Research Scientist

Job Description

Job Title: Research Scientist. Location: Chicago, Illinois, USA

Responsibilities:

  • Develop novel hybrid quantum-classical algorithms for simulating physical systems, including:
    • Ground states
    • Thermal states
    • Time evolution
    • Open-system models
  • Demonstrate quantum algorithms for real-world applications in physics, chemistry, and materials science.
  • Design and improve quantum machine learning (QML) algorithms for classical and quantum datasets.
  • Develop hybrid workflows that combine quantum measurement data with classical machine learning models.
  • Conduct research on learning theory for quantum machine learning, including:
    • Generalization bounds
    • Complexity analysis
    • Performance comparisons between quantum and classical learning methods
  • Implement and evaluate research software using modern machine learning frameworks and Qiskit.
  • Execute demonstrations on quantum processors;
  • Collaborate with researchers across quantum computing, machine learning, and related scientific communities.
  • Participate in research collaborations, working groups, and technical discussions.
  • Contribute to expanding IBM's quantum computing ecosystem through innovative research.

Qualifications:

  • Ph.D. in Quantum Computing, Quantum Algorithms, Machine Learning, Computer Science, Statistics, Information Theory, or a related field.
  • Experience developing or analyzing quantum algorithms for quantum simulation.
  • Experience with quantum machine learning and hybrid quantum-classical workflows;
  • Experience implementing research software using machine learning frameworks and Qiskit.
  • Experience running experiments on quantum processors.
  • Strong analytical, research, communication, and collaboration skills.

Preferred:

  • Strong publication record in leading journals or top-tier conferences.
  • Programming experience with:
    • Python
    • NumPy
    • SciPy
    • Matplotlib
    • Qiskit
  • Experience with tensor-network methods such as MPS, MPO, and DMRG.
  • Experience with iterative ground-state solvers including Lanczos and Davidson algorithms.
  • Familiarity with Git and GitHub;
  • Demonstrated success leading research projects in academia or industry.
  • Proven ability to collaborate across multidisciplinary research teams.

Benefits and Compensation:

Salary

  • $150,000 to $188,000 per year.

Benefits

  • Comprehensive medical, prescription, dental, vision, and mental health coverage.
  • Financial benefits including:
    • 401(k)
    • Cash balance pension plan
    • Employee Stock Purchase Plan
    • Financial counseling
    • Life insurance
    • Short-term and long-term disability coverage
    • Performance-based incentive programs
  • Paid time off including:
    • 12 company holidays
    • Minimum 56 hours of sick leave
    • 120 hours of vacation
    • Parental bonding leave
    • Paid family leave where applicable
  • AI-powered learning platform with training resources and professional certifications.
  • Employee resource groups, volunteer opportunities, and employee discounts.

Other Information:

  • Work Arrangement: On-site
  • Employment Type: Regular, Full-Time
  • Travel Required: None
  • Area of Work: Research
  • Shift: General (Daytime)
  • Position focuses on advancing practical quantum computing through research in quantum algorithms, quantum simulation, and quantum machine learning.
  • IBM encourages collaboration across quantum computing, artificial intelligence, high-performance computing, and cloud technologies;
  • IBM is an Equal Opportunity Employer and considers qualified applicants without regard to race, religion, gender, disability, veteran status, age, sexual orientation, or other protected characteristics.
  • Qualified applicants with criminal histories will be considered in accordance with applicable laws.

JOB TYPE

Full-time

COMPENSATION

$150k - $188k

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