Announcing the Anthriq Fellowship Program: Supporting the next wave of neurotech research

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We are launching the Anthriq Fellowship Program to support researchers working at the frontier of biosignals and human-aware systems. Designed as an integrated research environment, the fellowship helps researchers move their work forward with stronger systems, deeper experimentation, and more reliable outcomes.
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Biosignal research is entering a phase where early signs of progress are becoming clear. Across labs and independent research efforts, strong hypotheses are being formed, early datasets are being collected, and promising results are emerging.

The next step is extension.
Taking these early signals and developing them into work that is consistent, reproducible, and publishable. The Program is built to support that progression.

By supporting researchers with the systems and environment required to extend their work, the Program aims to contribute to the development of more robust, scalable, and impactful neurotechnology.

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Advancing biosignal research through continuity

Over the past decade, advances in sensing technologies, machine learning, and computational methods have expanded what is possible in biosignal research.
Signals such as EEG, EMG, and ECG are now being used to study cognition, movement, and physiological state with increasing precision. At the same time, the nature of these signals requires a particular approach to research.

Biosignals are dynamic, context-dependent, and variable across individuals. Meaningful insights emerge through iteration across sessions, across conditions, and over time.

As a result, the trajectory of a research idea is shaped not just by its premise, but by the environment in which it is developed. The ability to run longitudinal studies, refine protocols, and work with consistent pipelines plays a central role in how far that idea can go.

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An ecosystem for ongoing research

The Anthriq Fellowship Program is designed as a connected research ecosystem, one that supports work across the full experimental pipeline. Rather than operating as a one-time intervention, it provides a structured environment where research can evolve continuously.

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This includes:

• Hardware
  Enabling work with research-grade acquisition systems, including multimodal setups.
• Proprietary Datasets
  Supporting the development and use of richer, more consistent biosignal datasets across studies.
• Algorithmic Paradigms
  Providing integrated pipelines for preprocessing, modeling, and evaluation.

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The fellowship brings these elements together into an active research collaboration.It is designed for researchers who are already engaged in biosignal work, who have identified a direction, initiated experiments, and are looking to take that work further. Fellows are embedded within an R&D environment where infrastructure, iteration, and guidance are aligned with the needs of the study.

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Fellowship offerings

Fellows gain access to a set of integrated resources that support research from experimentation to dissemination:

• Research-grade biosignal hardware
  Including EEG, EMG, ECG, and multimodal setups for continuous data collection.
• Scientific mentorship and structured feedback
  Offering ongoing input on study signal quality, and analytical approaches.
• Publication support
  Extending into writing, positioning, and submission to relevant venues.
• ‍A network of researchers and collaborators
  Facilitating shared datasets, broader participant access, and cross-domain insights.

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If you’re at a stage where your research needs better systems, consistent data, and the ability to run deeper experiments, this program is built for you.

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Apply to the Anthriq Fellowship Program ->

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