Job Description

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.

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