AI-Driven Quantum Design Scientist

Massachusetts Institute of Technology

Cambridge (MA)

On-site

USD 110,000 - 150,000

Full time

14 days+

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Job summary

Massachusetts Institute of Technology's Research Laboratory of Electronics is seeking a Research Scientist 1 to contribute to machine-learning-assisted design and AI-driven optimization of quantum systems. The role involves theoretical and computational analysis, presenting findings at lab meetings and conferences, and preparing progress reports for sponsors.

The successful candidate will mentor graduate students and postdocs, collaborate with the PI and team, and advance methods across physics,

Qualifications

  • PhD in Physics or closely related field is required.
  • Minimum two years postdoc research experience.
  • Strong background in theoretical and computational physics.
  • Experience applying ML/AI methods to physical systems is a plus.

Responsibilities

  • Design, develop and execute research projects on ML-assisted design and AI-driven optimization of quantum systems.
  • Perform theoretical and computational analyses of quantum photonic/hardware systems; interpret and implement research methods.
  • Author and co-author results for peer-reviewed journals and conferences; present findings at lab meetings and seminars.
  • Prepare periodic progress reports on research projects for sponsors; may provide technical guidance to students and postdocs.

Skills

Machine learning
Numerical optimization
Theoretical physics
Computational physics

Education

Ph.D. in Physics

Job description

Massachusetts Institute of Technology's Research Laboratory of Electronics is seeking a Research Scientist 1 to contribute to machine-learning-assisted design and AI-driven optimization of quantum systems. The role involves theoretical and computational analysis, presenting findings at lab meetings and conferences, and preparing progress reports for sponsors.

The successful candidate will mentor graduate students and postdocs, collaborate with the PI and team, and advance methods across physics,

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