The Cooling and Heating for Architecturally Optimized Systems Lab (CHAOS), directed by Assistant Professor Forrest Meggers, is an interdisciplinary lab at the intersection of the School of Architecture and the Andlinger Center for Energy and the Environment. The lab brings together researchers with interest in the flow of energy and entropy and how their quantification through exergy analysis can help optimize building systems. By better understanding heat transfer processes in building systems we can uncover opportunities for system integration and leverage architectural design of surfaces and mass in buildings to create precise thermal conditions.
Having developed a novel suite of sensors that combine spatial geometry scans with point measurements such as surface temperatures in real time for control and automation, the data and radiative heat exchange algorithms allow the sensor to track the position and thermal conditions of objects in space. The research specialist will be responsible for integrating this technology with robotic manufacturing systems to identify and manipulate objects in production environments.
The position reports directly to Assistant Professor Forrest Meggers, and works closely with affiliated postdocs, graduate students and research staff.
- to support the development of a robotic actuator for our radiant heat transfer sensor and integration into other robotic actuators at the disposal of the lab, as well as any development of the existing sensors necessary to make them suitable for these applications;
- to perform lab work in firmware and microcontroller scripting and optimization involving hardware construction, 3-D printing and fabrication;
- to perform advanced fabrication, visualization and graphical work, across multiple architectural and engineering software suites (CAD, Rhino, Fusion, Grasshopper, Blender, Maya etc), and work with point cloud and mesh data generated by our sensor and other sensors necessary for the project; and
- to perform architectural design, integrating the robotic system and sensor into virtual and physical architectural environments and building systems.
Education: Bachelor degree (BA or BS) in architecture and/or engineering field required.
Experience: 4-6 years’ experience in academic research or work environment with expertise in architecture and/or engineering. Project experience in robotics and robotic programming, radiant heat transfer, machine learning algorithms and/or computer science/programming. Experience in manufacturing, mechatronics and industrial robotics and expertise in photogrammetry, point cloud manipulation, robotics programming, imaging, thermodynamics, extensive 3D modelling and advanced fabrication techniques are also preferred. Additional programming capabilities in low level hardware language, microprocessors, and computational algorithms for image analysis and machine learning are desirable.
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