Postdoctoral Associate, Mediated Matter
Media Laboratory-Mediated Matters, to conduct research on a computer-aided design (CAD) software environment that allows users to design a shape or pattern for synthetically engineered cell colonies and aggregates.
The goal is to develop a new computational design environment that enables users to infer regulatory networks for engineered cells based on specified constraints. Sub-goals are to explore the possible design space of engineered cells encoding developmental circuits and to generalize the CAD environment to make predictions towards regulatory networks required to generate predefined patterns and shapes for engineered cells.
Responsibilities include developing and applying mathematical modeling tools for, and the visual representation of, physical cell-to-cell interactions, differentiation, quorum signaling, reaction to signaling, and fluorometric cell response; integrating modules in an interactive environment with a user-interface; creating documentation; and presenting progress reports.
The Mediated Matters group focuses on nature-inspired design and design-inspired nature and conducts research at the intersection of computational design, digital fabrication, materials science, and synthetic biology.
Full description available at https://www.media.mit.edu/about/job-opportunities/.
REQUIRED: Ph.D., preferably in computer science; strong background in programming (experience with modern C++ highly appreciated) and designing user interfaces; excellent interpersonal and verbal and written communication skills; and ability to work in a fast-paced, highly-collaborative, team-oriented environment with a multidisciplinary group of students and researchers, including those from the biological sciences.
Experience in or knowledge of biological sciences (e.g., systems, developmental, and/or synthetic biology or a related discipline); understanding of numerical methods for the discretization of complex dynamic systems; experience with deep learning, artificial neural networks, evolutionary computations, or artificial intelligence-related methods; and experience with computer vision-related methods for the evaluation of pattern formation processes preferred.
The initial appointment will be through May 14, 2019, with the possibility of extension based on funding and the direction of the research.
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.