Remote Convection Stability Physicist

Mercor seeks researchers for high-level convection stability work. The role focuses on publishing and solving research-grade physics problems, with written reasoning integral to each assignment.You may create or review problems across Rayleigh-Benard and porous-media convection, using LaTeX, Python, and Jupyter to present clear, reproducible results. Expect...

Mercor seeks researchers in fluid mechanics to work on high-level physics problems, focusing on convection stability in Rayleigh–Benard and porous media systems. Candidates should have published work in the field and be proficient in LaTeX, Python, and Jupyter.The role is remote, part-time (10 hours/week) over 8–10 weeks, with compensation of $80–$110...

Obsidian is seeking a PhD-level researcher to work on publication-quality, research-grade physics problems related to convection stability. You will match to subareas, produce rigorous reasoning, and review others’ work in a remote, asynchronous setting.You should have a track record in convection stability, be proficient in LaTeX, Python and Jupyter, and...

Obsidian is seeking a PhD-level researcher to work on publication-quality, research-grade physics problems related to convection stability. You will match to subareas, produce rigorous reasoning, and review others’ work in a remote, asynchronous setting.You should have a track record in convection stability, be proficient in LaTeX, Python and Jupyter, and...

About the work CritPt is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is arXiv:2509.26574 and we recommend reading it before applying. It will tell you quickly whether this work interests you. We are...

About the work CritPt is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is arXiv:2509.26574 and we recommend reading it before applying. It will tell you quickly whether this work interests you. We are...

About the work CritPt is a public benchmark of research-level physics challenges, built to test whether frontier AI models can carry out genuine physics research reasoning rather than textbook problem solving. The benchmark paper is arXiv:2509.26574 and we recommend reading it before applying. It will tell you quickly whether this work interests you. We are...