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The successful candidate(s) will lead the internal validation of components of the science pipelines (e.g., shear estimation, PSF estimation, deblending, coaddition) on weak lensing estimates. As a member of the LSST project team, this role will collaborate closely with other parts of the geographically distributed LSST construction team and with the LSST Dark Energy Science Collaboration. As a member of the Department of Astrophysical Sciences, this role comes with full rights to HSC survey data and an invitation to join the HSC weak lensing collaborations. An ideal candidate would have a research record in shear estimation, PSF modeling, or other image processing algorithms relevant for weak lensing on large imaging surveys, experience in software development with Python or C++, and a collaborative spirit. A Ph.D. in a related field is required.
We are seeking to recruit from as diverse a pool of talent as possible, and endeavor to preserve the Department of Astrophysical Sciences’ reputation as a pleasant workplace with a lively and friendly scientific atmosphere which recognizes that technical innovations are an important intellectual contribution to the science produced by major astronomical surveys.