Physics Expert – AI Training

📋 Description

• Develop and address complex Physics problems to test the boundaries of large language models.

• Produce clear, high-quality, step-by-step solutions that demonstrate well-reasoned arguments.

• Work alongside LLM researchers to ensure problems align with evaluation objectives, focusing on areas where models encounter difficulties (e.g., abstraction, multi-step reasoning, symbolic manipulation).

• Assist in establishing new evaluation benchmarks based on Physics curricula that range from early undergraduate to PhD-level subjects.

⛳️ Requirements

• Master's degree, Ph.D., or candidates currently pursuing a Ph.D. in Physics, Applied Physics, or a related field.

• Proficient in at least three of the following tools: **QuTiP, OQuPy, QuSpin, TenPy, Strawberry Fields, openEMS, ngspice, Quantum ESPRESSO, OpenFOAM, FEniCS/FEniCSx (DOLFINx), WarpX, REBOUND, PYTHIA, Kwant, Elmer FEM, GF180MCU PDK, Sky130 PDK, FreeCAD, Project Chrono, Scilab Xcos, volare, emcee, Icarus Verilog, GTKWave, Verilator, gmsh, Elmer, pyarmadillo, and MeshLab.**

• Excellent research and analytical capabilities.

🏝️ Benefits

• Engaging work environment with opportunities for professional growth.

• Collaboration with experts in the field of Physics and machine learning.

• Access to cutting-edge tools and technologies.