ppIn a world where machines—computers, smartphones, wearables—are increasingly capable of performing complex tasks autonomously, the ways we currently instruct them have become a bottleneck, limiting communication bandwidth and our efficiency in shaping the world around us.
We are committed to playing a leading role in the next revolution in human-machine interfaces, building systems as transformative as the mouse and keyboard, the graphical user interface, and the touchscreen were before them.
/p h3Team /h3 pYou will join an exceptionally talented and diverse team—collaborative, deeply experienced in the field, and driven to build products that make a real impact on society and that we can all be proud of.
/p h3Job Responsibilities /h3 pWe 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.
/p pConcretely, you will: /p ul liMaintain and manage the inventory of all lab equipment, including tools and consumables /li liCo-design experimental paradigms and tasks for data collection /li liHandle participant recruitment, onboarding, compliance, briefing, and data collection /li liSet up the recording hardware (EMG, EEG) and manage hardware maintenance and quality control /li liRun and monitor large-scale experiments /li /ul pEngineering track: /p ul liMaintain and improve the data-collection backend and frontend, fixing bugs and issues as they arise /li liQuality-check collected data and perform signal preprocessing /li /ul pParticipant-facing track:



/p ul liMonitor the execution of data collection and provide participant support /li liEnsure privacy, ethical, and regulatory compliance /li /ul h3Experience /h3 ul liPrior 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.
/li liFamiliarity with the ethical and regulatory aspects of human?subjects research (informed consent, ethics?committee procedures) /li liGood communication skills and fluency in English /li /ul pEngineering track: /p ul liMSc or (preferred) PhD in Biomedical Engineering, Computer Science, Computational Neuroscience, or a related field /li liExperience working with the APIs provided alongside recording hardware (e.g., BrainVision, Biosemi, ANT, OpenBCI, or similar) /li liStrong Python skills, with the ability to build and maintain acquisition pipelines in code /li liComfort with scripting, reading hardware documentation, and debugging and troubleshooting an acquisition setup /li /ul pParticipant-facing track: /p ul liMSc in Medicine, Psychology, Biology, or a related field; the key qualification is hands?on, research?grade data collection /li liExceptional communication skills, empathy, and the ability to design comfortable, suitable experimental environments /li liExperience managing scheduling, communication, and the overall participant experience /li liBasic familiarity with programming fundamentals and core AI concepts—enough to answer participants' questions about what a study involves /li /ul h3Compensation /h3 pGross annual salary (RAL) of €35k–€50k for full?time, determined by your job?related skills, experience, and relevant education or training.
/p h3Position /h3 pFull?time or part?time ******h/week), on?site in Rome, Italy.
/p /p #J-*****-Ljbffr

📌 Biosignal Data Collection Specialist (Lazio)
🏢 Silenzio
📍 Lazio