Quantum Algorithm Research Student in Toronto

Quantum Algorithm Research Student in Toronto

Toronto Full-Time On-site
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Apply quantum algorithms and machine learning at CIBC in Toronto, with work arrangements discussed during the interview. Build solutions for complex computational problems.

The Advanced Analytics and AI team applies predictive science, machine learning, and artificial intelligence across CIBC. As a student on the Applied Research team, you will work across the research life cycle, from academic partnerships to production systems. You will collaborate with product, technology, and business partners.

Key Responsibilities:

  • Evaluate innovative quantum algorithms for complex computational problems
  • Implement quantum or quantum inspired algorithms
  • Apply quantum optimization and machine learning techniques
  • Test approaches involving graph theory and computational complexity
  • Support quantum solution development and deployment

Requirements:

  • Pursuing Quantum Information, Computer Science, Mathematics, or related degree
  • Understanding of quantum computing concepts and artificial intelligence advances
  • Proficiency in Python, Qiskit, and PennyLane
  • Strong presentation, writing, and communication skills
  • Currently enrolled and returning to full time studies

Develop quantum research expertise through algorithm implementation, testing, and collaboration with CIBC's Applied Research team.

Quantum Algorithm Research Student in Toronto employer: CIBC

CIBC is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of Toronto. As an Equity Research Associate intern, you will gain invaluable insights and hands-on experience in global markets while working alongside industry experts, all within a supportive environment that prioritizes employee growth and development. With competitive compensation and a commitment to nurturing talent, CIBC stands out as a rewarding place for aspiring finance professionals.

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Contact Details:

CIBC Recruitment Team