Mission In 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.

Team

You 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.

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 tempo parziale (20–40h/week), on-site in Rome, Italy.

📌 Biosignal data collection specialist (Roma)
🏢 Silenzio
📍 Roma