Italy In order to be admitted into the ARC program, the minimum requirements are
- a Masters-level degree, which broadly corresponds to a 4/5-year undergraduate MSc/MChem/Meng-style degree or to a postgraduate Masters in the British system, or to a second level University degree in Italy;
- where English is not the applicant’s first language, a valid IELTS (International English Language Testing System) certificate. The minimum acceptable score is an overall 6.5, with no less than 6.0 in any of the four categories One PhD fellow position **will be available from 1st of October**in the**Microtechnology for Neuroelectronics**Unit, led by its Principal Investigator, Luca Berdondini. **Title of the project** Data processing and control models for closed-loop neuromodulation with active dense neural probes **.**
- Description: _Your project will form part of the Neurotechnology Work Package within the Brain and Machines Flagship at IIT. In line with the Flagship’s overarching goal of advancing our understanding of intelligence in both biological and artificial systems, your research will concentrate on creating computational methods for continuously acquiring and processing multiscale and multimodal neural data from animal models in a behavioural context. These methods will support feedback-controlled interventions aimed at studying brain functions and investigating strategies for mitigating deviations from physiological conditions associated with disease. The project will primarily be carried out within the Microtechnology for Neuroelectronics Research Unit, which is led by L. Berdondini. The unit has an excellent track record in high-resolution electrode neurotechnologies and neuroscience research,



and is actively involved in promoting innovation through technology transfer and startup integration. You will also collaborate with other IIT research units specialising in AI and neuroscience. The core objective of your research is to develop real-time processing and AI-driven control strategies to enable longitudinal studies in mice. These studies will leverage the rich data provided by chronically implanted active dense neural probes to explore new avenues for brain-machine interaction based on multiscale neural signals, particularly in the context of disease. Key responsibilities: - Develop computational approaches to extract and quantify features representing brain states during animal behaviour, using high-resolution neural data from chronically implanted intracortical CMOS probes.
- Implement real-time processing pipelines and integrate them into computing hardware for closed-loop neural feedback control.
- Collaborate with co-PIs to advance the analysis and interpretation of neural signals and evaluate the effectiveness of AI-based control models. **Main Supervisor**:Luca Berdondini** (**Microtechnology for Neuroelectronics**) Additional Supervisor: Gian Nicola Angotzi **(**Microtechnology for Neuroelectronics**) Additional Supervisor: Matteo Vincenzi **(**Microtechnology for Neuroelectronics**) Essential expertise:



- An undergraduate degree in Computer Science, Physics, Bioengineering or equivalent
- Experience in coding for neural data analysis (Python or equivalent)
- Expertise in data management for high-resolution neural data Desirable expertise: - Previous experience in electrophysiology, AI models and/or machine learning is a plus
- Ability to work in a challenging and international environment
- Analytical Reasoning skills and a growth mindset **How to apply**. Prospective students must submit using the online form the following documents
- 2-page CV, which includes studies, expertise and achievements.
- 1-page research statement, which includes the choice of a project from the list above and a justification of the choice. Only if robustly justified, the student may signal their interest also for a second project, but there is no guarantee that this will be taken into account by the selection panel.
- A transcript of undergraduate and postgraduate studies.
- A valid IELTS certificate, obtained no more than two years before the proposed registration date.
- Contact details of two referees. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles’ evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security.

📌 Phd Fellow in Neurocomputation (Genova)
🏢 Istituto Italiano Di Tecnologia
📍 Genova