POSTDOCTORAL POSITION IN NEURODEVELOPMENTAL DISORDERS

• (2500001N)
  Commitment & contract: collaboration contract, up to 14 months
  Location: IIT Center for Neuroscience and Cognitive Systems (CNCS), Rovereto (TN)

ESSENTIAL REQUIREMENTS

• PhD degree in a discipline related to the work we do in the lab (e.g., Computational Cognitive Neuroscience, Neuroinformatics, Data Science, Machine Learning);
• Experience and expertise in neural time-series (EEG) data analysis;
• Coding skills in multiple languages (e.g., MATLAB, Python, R);
• Skills/experience with advanced statistical analysis and machine learning;
• Good command of both Italian and English languages (e.g., C1 or higher);
• Excellent writing skills and demonstrable evidence of high-level scholarly writing ability.

ADDITIONAL SKILLS

The following skills are helpful, though not essential or required for the position.

• Extensive knowledge and experience in the field of autism research;
• Motivation to pursue a career in academic research;
• Strong problem solving attitude;
• High motivation to learn;
• Spirit of innovation and creativity;
• Excellent management and organizational skills;
• Ability to work in a challenging and international environment;
• Ability to work independently and collaboratively in a highly interdisciplinary environment.

You will be working in a multicultural and multi-disciplinary group, where junior and senior scientists collaborate, each with their expertise, to carry out a scientific activity with a shared research goal.
The Neurodevelopmental Disorders Research Unit (PI: Prof. Michael Lombardo) is seeking 1 talented Postdoc as part of a research project focused on early intervention for infants with risk of developing an autism spectrum disorder. The research focuses on analysis of high-density electroencephalogram (EEG) data along with behavioral observational data collected as part of the intervention program.

Within the research team, your main responsibilities will be:

• Statistical analysis of EEG data, following best practices in open science and reproducibility;
• Data organization and management;
• Publishing research in international peer-reviewed journals;
• Facilitating work with the PI, post-docs, PhD students, and other research assistants in the lab.