Seeking an Innovative “Data Scientist” for [Redacted] AI Cybersecurity University Project to Revolutionise Threat Detection

Are you ready to redefine cybersecurity with cutting-edge AI and data science? What if you could contribute to a groundbreaking solution that detects and prevents security threats within complex application environments?

We are seeking Data Scientists/AI Specialists to join an innovative university R&D startup with a mission to disrupt the cybersecurity industry.

This opportunity is more than a job—it’s a chance to be part of a high-impact project that’s transforming how we think about cybersecurity in the age of AI.

This project, backed by The PIPE gDAO, is entering the final stages of development and promises a unique career adventure.

With the full project details available only after NDA-signing via The PIPE Platform, what we can disclose now is that it’s all about leveraging AI/ML in cutting-edge cybersecurity for threat detection.

Your expertise will directly help protect critical application infrastructures worldwide.

How The Project is Being Supported:

• Funding: The startup is funded through The PIPE gDAO, using USDC Stablecoin from a global investor community focused on Real-World Assets (RWA), DeFi, and DeSci, bypassing traditional VC models. These investors are committed to solving real-world problems often overlooked by traditional venture capital.
• Vetting: The project is vetted by The PIPE Platform using NASA-grade Technology Readiness Levels (TRL) and their QED Process (Question, Evaluate, Decide), helping academic innovators with solid tech ideas but lacking business acumen to turn ideas into market-ready solutions.
• Recruitment: As a PIPE Associate, you’ll be part of a global network of experts contributing their skills in return for pre-IPO sweat equity and tokens—a unique opportunity to share in the success of this venture.

Key Responsibilities:

• Design and implement AI-driven models for cybersecurity threat detection and risk mitigation.
• Develop and optimise algorithms to detect unusual activity patterns across large data
  
• sets in real-time.
• Collaborate with cybersecurity and application infrastructure teams to improve system resilience and reduce false positives.
• Deploy and scale machine learning solutions that can adapt to rapidly evolving cybersecurity threats.

See Project’s Disclosure on PIPE gDAO Launchpad
https://launchpad.thepipegdao.io/project/cyber-security-threat-detection-in-application-activity

How to Apply?

• Click Apply for Job button above.
• Fill in the whole form.
• When you reach Join The Pan, toggle the dropdown to “Yes”.
• Write your skills.
• If you were referred by an Arubaito Partner, select their name from the dropdown.
• Complete the rest of form and press the Submit button at the bottom.
• The PIPE Company will contact you to confirm your details.