Titolo in italiano: Analisi e modulazione offline e in tempo reale dell'attività cerebrale durante la veglia e il sonno
electrophysiology, eeg data analysis, programming, open science, sleep
The ideal candidate should possess: PhD in Neuroscience or related fields; Good track record including research experience and outcomes related to the collection, processing, and analysis of electrophysiological data; Experience with advanced analysis of M/EEG data, including as time-frequency analysis and source modeling; Experience with open science practices; Solid programming and statistics skills.
The appointed candidate will participate in the activities of the Sleep, Plasticity, and Conscious Experience research group, within the MoMiLab Research Unit, the Cognitive Neuroscience community of the IMT School for Advanced Studies Lucca. In particular, they will: i) plan, program, and test experimental paradigms for open- and closed-loop sensory stimulation during wakefulness and sleep; ii) analyze behavioral and electrophysiological data, including high-density EEG (256 electrodes), EMG, and EOG recordings; iii) contribute to the scientific supervision of PhD students during the development of their research project.
- PhD in Neuroscience or related fields (preferably obtained in the last five years);
- Good track record including research experience and outcomes related to the collection, processing, and analysis of electrophysiological data;
- Solid programming and statistics skills;
- Excellent knowledge of both written and spoken English.
- Experience with advanced analysis methods for M/EEG data, including time-frequency analysis and source modeling;
- Experience with open science practices;
- Ability to work in a team.
2 years, renewable
€ 31.260,00/year
BIO/09 - fisiologia
REMEDY – “Riattivazione dei ricordi durante il sonno come strumento per modulare le esperienze oniriche e indagare il ruolo dei sogni nel processamento delle memorie e nella regolazione emotiva” (codice R2049C8YN3) - codice P0269, CUP: D67G22000540006
Application
Apply ONLINE only.
Before starting prepare the application attachments and information as listed below.
Info
- Personal info and contact info (compulsory)
- Number of your Identity Document (Passport or Identity Card) (compulsory)
- University degree and ongoing PhD (compulsory)
Attachments
- Your CV in English (compulsory)