Arcadia Research

Arcadia Research's mission is to develop autonomous systems for inclusive global prosperity. We aim to create blockchain and AI technologies that are secure, transparent, and beneficial for our users and society at large. Our team is a diverse group of researchers, engineers, economists, and policy experts working together to build emancipatory systems that redefine global socioeconomics.

About the Role

In a world where digital and physical realms increasingly intertwine, the security of these interconnected systems is paramount to sustaining the infrastructures that society relies on. The Cybernetic Security team at Arcadia Research is pioneering the advanced security paradigms that will safeguard this emerging world. As a Research Scientist in Cybernetics, you will develop the protocols and architectures that ensure the trustworthiness and resilience of AI-enhanced, distributed systems. This role goes beyond traditional cybersecurity – it’s about protecting the integrity of the very systems that will drive human progress. Your work will contribute to a future where technology serves as a bridge to a more equitable world, ensuring that the benefits of advanced systems are shared securely and sustainably across all layers of society.

Responsibilities

• Design and model security architectures for cybernetic systems that integrate AI, distributed networks, and physical processes.
• Develop adaptive and resilient security mechanisms that protect complex, multi-agent systems in dynamic environments.
• Conduct simulations and real-world testing of security models in both digital and physical domains.
• Collaborate with engineers, economists, and governance experts to integrate secure, scalable processes across Arcadia’s platforms.
• Publish research findings and contribute to Arcadia’s leadership in cybernetics and security innovation.

Some of our team’s notable publications include:

• Quantum-Resistant Protocols for Cybernetic Networks: Securing the Future of Distributed Intelligent Systems
• AI-Driven Threat Detection in Socio-Technical Systems: Enhancing Resilience in Decentralized Economies
• Secure Human-Machine Interfaces in Augmented Intelligence: Bridging Trust in Human-AI Collaboration
• Resilient Process Flows in Decentralized Infrastructures: Optimizing Security and Efficiency for Global Equity

You may be a good fit if you:

• Have expertise in cybernetics, control theory, or decentralized security.
• Are experienced in developing security solutions for distributed AI and cyber-physical systems.
• Are passionate about building resilient security architectures that scale across digital and physical environments.
• Have a track record of publishing high-impact research in relevant fields.
• Enjoy interdisciplinary collaboration at the intersection of AI, security, and systems engineering.

Strong candidates may also:

• Have demonstrated interest in developing quantum-resistant cryptographic protocols for distributed systems.
• Be proficient in AI-driven threat detection and building resilient cybersecurity solutions for complex socio-technical environments.
• Demonstrate familiarity with designing secure interfaces for human-machine collaboration, particularly in augmented intelligence settings.
• Show expertise in optimizing decentralized process flows to enhance both security and efficiency across global infrastructures.

Candidates need not have:

• 100% of the skills listed to apply for this role.
• Formal certifications or degrees to be considered.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Expected Annual Salary: $150,000 - $300,000 USD