Research Scientist

IBM

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Work type
On-site
Location
Chicago, IL
Posted
9 days ago

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Similar $171k
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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 743 open roles on FindRole.

Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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At a glance

TL;DR · Research Scientist

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IBM Research is hiring a senior research scientist to lead the development of cutting-edge quantum algorithms for simulation and machine learning. This role involves creating hybrid workflows that integrate classical and quantum resources, developing novel methods for simulating physical systems, and advancing quantum machine learning techniques on real-world applications in physics, chemistry, and materials science. The ideal candidate will have a strong background in quantum computing, experience with Qiskit, and proficiency in Python along with scientific libraries such as NumPy and SciPy. Additionally, familiarity with tensor-network methods like DMRG and iterative ground-state solvers is essential for tackling complex many-body systems. This position requires a robust publication history and proven success in collaborative research projects within both academic and industrial settings.

Skills

Python Qiskit TensorNetwork MPS MPO DMRG Lanczos Davidson Git Github CI/CD QuantumSimulation QuantumMachineLearning HybridWorkflows MLFrameworks PostgreSQL Redis Kubernetes JupyterNotebooks

What you'll do

  • Develop novel quantum algorithms for simulating physical systems using both quantum and classical resources.
  • Create hybrid workflows that integrate measurement data from quantum experiments with classical ML to predict system properties.
  • Improve and innovate quantum machine learning methods by combining quantum and classical approaches for various datasets.
  • Establish theory and benchmarks comparing quantum and classical models in learning tasks.
  • Expand the quantum ecosystem through collaborations and working groups within ML and quantum communities.

What we're looking for

  • PhD in quantum computing, quantum algorithms, machine learning, computer science, statistics, or information theory.
  • Expertise in developing and analyzing quantum algorithms for physical system simulation.
  • Proficiency in quantum machine learning and hybrid quantum-classical learning workflows.
  • Strong programming skills in Python, Qiskit, and ML frameworks.
  • Experience running demonstrations on real quantum processors.
  • Publication record in high-impact journals or top conference proceedings.

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