Job Information
Massachusetts Institute of Technology Research Scientist 1 in Cambridge, Massachusetts
Research Scientist 1
Job Number: 24658
Functional Area: Research - Scientific
Department: Kavli Inst for Astrophysics & Space Rsrch
School Area: Science
Employment Type: Full-Time
Employment Category: Exempt
Visa Sponsorship Available: Yes
Schedule:
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Posting Description
RESEARCH SCIENTIST 1, Kavli Institute for Astrophysics and Space Research, to cover research for Cosmic Explorer, the concept for a next-generation gravitational-wave detector, particularly the development of computational approaches to study critical aspects of the Cosmic Explorer design, like stray-light mitigation; aid the Cosmic Explorer Project Scientist and Project Engineer in the integration of these and other studies of CE design aspects into the overall observatory design; develop computational approaches (numerical/analytical models) to advance the Cosmic Explorer design, with a focus on stray-light modeling and mitigation techniques in Cosmic Explorer; document the findings to support the conceptual design of Cosmic Explorer, and work with the Project Scientist and Project Engineer in the integration of these and other findings into the overall Cosmic Explorer observatory design; interact with a large group of scientists and engineers working on the Cosmic Explorer design across several institutions and may require the preparation of research narratives for grant proposals and occasional short stay visits to the other institutions working on stray-light mitigation for Cosmic Explorer, including Bard College and Caltech.
Job Requirements
REQUIRED: PhD in Physics; a minimum of two years of experience with straylight mitigation approaches in large scale gravitational wave interferometers; and proficiency with techniques and tools used to model laser beam propagation in interferometers (like Stationary Interferometer Simulation). PREFERRED: Master's in Engineering; familiarity with engineering practices to advance the Cosmic Explorer design; experience with project management practices and risk management; and experience in AI techniques applied to data science. Job #24658
The position is for 2 years, with the possibility of renewal contingent on performance and funds availability.
12/3/2024
