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Research Scientist in Physics

On-site Full-time

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Experience Level

Experience

Qualifications

Candidates should possess a PhD in Physics or related fields, with a strong foundation in programming and experience in computational physics. A proven track record of tackling challenging physics problems and the ability to thrive in fast-paced research environments are essential.

About the job

Research Scientist in Physics

About Us

Physical Superintelligence is a pioneering startup with prestigious roots at Harvard, MIT, Johns Hopkins, Oxford, the Institute for Advanced Study, and the Perimeter Institute. We are on a mission to build AI systems that uncover new physics breakthroughs at scale. We invite talented physicists to join our team in crafting evaluation frameworks and verification systems that facilitate AI-driven discoveries in physics.

Key Responsibilities

Transform cutting-edge physics challenges into machine-verifiable tasks that AI systems can systematically navigate. This role entails writing production-level code, collaborating with AI researchers and engineers, and delivering operational systems that foster large-scale physics discovery.

- Design evaluation frameworks across diverse physics domains, including atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, and statistical mechanics.

- Create verification harnesses that encode principles of physical validity, conservation laws, and experimental integrity to differentiate authentic physics insights from numerical artifacts.

- Integrate advanced physics simulations into AI environments and establish benchmarks that assess genuine physics reasoning.

- Collaborate with AI researchers to refine agent architecture and training methodologies, while developing production code that underpins extensive discovery workflows.

Qualifications

We are looking for candidates with a PhD in Physics or a related discipline, possessing in-depth knowledge in at least one significant area of physics and proficient programming skills. Ideal candidates should demonstrate a history of addressing complex, unresolved problems and excel in dynamic research settings.

Areas of Expertise:

- Profound knowledge in atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, statistical mechanics, or equivalent physics disciplines.

- Solid understanding of physical validity, conservation laws, and experimental limitations.

Programming and Computational Skills:

- Proficient in Python and C++, with experience in computational physics simulations and high-performance computing.

- Hands-on experience with simulation tools such as VASP, Quantum ESPRESSO, LAMMPS, GROMACS, OpenFOAM, COMSOL, or similar platforms.

About Physical Superintelligence

Physical Superintelligence is at the forefront of AI-driven physics research, leveraging collaborations from top-tier institutions to revolutionize the discovery process in physics.

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