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Quantum Sensing Data Science Jobs (NOW HIRING)

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Quantum Sensing Data Science information

What is quantum sensing data science?

Quantum sensing data science is the field that combines quantum sensing technology with data science methods to analyze and interpret data collected from quantum sensors. Quantum sensors leverage principles of quantum mechanics, such as superposition and entanglement, to achieve extremely high precision measurements in areas like magnetic fields, gravity, or time. Data scientists in this field develop algorithms and models to extract meaningful information from complex quantum-generated data, enabling advancements in scientific research, medical imaging, navigation, and more. By integrating quantum sensing with advanced analytics, this interdisciplinary field pushes the boundaries of measurement accuracy and data interpretation.

What are the key skills and qualifications needed to thrive as a quantum sensing data science professional?

To thrive in Quantum Sensing Data Science, you need a strong background in physics, mathematics, and data analysis, often supported by an advanced degree in physics, engineering, or data science. Familiarity with quantum measurement systems, programming languages like Python, and data processing frameworks is typically required, along with experience using specialized tools such as MATLAB or LabVIEW. Strong problem-solving ability, attention to detail, and collaboration skills help professionals excel in interdisciplinary environments. These skills are vital for accurately interpreting complex data and driving innovation in cutting-edge quantum sensing applications.

What are some unique challenges faced by data scientists working in quantum sensing, and how can they be addressed?

Data scientists in quantum sensing often encounter challenges related to handling highly complex and noisy datasets generated by sensitive quantum devices. Unlike traditional data science roles, the data may require specialized preprocessing and noise reduction techniques to extract meaningful insights. Collaboration with physicists and engineers is essential to understand the context of the data and the limitations of the sensing hardware. Staying updated with advancements in quantum algorithms and statistical methods can help address these challenges and enhance analysis accuracy.

What are popular job titles related to Quantum Sensing Data Science jobs?

For Quantum Sensing Data Science jobs, the most frequently searched job titles are:

Postdoctoral Appointee-Magnon Dark-Matter quantum detection

Springfield, IL โ€ข Hybrid

Argonne National Laboratory
Scientific Research and Development Servicesย โ€ขย 1 - 5K employees

$72K - $121K/yr

Full-time

Posted 13 days ago


Job description

Lemont, IL USA

On-site

Full time

422684

The Materials Science Division at Argonne National Laboratory invites applications for a postdoctoral appointment focusing on the project of axion dark matter detection with magnon quantum sensing. The successful candidate will be a key member of a multidisciplinary research team between Materials Science Division and High Energy Physics Division at Argonne National Laboratory and work closely with University of Notre Dame to develop novel on-chip superconducting quantum detectors with magnetic targets for low-energy axion dark matter detection.

Key Responsibilities:

  • Develop superconducting hybrid circuits that couple to both macroscopic magnetic crystals as magnon target mass and solid-state single-electron qubit with magnetic field compatibility.
  • Develop superconducting hybrid circuits that couple to large single-crystal YIG spheres for optimizing magnon target mass and improving axion detector sensitivity.
  • Develop detector sensing demonstration experiments for measuring the quantum efficiency and dark count rates of magnon quantum detectors.
  • Develop novel quantum-limit devices based on high superconducting kinetic inductance with magnetic field tolerance, such as parametric amplifiers and qubits, for on-chip magnon quantum sensing

Position Requirements

  • Superconducting resonator design, simulation and nanofabrication.
  • Microwave circuit design and characterization, including vector network analyzer, spectrum analyzer, or FPGA-based data acquisition.
  • Cryogenic measurements and equipment maintenance, preferably dilution refrigerator.
  • Knowledge about low-noise microwave characterization, including use of noise isolation components (circulator, isolator, attenuators, thermal anchoring, grounding).
  • Hand-in knowledge of designing and making sample holders and components for building new electronic experiments.

Experience :

  • Ph.D degree in the field of Condensed Matter Physics, experimental High Energy Physics, Quantum Information Science, or a closely related discipline.
  • Demonstrated experience in quantum sensing, quantum information science, superconducting circuit, or magnonics.
  • Proficiency in scientific software development (e.g., Python, COMSOL, HFSS or similar languages).
  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time

The expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

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