PhD Residency - AI and Cybersecurity

Ready to join the AQ era?

SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.

Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.

We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.

Residencies at SandboxAQ

If you’re a graduate student in STEM ready to bring the new AI + Quantum era to the world, consider joining our residency program at SandboxAQ.

We are currently looking for students in a wide variety of STEM fields — physics, computer science, AI, neuroscience, chemistry, cryptography, mathematics/statistics, biomedical engineering, aerospace engineering, geophysics, and more — to join our world-class team of engineers, scientists and technologists.

Machine Learning meets Cybersecurity

Our ML team in Quantum Security is focused on bringing cutting-edge techniques from multiple disciplines to bear on high-impact problems. We engage in deep research while maintaining close contact with the needs of the customers. As a resident, you will take ownership of a project to advance the way ML is used in the quantum security world.

We are looking for an AI Resident with strong interest in cybersecurity and its applications to large-scale data. Experience with post-quantum cryptography and cryptographic protocols will be considered a plus.

The successful candidate will be part of a diverse team consisting of cryptographers, mathematicians, ML experts, and physicists, and will play a key role in efficient and effective enablement of the technologies being developed.

Core Responsibilities

• Research and design ML algorithms with focus on cybersecurity applications
• Work closely with engineers to integrate research outcomes into the product portfolio
• Analyze large-scale security data incl. network traces, filesystems, and logs / event data

Minimum Qualifications

• Experience with rapid prototyping to deploy ML models in Python
• Familiarity with common ML tools (TensorFlow, Keras, PyTorch, etc.)
• Familiarity with the latest developments in machine learning & privacy

Preferred Qualifications

• Previous experience as software engineer in the industry
• Exposure to applied ML in the Cybersecurity / Networking domains
• Experience contributing to open source projects
• Familiarity with unsupervised learning methods

Details

• Location: Remote
• Start date: Year-round, on a rolling basis
• Duration: Flexible, typically between 4 months to one year
• Eligibility:
  • Currently enrolled in a PhD program in math, computer science, or related field.
    • **Currently enrolled non-PhD post-graduate students may be considered on a case-by-case basis (e.g. currently enrolled in Masters)
  • Proficiency with at least one programming language (Python, C/C++, Matlab, etc.)
• For questions, email [email protected]

What to Expect

• Work on a technical project with scientists and engineers on one of our core teams
• Engagement with fellow residents
• Competitive compensation
• Present findings to the rest of SandboxAQ
• Have fun!

SandboxAQ welcomes all.