Scientist / Engineer - Laser Modeling and Analysis

13 ago - Italia
Mit Media Lab

As NASA prepares to return humans to the Moon in the Artemis program, Lincoln Laboratory enabled the first-ever laser communication link for a crewed deep-space flight. The Orion Artemis II Optical Communications System, developed by MIT Lincoln Laboratory in collaboration with NASA Goddard Space Flight Center, successfully used lasers to transmit high-definition video back to Earth as the Artemis II astronauts executed their lunar flyby. This work builds on decades of innovation at Lincoln Laboratory in lasers, sensors, and communications systems.

Our recent work in laser technology spans applications from high-resolution 3D imaging ladar systems used for large-area terrain mapping and disaster response, to advanced laser communication systems enabling resilient, high-bandwidth links, to high-energy laser architectures employing coherent beam combining to achieve record levels of brightness and beam quality. We also develop beam-control approaches to enable laser operation in challenging environments, and hardware and data processing techniques to detect and geolocate laser use.



Across these efforts, modeling, simulation, and data analysis play a critical role in system design, performance prediction, and informing the direction of innovation to have lasting mission impact.

Job Description

Laser Modeling and Analysis

The Laser Technology and Applications Group seeks to add a member to the Modeling and Analysis Team. This role includes modeling laser propagation and electro-optic sensing devices, and analyzing the results of calculations, simulations, and experiments. These efforts support the development of directed energy and other laser systems, photonic devices and circuits, novel tools for scientific study, and related technologies with national security impact. The Modeling and Analysis Team is involved with all stages of development, including developing initial understanding of novel concepts, the generation of performance predictions to inform hardware-

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