Brain imaging methodologies, cognitive neuroscience, neural representation, advanced analytical tools for brain imaging, computational neuroscience, multivariate pattern analysis.
The appointed candidate will participate in the research activities of the MoMiLab Research Unit related to the analysis of brain activity through fMRI, EEG, ECoG, and its relationship with any behavioral, biological or clinical data, particularly in the research context of the regional project ‘THE - Tuscany Health Ecosystem’. The RTD-A Fellow should show expertise in the analysis of brain imaging data to conduct independent and original research projects, but also to support collaborative projects on advanced characterization of mental representations and brain-wide association studies. These projects will require the exploitation of novel data analytical tools (e.g., MVPA). In particular, research activities for the Tuscany Health Ecosystem projects may regard:
- Development of experimental protocols relying on neuroimaging methodologies
- Analysis of brain imaging dataset belonging to open-access (medical) image repositories
- Support to the data acquisition and processing of MRI data in the IMT-affiliated research centers
- Application/development of advanced MRI-based data analytical tools
The candidate must possess established expertise and a proven portfolio of research within the following fields: signal processing of MRI/EEG/ECoG/biosignal data; advanced analysis of brain functional data; computational models of naturalistic stimuli (e.g., movies, narratives); multivariate pattern analyses and representational geometries; machine learning applied to brain activity patterns evoked by naturalistic stimulation. Important criteria also include knowledge of current status of research in the field of brain imaging applied to behavioral, cognitive and affective neuroscience; possibly established national and international collaborations; a proven record of publications in international scientific journals.
PhD in a field related to the present call obtained in Italy or abroad. Curriculum with a suitable scientific background for carrying out research activity in the required field.
Ricercatore tempo determinato (legge 240/2010 art. 24 comma 3 lettera a))
3 years
Selection procedure and criteria
Selection procedure conditions are transparent and are based on international standards.
Procedure
A Selection Committee, appointed by the Rector, assesses all applications on the basis online application info. Applicants selected on the basis of the preliminary analysis are interviewed at the Job Market Meetings in which the Institute is planning to participate, if applicable to the specific academic sector. Alternatively, individual interviews may also be conducted at IMT or by conference call. Travel expenses to Lucca for the interview will be reimbursed.
Selection Criteria
The evaluation criteria are based on: Quality of research activity, including publications in peer-reviewed journals and references; Research organization experience and participation in international/national research projects and research periods in public and private institutions (academic and non-academic); Relevance of the candidate's profile for the development of IMT's research activities; Teaching, mentoring and supervision experience; Motivation; Excellent knowledge of English, both written and spoken; As well as any other requirements as specified in the advertisement.
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 Ph.D. (compulsory)
Attachments
- Your CV in English (compulsory);
- One research paper (published or working paper): compulsory.
Shortlisted candidates will be asked to present this research paper in the final stage of the selection.
Additional papers can be submitted for evaluation if desired (to be attached to your application in a single zip file where indicated in the online form). Please check the full call for further information about additional papers.