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WAE - Quantum Algorithms Researcher

Louisiana State University
Location
3207 Patrick F. Taylor Hall
Workplace
Employment
Salary
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Posted 1mo ago

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Job Posting Title

WAE - Quantum Algorithms Researcher

Position Type

Wages as Earned (Fixed Term)

Department

LSUAM Engineering - Petroleum - Integrated Petroleum Engineering and Analytics Research (Jyotsna Sharma (00057933))

Work Location

3207 Patrick F. Taylor Hall

Pay Grade

Temporary

Job Description

The Petroleum Engineering department at Louisiana State University is seeking a motivated researcher or engineer to develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. The project may also involve signal processing, machine learning, or other computational techniques. The exact project scope may be refined based on program needs and the candidate’s expertise.

100% Develop, test, and apply quantum computing workflow or quantum-inspired approaches to analyze datasets from sensing systems or energy-industry-relevant problems. Contribute to publishable research outcomes, with deliverables including technical documentation, presentations, and a journal manuscript or conference paper based on the project results.

Minimum Qualifications

Bachelors degree in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Strong programming experience in Python and familiarity with machine learning.

Preferred Qualifications

Ph.D. in computer science, electrical engineering, physics, applied mathematics, or closely related field.

Experience with quantum algorithms, quantum computing, quantum annealing, variational quantum circuits, quantum machine learning, or quantum-inspired optimization.

Experience with quantum software frameworks such as Qiskit, PennyLane, Cirq, D-Wave Ocean, TensorFlow Quantum, or similar tools.

Pay will be commensurate with education and experience. Sponsorship is not available for this position.

Additional Job Description

Special Instructions

For questions regarding this position, please contact the hiring manager, Dr. Jyotsna Sharma, at jsharma@lsu.edu.

Skills Needed

Preferred Skills

Posting Date

August 7, 2026

Closing Date (Open Until Filled if No Date Specified)

December 7, 2026

Additional Position Information

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N)

LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.

HCM Contact Information

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

Skills

  • Machine Learning
  • Python
  • TensorFlow

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