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Europe, Ireland, Mullins

Posted 15 days ago

Senior Researcher in Computational Materials Development

🏢 Irish Manufacturing Research

EUR 50K - 54K per year

+2 benefits
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Role Type

🧪 Scientist / Researcher

Role Focus

📈 Apply Quantum

Seniority

🌿 Experienced
🌸 PhD / Postdoc

Employer Type

🏢 Industry

This role seeks a Senior Researcher to advance quantum computing applications in materials science by focusing on critical industrial challenges involving advanced alloy systems. The researcher will use atomistic and mesoscale simulation methods to create high-fidelity benchmark cases. They must collaborate with quantum experts to analyze these simulations, identify computational issues, and adapt the problems into formats suitable for quantum computation. The position also supports the wider Additive Manufacturing team with material challenges across various industrial sectors.

Key Responsibilities

Develop and validate benchmark simulations of complex metallic alloys using advanced computational methods like DFT, MD, or phase-field modelling.

Analyze the mathematical and computational structure of classical materials simulation algorithms to identify core equations and computational bottlenecks.

Collaborate with quantum computing specialists to translate materials modelling problems into quantum-suitable mathematical frameworks.

Evaluate existing quantum algorithms, such as VQE or Hamiltonian simulation, for their direct applicability to materials science problems.

Design and execute comparative studies to assess the accuracy, performance, and scalability between classical and quantum computational methods.

Conduct research on alloy composition, microstructure, and properties to develop new materials or improve existing ones.

Required Skills

MSc or PhD in Mechanical Engineering, Materials Science, or a related field.

Strong knowledge of metal alloy systems, phase diagrams, and microstructure-property relationships.

Hands-on experience with alloy development and characterization techniques.

Proficiency in data analysis and interpretation of experimental results.

Experience with computational materials science tools (Thermocalc, Abaqus).

Experience in the characterisation of metallurgical samples, including mechanical testing and micrography.

Strong communication and problem-solving skills.

Nice-to-have Skills

Familiarity with Metal Additive Manufacturing.

Technology Tags

Materials science

The entire research focus of the role is computational materials development concerning advanced alloy systems.

Variational Quantum Eigensolver

The candidate is required to evaluate existing quantum algorithms, explicitly including VQE, for applicability to materials science problems.

Hybrid Systems

The candidate must contribute to the development of new quantum-inspired or hybrid algorithms where classical and quantum approaches are integrated.

Benchmarking

A primary task is designing and executing comparative studies to assess the accuracy, performance, and scalability of classical versus quantum methods.

Process simulation

The role requires developing and validating benchmark simulations of metallic alloys using classical methods like DFT, MD, and phase-field modelling.

Solid-State Physics

The required knowledge of metal alloy systems, phase diagrams, and microstructure-property relationships falls under the domain of solid-state physics.

High-Performance Computing

The role includes analyzing computational structure and scaling limits of complex classical simulation algorithms, implying expertise relevant to HPC environments.

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