Quantum AI & Modelling Simulation Specialist
Guru Schools
Quantum AI & Modelling Simulation Specialist
Location: Remote
Department: AI / Quantum Computing / Modelling & Simulation
Employment Type: Contract / Full-Time
Job Summary
We are looking for an experienced and technically strong Quantum AI & Modelling & Simulation Specialist to support a NATO-focused project involving the development and assessment of Adaptive AI Simulation on Quantum (FAASQ) capabilities.
The ideal candidate should have experience in Quantum Computing, Artificial Intelligence, Machine Learning, Modelling & Simulation, Mathematical Modelling, Optimization, Computational Science, and Algorithm Development .
The candidate will contribute to research, technical analysis, Proofs of Concept (PoCs), comparative assessments, simulation methodologies, and future technology roadmaps focused on the potential application of quantum and AI technologies to complex Modelling & Simulation problems.
Key Responsibilities
- Analyze complex Modelling & Simulation (M&S) problems and identify opportunities for quantum, AI, or hybrid computational approaches.
- Research and evaluate emerging quantum computing and AI technologies applicable to simulation and computational problems.
- Develop mathematical and computational models for complex systems and scenarios.
- Identify computational bottlenecks involving optimization, sampling, uncertainty, inference, and large-scale scenario analysis.
- Develop and evaluate Proofs of Concept (PoCs) using quantum, AI, quantum-inspired, or hybrid approaches.
- Design and test quantum-enhanced and quantum-reformulated solutions.
- Compare quantum and hybrid approaches against conventional/classical computational methods.
- Evaluate algorithms based on:
- Performance
- Accuracy
- Scalability
- Runtime
- Robustness
- Reproducibility
- Solution quality
- Computational efficiency
- Support development of simulation architectures and workflows incorporating emerging technologies.
- Apply AI/ML techniques to simulation, optimization, data analysis, and computational problem-solving.
- Investigate mathematical formulations suitable for quantum algorithms and hybrid quantum-classical systems.
- Conduct research into optimization, uncertainty quantification, statistical modelling, and computational methods.
- Develop technical documentation, research reports, presentations, assessments, and recommendations.
- Assist in identifying technology gaps, implementation challenges, risks, and future opportunities.
- Develop taxonomies and frameworks for categorizing M&S problems based on complexity and potential technology applicability.
- Support development of future M&S capability requirements and technology roadmaps .
- Conduct literature reviews and technical research covering academia, industry, cloud computing, HPC, AI, and quantum ecosystems.
- Work with technical stakeholders to understand requirements and translate them into computational and simulation solutions.
- Support testing, validation, benchmarking, and documentation of technical solutions.
- Present complex technical concepts and findings to technical and non-technical stakeholders.
Required Technical Skills
- Strong knowledge of Quantum Computing and/or Artificial Intelligence .
- Experience with Modelling & Simulation (M&S) .
- Strong understanding of mathematical and computational modelling.
- Knowledge of:
- Quantum Algorithms
- Machine Learning / AI
- Optimization
- Numerical Methods
- Computational Mathematics
- Statistical Modelling
- Simulation
- Algorithm Development
- Data Analysis
- Uncertainty Quantification
- Understanding of classical and quantum computational approaches.
- Experience developing or evaluating technical Proofs of Concept.
- Ability to formulate complex technical problems mathematically.
- Experience comparing algorithms or emerging technologies against classical approaches.
- Strong analytical and problem-solving abilities.
- Strong technical research and documentation skills.
