doyere/).

Deadline for applications: Until the position is filled.

Requirements

- PhD degree in computer science, artificial intelligence, data analysis or related fields.

- Previous experience with image analysis, neural networks, pose estimation (DeepLabCut).

- High motivation for research work and strong interest in the subject of the project.

- Excellent programming skills: e.g., Python, R, Matlab ...

- Excellent knowledge of basic statistical methods.

- Fluency in English.

- Teamwork, communication skills, and commitment.

 

Duties

-  High level of independence is expected.

-  Data analysis, leading to a manuscript describing the results.

Candidates  can familiarize themselves with the description of the project:

https://www.dropbox.com/s/byzvp9lmz8u7o9w/General%20public%20summary.pdf?dl=0 <https://www.dropbox.com/s/byzvp9lmz8u7o9w/General%20public%20summary.pdf?dl=0>
https://www.dropbox.com/s/9ye18q7winecwc9/Flyer_opus.pdf?dl=0 <https://www.dropbox.com/s/9ye18q7winecwc9/Flyer_opus.pdf?dl=0>
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