Quantum AI Scientist – Accelerated Materials Discovery

University of Toronto; Toronto; On-site; CAD 56,000 - 104,000; Full time

Job summary

The University of Toronto invites applications for a Staff Research Scientist position focused on Quantum for AI-accelerated materials discovery. You will advance quantum algorithms to enable rapid discovery of materials and molecules, collaborating with AI, automation, and software engineering teams and reporting to AC leadership.

This role emphasizes independence and cross-disciplinary collaboration. Requirements include a PhD in a quantitative field, strong quantum algorithm experience, and

Qualifications

• PhD in a quantitative field with a strong publication record.
• Experience developing or analyzing quantum algorithms for materials discovery.
• Ability to collaborate across chemistry, physics, and ML teams.

Responsibilities

• Develop quantum algorithm tools and integrate AI surrogates for materials predictions.
• Collaborate with experimental chemists and ML researchers to validate results.
• Lead software packages connecting quantum backends to chemistry pipelines.

Skills

QML

Q Algorithms

Software Engineering

Hybrid Workflows

Cross-Functional Collaboration

Education

PhD in Physics, Chemistry, Materials Science, CS, Quantum Information

Tools

Qiskit

Python

Git

ML frameworks

Job description

The University of Toronto invites applications for a Staff Research Scientist position focused on Quantum for AI-accelerated materials discovery. You will advance quantum algorithms to enable rapid discovery of materials and molecules, collaborating with AI, automation, and software engineering teams and reporting to AC leadership.

This role emphasizes independence and cross-disciplinary collaboration. Requirements include a PhD in a quantitative field, strong quantum algorithm experience, and