Dear comp-neuro community, I am writing on behalf of *Silenzio*, a newly founded startup developing a new generation of human–machine interfaces based on non-invasive neural and physiological signals. Our goal is to build systems that can decode human intent more directly than traditional interfaces. We are currently expanding our team and looking for researchers and engineers excited about neural decoding, NeuroAI, biosignal processing, and human–machine interaction. We are hiring for two roles: an *AI Research Scientist* and a *Biosignal Data Collection Specialist*. We believe that as machines become increasingly capable, the bandwidth of human-to-machine communication will become one of the key bottlenecks in how effectively we interact with them. Therefore, we are assembling an exceptionally talented international team and are actively seeking people who are excited to embrace our mission and help us build what we believe will be the future of interfaces. If this resonates with you, we invite you to explore our open roles listed below and consider joining us. If you are interested, please write to us at *jobs@silenzio.io <jobs@silenzio.io>* with a copy of your CV attached, mentioning *“AI Research Scientist”* or *“Biosignal Data Collection Specialist”* in your application. We would like to fill these positions on a rolling basis, starting in *fall 2026*. *1. AI RESEARCH SCIENTIST* *Job Responsibilities* Your core responsibility will be the modeling and software side of developing a novel human-machine interface device that decodes intent from neural, bio-, and physiological non-invasive signals. Concretely, you will: - Stay current with recent scientific literature in neuroAI - Implement and adapt existing models - Design and implement state-of-the-art decoding (and encoding) models for neural and bio-signals, capable of translating text, actions, and more broadly "intents" into instructions for machines - Reason from first principles to design novel solutions to open problems in human-machine interfaces, including new AI architectures and pipelines - Quality-check data and aggregate diverse datasets, both public and private - Preprocess neural data—multivariate time-series such as EMG, EEG, and invasive neural recordings—and standardize it into common formats - Integrate (or support the integration of) developed models into proprietary data-acquisition pipelines and decoding systems - Monitor and track experiments, and write documentation and scientific reports - Communicate and collaborate closely with the team, brainstorming ideas and implementation paths *Experience* - MSc in computer science, computational neuroscience, bioengineering, physics, mathematics, or a related field (PhD preferred) - A proven track record of designing, building, and shipping deep learning products—e.g., publications at top-tier venues (NeurIPS, ICLR, Nature-family journals, or similar) and/or the development and ideally deployment of AI models in real-world applications - Strong proficiency in Python and AI-oriented libraries such as PyTorch, Lightning, Hugging Face, and scikit-learn - A solid foundation in (bio-)signal processing, algorithms, and software engineering principles - Excellent communication skills, fluency in English, rigor, and the ability to work effectively with an international team Preferred: - Experience with EEG, EMG, or invasive neural recordings, and with data-collection pipelines - Experience designing, developing, or fine-tuning LLMs or ASR models - Experience with self-supervised learning and multi-GPU large scale training of deep learning models Bonus: - Basic web-app development skills, and a good understanding of and taste for design *Compensation* Gross annual salary (RAL) of €50k–€80k, determined by your job-related skills, experience, and relevant education or training. *Position* Full-time (40h/week), fully remote within Italy. Occasional on-site presence or travel is required—for integrating models into production systems and attending conferences and events. *2. BIOSIGNAL DATA COLLECTION SPECIALIST* *Job Responsibilities* We are looking for people to run EEG/EMG data acquisition end-to-end: co-designing experimental protocols, recruiting and welcoming participants, collecting signal data, and preparing it for analysis. We are recruiting across two distinct tracks—engineering-oriented and participant-facing. Apply to the one that fits you best. Concretely, you will: - Maintain and manage the inventory of all lab equipment, including tools and consumables - Co-design experimental paradigms and tasks for data collection - Handle participant recruitment, onboarding, compliance, briefing, and data collection - Set up the recording hardware (EMG, EEG) and manage hardware maintenance and quality control - Run and monitor large-scale experiments *Engineering track:* - Maintain and improve the data-collection backend and frontend, fixing bugs and issues as they arise - Quality-check collected data and perform signal preprocessing Participant-facing track: - Monitor the execution of data collection and provide participant support - Ensure privacy, ethical, and regulatory compliance *Experience* - Prior hands-on experience acquiring EEG and/or EMG data. This is non-negotiable: we need someone who has already sat with participants, placed electrodes, monitored signal quality in real time, and troubleshot acquisition problems as they happen. - Familiarity with the ethical and regulatory aspects of human-subjects research (informed consent, ethics-committee procedures) - Good communication skills and fluency in English *Engineering track:* - MSc or (preferred) PhD in Biomedical Engineering, Computer Science, Computational Neuroscience, or a related field - Experience working with the APIs provided alongside recording hardware (e.g., BrainVision, Biosemi, ANT, OpenBCI, or similar) - Strong Python skills, with the ability to build and maintain acquisition pipelines in code - Comfort with scripting, reading hardware documentation, and debugging and troubleshooting an acquisition setup *Participant-facing track:* - MSc in Medicine, Psychology, Biology, or a related field; the key qualification is hands-on, research-grade data collection - Exceptional communication skills, empathy, and the ability to design comfortable, suitable experimental environments - Experience managing scheduling, communication, and the overall participant experience - Basic familiarity with programming fundamentals and core AI concepts—enough to answer participants' questions about what a study involves *Compensation* Gross annual salary (RAL) of €35k–€50k for full-time, determined by your job-related skills, experience, and relevant education or training. *Position* Full-time or part-time (20–40h/week), on-site in Rome, Italy. Matteo Ferrante, Lead AI scientist at Tether Evo & CEO of Silenzio SRL.