Experimental Scientist / Engineer – Superconductors

Mercor is seeking experimental scientists and engineers specialising in superconductors to support a frontier AI research lab building advanced models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialised knowledge of superconducting materials, synthesis, characterisation, transport measurements, thin films, and superconducting devices to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about superconducting materials, properties, experiments, and devices.

Key Responsibilities:

• Contribute deep domain expertise across superconducting material synthesis, characterisation, experimental superconductivity, fabrication, and device physics to build high-quality training and evaluation data.
• Review and evaluate AI-generated scientific reasoning related to superconducting materials and phenomena, identifying experimental or theoretical errors and improving technical accuracy.
• Design and solve challenging, expert-level problems involving critical temperature (Tc), critical current density (Jc), critical magnetic fields, magnetic susceptibility, electrical transport, flux pinning, vortex behaviour, and structure–property relationships.
• Analyse and reason about experimental results from techniques such as XRD, SEM/TEM, SQUID/VSM magnetometry, resistivity and magnetotransport measurements, spectroscopy, and cryogenic measurements.
• Rate and rank model outputs against defined scientific criteria, providing clear written reasoning grounded in experimental superconductivity.
• Structure technical knowledge — including synthesis procedures, processing parameters, phase and structural data, transport measurements, magnetic measurements, and device data — into well-organised, model-ready data.
• Deliver reliable, technically rigorous, high-quality work within defined timelines.

You're a strong fit if you have:

• Hands-on experimental experience with one or more classes of superconducting materials, including cuprate/high-temperature superconductors, iron-based superconductors, conventional superconductors, MgB₂, REBCO/YBCO systems, or emerging superconducting materials.
• Experience with superconducting material synthesis or processing, such as solid-state synthesis, single-crystal growth, powder processing, thin-film deposition, or related techniques.
• Strong experience characterising superconducting properties through electrical resistivity/transport, magnetotransport, magnetic susceptibility, SQUID/VSM magnetometry, critical current measurements, critical field measurements, or cryogenic experiments.
• Strong understanding of superconducting phenomena, including Tc, Jc, critical magnetic fields, Meissner effect, flux pinning, vortex dynamics, and the relationship between material structure and superconducting performance.
• Experience with superconducting thin films, heterostructures, or device fabrication using techniques such as PLD, MBE/epitaxy, sputtering, lithography, etching, or clean-room micro/nanofabrication — a plus.
• Experience with applied superconductors or superconducting devices, such as superconducting wires and tapes, coated conductors, Josephson junctions, SQUIDs, superconducting circuits, resonators, detectors, or superconducting quantum devices — a plus.
• An advanced degree (PhD/MS) or equivalent hands-on research experience in materials science, condensed matter physics, applied physics, chemistry, electrical engineering, or a closely related field.
• Clear written English and the ability to explain complex experimental results and technical reasoning concisely.

Why Join:

• Shape frontier AI for superconductivity: Apply your expertise to improve how advanced AI models reason about superconducting materials, experiments, properties, and devices.
• Work on technically challenging problems: Engage with expert-level questions spanning superconducting synthesis, characterisation, transport, cryogenic measurements, thin films, and device physics.
• Translate experimental expertise into AI capability: Your hands-on research experience will directly contribute to creating scientifically rigorous training and evaluation data for next-generation models.
• Long-term research opportunity: Contribute to an ongoing collaboration at the intersection of superconductivity, materials science, and frontier AI research.