The Floodsense project is investigating the impact of urban street flooding on communities in Brooklyn. The project aims to develop a longitudinally deployed fleet of advanced remote sensors for mounting in flood-prone communities to detect the depth and profile of flood events.
We are seeking a motivated candidate with experience in hardware and embedded software development to build upon our current flood sensor prototype and to work with our various community stakeholders to identify and deploy sensors at strategic urban locations. The candidate will also work on the analysis of the data generated by these deployed sensors including other related datasets, for the identification of pre-flooding indicators and patterns in flood dissipation across the sensor network.
The project for this position will be based at the Environmental Intelligence Lab at 370 Jay St, Brooklyn, NY, which offers a sensor prototyping space with various tools and equipment including: 3D printer, laser cutter, CNC router, oscilloscopes, signal generators, calibration devices, power monitoring units, common sensor parts, and a roof based sensor prototyping platform.
The team encourages applications from women and others from communities traditionally underrepresented in computer science and engineering research.
Required level of experience required:
MS in computer or electrical engineering, with experience in hardware design and construction
Required candidate skills are:
Physical computing with hardware platforms such as Arduino
Knowledge of programming in C/C++ for embedded platforms
Electrical engineering including SMT soldering
Python programming for data analysis
Familiarity with client-server communication
Experience with PCB design tools would be a plus
To apply, please include (1) your resume and (2) a list of related, past projects you have worked on. Applicants will be interviewed starting June 9, 2021, and on a rolling basis thereafter until the position is filled.
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