Opportunity at National Institute of Standards and Technology (NIST)
Measurement Science and Engineering Biology
Material Measurement Laboratory, Biosystems and Biomaterials Division
Please note: This Agency only participates in the February and August reviews.
|Ross, David J.
|Strychalski, Elizabeth A
New measurement methods and tools are required for biology to emerge fully as an enabling, practical platform for engineering. The Cellular Engineering Group works to provide a foundation of measurement assurance to support the control and rational design of biological function. Through state of the art synthetic biology, automation, and machine learning, the Group creates living measurement systems, such as cells, engineered to sense and respond in programmed ways. Importantly, building these systems both requires and advances meaningful quantitation of the effects of environmental context and evolution. The Group aims to advance fundamental understanding, improve predictability for design, ensure reproducibility and comparability, and facilitate scalability for real-world applications of engineered biological systems.
We are recruiting applicants for experimental and theoretical research to advance rational design for engineering biology. Of particular interest is the development of new approaches to measure, understand, predict, and control information, learning, function, and evolution across the spatial and temporal scales of biological organization, although related ideas in other topics are welcome. In addition to bacteria and yeast, applicants with interest in cell-free systems, engineering subcellular confinement, minimal life, and related topics are welcome. We are seeking independent and motivated individuals with excellent communication skills and backgrounds across the physical, engineering, chemical, and biological disciplines to contribute to collaborative, interdisciplinary projects. Facilities include state of the art systems for automated microbial engineering, culture, and measurement, single-molecule fluorescence microscopy, and cleanroom fabrication and characterization.
Synthetic biology; Engineering Biology; Metrology; Metabolic Engineering; Predictive models; Genetic circuits; Standards in biology; In vivo measurement; Theoretical models; Rational design; Single molecule; RNA
Open to U.S. citizens
Open to Postdoctoral applicants