Postdoctoral position in Circuit and Computational Neuroscience

Postdoctoral position in Circuit and Computational Neuroscience
Italy
Step into a world of endless possibilities, together let’s leave something for the future!
At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting‑edge tools and technology, empowering researchers to push the limits of knowledge and innovation.

With us, your curiosity will know no bounds.
We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.

THE ROLE
In the framework of a joint research project between Dr. Raffaella Tonini (Neuromodulation of Cortical and Subcortical Circuits - NmCs) and Dr. Peter Neri (Sensory Processing and Computation), a postdoctoral position is available to work at the intersection between circuit and computational neuroscience.
The NmCs research unit applies a multiscale neuroscience approach to investigate how spatially and temporally diverse neuromodulatory signals converge in anatomically defined brain circuits to regulate aspects of motor and motivated behavior.
The goal of the Sensory Processing and Computation research unit is to understand how sensory signals are processed by neural devices (e.g. human, insect or fish brain) to control and drive behavior, where “understanding” comes in the form of accounting for all measurable aspects of sensory behaviour via computational models and mathematical tools.
The project investigates the fundamental principles underlying foraging strategies in living systems. We will extract metrics of foraging behavior with a particular focus on the trade‑off between exploration and exploitation. We will then develop a flexible computational framework to identify relevant neuronal structures, and design targeted experiments to link foraging behavior with large‑scale neural activity and neuromodulatory signals.

KEY RESPONSIBILITIES

Collaborate with experimentalists to integrate computational analysis with behavioral and neural data
Develop and apply computational tools for analyz ing high-dimensional data

ESSENTIAL REQUIREMENTS

PhD in Neuroscience, computer science, physics, or a related computational discipline

Experience with machine learning frameworks (e.g., Pytorch, Tensorflow)
Strong programming skills in Python (alternatively Matlab) and familiarity with scientific libraries (e.g., Num Py, Sci Py, pandas)

Experience with video analysis and processing of neural signals
The ability to properly report, organize, and publish research data
Excellent command of spoken and written English

ADDITIONAL SKILLS

Expertise in experimental paradigms to investigate cognitive functions in murine models
Strong problem‑solving attitude
High motivation to learn
Spirit of innovation and creativity
Good in time and priority management
Ability to work in a challenging and international environment
Ability to work independently and collaboratively in a highly interdisciplinary environment

COMPENSATION PACKAGE

Competitive salary package for international standards
Wide range of staff discounts
Candidates from abroad or Italian citizens who permanently work abroad and meet specific requirements, may be entitled to a deduction from taxable income of up to 90% from 6 to 13 years

Applications should include a cover letter, a CV, and the names and addresses (including e‑mail addresses) of at least two referees.
The position will remain open until filled.
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