Graduate Summer Intern – Quantum Reservoir Computing
National Laboratory of the Rockies, Golden, CO, United States
Graduate Summer Intern – Quantum Reservoir Computing
The AI, Learning, and Intelligent Systems (ALIS) Group in the NLR Computational Science Center (CSC) has an opening for a graduate student researcher in Quantum Reservoir Computing (QRC), with special emphasis on applications to power systems modeling, simulation, and control. The researcher will assist in developing quantum reservoir computing algorithms and work using them to model power systems data from, in particular, NLR’s ARIES platform, to explore the limits of quantum reservoir computing and enable novel modalities to address pressing applied problems.
Responsibilities Include
Assist in developing quantum reservoir computing algorithms.
Assess the capabilities and opportunities of quantum reservoir computing and their alignment with relevant power systems analysis challenges.
Implement quantum reservoir circuits and algorithms in quantum emulators on NREL HPC resources.
Use these to model ARIES related data and devices and analyze and predict properties of advanced power systems.
Collaborate with CSC and ARIES staff to formulate and carry out QRC-based power systems studies.
Author, present and assist in the preparation of technical papers, reports and conference proceedings on topics related to the theory and application of QRC.
Basic Qualifications
Minimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.
Additional Required Qualifications
Excellent written and verbal communication skills.
Experience with both theory and practice of reservoir computing.
Knowledge of quantum computing.
Experience programming quantum circuits and algorithms in qiskit, cirq, and/or CUDA-Q.
Preferred Qualifications
Experience with power systems, the technical challenges we face due to a changing grid, and their modeling and analysis.
Deep knowledge of the theory of reservoir computing.
Understanding of quantum computing at level necessary to distinguish real from imagined potential for quantum advantage.
Experience with classical neural network architecture and training.
Annual Salary Range
Job Profile: / Annual Salary Range: $44,500 - $71,200
Benefits Summary
Medical, dental, and vision insurance.
403(b) Employee Savings Plan with employer match.
Sick leave (where required by law).
Eligibility for performance-, merit-, and achievement-based awards that include a monetary component.
Some positions may be eligible for relocation expense reimbursement.
Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations
Requests for reasonable accommodations in the application process and employment will be considered in accordance with applicable laws.
E-Verify
For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
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The AI, Learning, and Intelligent Systems (ALIS) Group in the NLR Computational Science Center (CSC) has an opening for a graduate student researcher in Quantum Reservoir Computing (QRC), with special emphasis on applications to power systems modeling, simulation, and control. The researcher will assist in developing quantum reservoir computing algorithms and work using them to model power systems data from, in particular, NLR’s ARIES platform, to explore the limits of quantum reservoir computing and enable novel modalities to address pressing applied problems.
Responsibilities Include
Assist in developing quantum reservoir computing algorithms.
Assess the capabilities and opportunities of quantum reservoir computing and their alignment with relevant power systems analysis challenges.
Implement quantum reservoir circuits and algorithms in quantum emulators on NREL HPC resources.
Use these to model ARIES related data and devices and analyze and predict properties of advanced power systems.
Collaborate with CSC and ARIES staff to formulate and carry out QRC-based power systems studies.
Author, present and assist in the preparation of technical papers, reports and conference proceedings on topics related to the theory and application of QRC.
Basic Qualifications
Minimum of a 3.0 cumulative grade point average.
Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year.
Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.
Additional Required Qualifications
Excellent written and verbal communication skills.
Experience with both theory and practice of reservoir computing.
Knowledge of quantum computing.
Experience programming quantum circuits and algorithms in qiskit, cirq, and/or CUDA-Q.
Preferred Qualifications
Experience with power systems, the technical challenges we face due to a changing grid, and their modeling and analysis.
Deep knowledge of the theory of reservoir computing.
Understanding of quantum computing at level necessary to distinguish real from imagined potential for quantum advantage.
Experience with classical neural network architecture and training.
Annual Salary Range
Job Profile: / Annual Salary Range: $44,500 - $71,200
Benefits Summary
Medical, dental, and vision insurance.
403(b) Employee Savings Plan with employer match.
Sick leave (where required by law).
Eligibility for performance-, merit-, and achievement-based awards that include a monetary component.
Some positions may be eligible for relocation expense reimbursement.
Internships projected to be less than 20 hours per week are not eligible for medical, dental, or vision benefits.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Reasonable Accommodations
Requests for reasonable accommodations in the application process and employment will be considered in accordance with applicable laws.
E-Verify
For information about right to work, click here for English or here for Spanish. E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
#J-18808-Ljbffr