Quantum Computing Skills
Candidates with experience in one or more of the following are preferred:
- Quantum Algorithms
- Quantum Machine Learning
- Quantum Optimization
- Quantum Simulation
- Quantum Sampling
- Hybrid Quantum-Classical Computing
- Quantum Circuit Design
- Quantum Computing Platforms
- Quantum Simulators
- QAOA
- VQE
- Variational Algorithms
- Quantum Annealing
- Quantum-Inspired Optimization
AI / Machine Learning Skills
- Artificial Intelligence
- Machine Learning
- Generative AI
- AI-assisted mathematical modelling
- Data Science
- Predictive Modelling
- Optimization
- Pattern Recognition
- Decision Support
- AI-assisted simulation
- Model evaluation and validation
Modelling & Simulation Skills
- Modelling & Simulation lifecycle
- Conceptual modelling
- Simulation design
- Scenario development
- Experimentation
- Simulation analysis
- Verification & Validation (V&V)
- Performance benchmarking
- Uncertainty analysis
- System modelling
- Operational analysis
- Computational experimentation
Programming / Tools
Experience with one or more of the following is preferred:
- Python
- Qiskit
- PennyLane
- Cirq
- Q#
- MATLAB
- R
- C/C++
- TensorFlow
- PyTorch
- NumPy
- SciPy
- Jupyter
- HPC / Cloud Computing platforms
- Quantum cloud platforms
Educational Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Quantum Computing, Physics, Mathematics, Engineering, Data Science, Operations Research, or a related technical field .
- Advanced degree in Quantum Computing, AI, Mathematics, Physics, Computer Science, or Engineering is preferred.
Experience
- 3-5+ years of relevant experience in Quantum Computing, AI/ML, Modelling & Simulation, Computational Science, Data Science, Optimization, or a related technical field.
- Experience in at least one of the following areas is preferred:
- Quantum Computing
- Artificial Intelligence
- Machine Learning
- Modelling & Simulation
- Mathematical Modelling
- Optimization
- Computational Science
- Algorithm Development
- High-Performance Computing
- Experience developing technical Proofs of Concept or research prototypes.
- Experience working on complex technical or research-oriented projects.
- Experience with technical research, experimentation, benchmarking, and report preparation.
Preferred Qualifications
- Experience with quantum computing frameworks such as Qiskit, PennyLane, Cirq, or Q# .
- Experience developing quantum or hybrid quantum-classical algorithms.
- Experience with AI/ML applied to scientific or engineering problems.
- Experience with optimization and computational mathematics.
- Experience with HPC or cloud-based computational environments.
- Experience with Modelling & Simulation for defense, aerospace, military, security, or operational analysis.
- Experience with wargaming, scenario analysis, or decision-support systems.
- Experience with NATO, defense, government, research organizations, or international technology programs.
- Publications, research projects, patents, or academic work in quantum computing, AI, simulation, optimization, or related areas are a plus.
Soft Skills
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication.
- Ability to explain complex technical concepts clearly.
- Strong research and documentation abilities.
- Ability to work independently and collaboratively.
- Strong presentation and technical reporting skills.
- Ability to work in a multidisciplinary environment.
- Strong attention to detail.
- Ability to learn and evaluate emerging technologies quickly.
Work Arrangement
Remote
The position can be performed remotely from the contractor's facilities. International/NATO-related project experience is an advantage.
Ideal Candidate Profile
The ideal candidate does not necessarily need to be an expert in every area of quantum computing, AI, and M&S.
Candidates with strong experience in any one or more of the following backgrounds should be considered:
- Quantum Computing
- AI / Machine Learning
- Modelling & Simulation
- Mathematical Modelling
- Optimization
- Computational Science
- Data Science
- Operations Research
- High-Performance Computing
- Algorithm Development
Candidates who have a strong technical foundation and experience applying computational methods to complex problems are encouraged to apply.
Key Performance Areas
- Quality of technical research and analysis.
- Successful development of Proofs of Concept.
- Quality and accuracy of mathematical/computational models.
- Algorithm performance and benchmarking.
- Quality of technical reports and presentations.
- Identification of viable quantum/AI opportunities.
- Contribution to future M&S capability and technology roadmaps.
- Successful collaboration with technical stakeholders.
Vacancy posted 25 days ago
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