We invite applications for research on weak gravitational lensing, where distant galaxy shape distortions by dark matter reveal the history of cosmic expansion and structure growth in the universe. Two major challenges limit current analyses. First, extracting cosmological information requires precise galaxy redshifts. Spectroscopic observations are accurate but observationally expensive, targeting only ~1% of galaxies. Photometric surveys observe billions of galaxies through color filters but yield imprecise redshifts with systematic biases, contributing 30-50% of weak lensing's systematic error budget and biasing cosmological parameters. Second, baryonic physics - gas, stars, and black hole interactions - alters matter distribution on lensing scales, potentially biasing inferences if improperly modeled. Based on your interests, we will tune the project emphasis towards analytical modeling, advanced statistical and machine learning methods, or hands-on analysis of real data from surveys like Hyper Suprime Camera or Rubin Observatory. The project we will define will be an opportunity to work on a limiting systematic for next-generation cosmological surveys while developing valuable skills in scientific inference, optimization, and astronomical data analysis.