Job Description

About the Role:
We are seeking a PhD/Postdoctoral Researcher in Quantum Physics, Quantum Mathematics, or related fields to lead the design and validation of cutting-edge educational courses in Quantum Technology. The candidate will play a pivotal role in ensuring that course content is not only scientifically rigorous but also industry-relevant, bridging fundamental quantum science with real-world applications in computational chemistry, drug discovery, material science, and finance.

Key Responsibilities:Curriculum Development & Validation Design end-to-end course structures spanning foundational to advanced levels in quantum technology. Validate course content developed by content writers, ensuring academic accuracy and conceptual clarity. Map learning outcomes, progression pathways, and prerequisites for each module. Foundational Modules

Develop and validate fundamentals of: Mathematics: Linear algebra, probability, complex numbers, tensor calculus, group theory. Physics: Quantum mechanics principles (superposition, entanglement, measurement, operators, Hamiltonians). Chemistry: Electronic structure theory, molecular orbitals, reaction dynamics relevant to quantum simulations.
Core Quantum Technology Modules Quantum computing fundamentals: Qubits, gates, circuits, error correction. Quantum algorithms: VQE, QAOA, Grover's, Shor's, quantum simulation methods. Quantum machine learning and hybrid quantum-classical workflows. Quantum hardware overview (superconducting qubits, trapped ions, photonic platforms). Application-Oriented Modules Computational Chemistry & Drug Discovery Quantum simulations of molecules and reaction pathways. Protein-ligand docking and binding affinity prediction. Material Science Designing new energy storage materials (batteries, catalysts, superconductors). Quantum-enhanced material property prediction. Finance Portfolio optimization using quantum algorithms. Quantum Monte Carlo simulations for risk analysis and option pricing. Capstone & Use Case Integration Design case-study-driven modules showing enterprise applications. Develop hands-on project ideas linking quantum theory to real-world impact. Ensure industry relevance by aligning content with latest research and technology trends.


Requirements:PhD or Postdoctoral experience in Quantum Physics, Quantum Mathematics, Quantum Computing, or closely related fields. Proven research background with peer-reviewed publications in quantum science or related domains. Strong ability to translate theoretical concepts into structured, teachable content. Familiarity with computational chemistry, materials modeling, or quantum finance applications is highly desirable. Experience with quantum programming frameworks (Qiskit, Pennylane, Cirq, PySCF, etc.). Excellent communication and academic writing skills.


Preferred SkillsExperience in curriculum design or teaching (university or MOOCs). Knowledge of multidisciplinary integration across physics, chemistry, and applied mathematics. Strong understanding of enterprise adoption of quantum technology in pharma, materials, and finance. Ability to mentor junior researchers, content writers, or course developers.


Impact of the Role
This role ensures that all courses designed by the organization are scientifically validated, globally competitive, and enterprise-relevant. The candidate will serve as the intellectual backbone of our quantum education initiatives, guaranteeing rigor, credibility, and innovation in quantum learning solutions.