Brain structural data processing in sensory deprivation

1 Research Project Grant position
(Deadline March 1st, 2022 12:00 )
Profile

IMT Lucca invites applications for a junior Research Collaborator in neuroimaging and advanced imaging data processing in sensory deprivation. Specifically, the MOMILAB research group is interested in investigating the neural mechanisms underlying perceptual, cognitive and affective processes.
The ideal candidates must have at least a 3-year experience in a relevant subject area (e.g. neuroscience, psychology or neuroimaging), possess excellent statistical and computer programming skills, and preferentially have a good record of high quality publications. Strong experience with advanced methodologies in brain imaging is required.

Activity

The candidate will be responsible for the completion of the analytical activities of a dataset of cerebral structural MRI of congenitally blind and acquired blind subjects, shared by various international research groups, aimed at understanding the anatomical modifications underlying the plastic reorganization that occurs in subjects deprived of a sensory modality from birth. The candidate will also have to contribute to the finalization of the scientific reports and to the dissemination of the project activities.

 

Formal requirements
  • Master Degree in Psychology, Neuroscience, Medicine or other fields related to the topic of e research
  • Excellent spoken and written english
  • PhD not compulsory but preferable
Specific requirements
  •  The candidate should possess excellent statistical and computer programming (i.e., Matlab, C++, Python, etc.) skills.
Duration

6 months, renewable 

Gross amount

7.671,64 €

Project

“Analisi dell’impatto di strategie di intervento di carattere neuroscientifico sul benessere aziendale in lavoratori con disabilità sensoriali” (Tutela for Disability) codice P0221, CUP: D69J21016790007;

Job Research Area: 
NS
Job Research Unit: 
MOMILAB
Job Contract Type: 
Borsa a progetto - Project fellowship

Application

Apply ONLINE only.

Before filling in the application form, please read thoroughly the full call and collect all the files you may need:

Info

  • Personal info and contact info (compulsory);
  • University degree (compulsory);
  • PhD (compulsory only if stated in the full call).

Attachments

  • The scanned copy of a valid identity document (Passport or Identity Card - compulsory);
  • Your CV in English (compulsory).
Contacts: