Controls & Systems - Design Consultant

Define the control-system requirements and constraints for the DNA Origami actuator–sensor system — sensor bandwidth, noise floor, and latency; actuator drive-signal range and dynamics; and end-to-end observability — and feed them into the device-physics and DNA-origami design decisions early. Review the field-effect (FET) position-sensor and electrostatic drive-stack designs through a controls lens, flagging choices that would make the system hard to stabilize, identify, or estimate. Specify what the early ensemble and single-molecule experiments must log (sampling, excitation, metadata) so the data is usable for later system identification and ML modeling of the device response. Sketch the closed-loop control architecture and a simulation/estimation plan (feedback stabilization, averaging, observers) that the incoming full-time Controls engineer will implement. Provide a clean, documented handoff to the team. Requirements PhD or MS (or equivalent industry depth) in controls, robotics, electrical engineering, or a related field, with hands-on closed-loop control-system design. Track record translating plant and sensor characteristics into design constraints, ideally for noisy, nanoscale, or precision-instrumentation systems. Strength in system identification and estimation (Kalman filters / observers) and in specifying data capture for later modeling. Comfort advising a physics and wet-lab team fractionally, with occasional on-site collaboration in Emeryville. Core Competencies Demonstrates expertise in closed-loop control-system design, system identification, and data capture for modeling in precision instrumentation. Capable of translating complex sensor and actuator characteristics into actionable design constraints while collaborating effectively with interdisciplinary teams. Highest-signal resume keywords Closed-Loop Control-System Design System Identification Kalman Filters Data Capture Specification Collaboration with Physics and Wet-Lab Teams ATS Optimization Keywords Hard Skills Control-System Requirements Definition Sensor Bandwidth Analysis Noise Floor Assessment Actuator Drive-Signal Dynamics Simulation and Estimation Planning Soft Skills Advising Collaboration Certifications & Qualifications PhD in Controls, Robotics, Electrical Engineering Industry Keywords Precision Instrumentation Nanoscale Systems Electrostatic Drive-Stack Design Field-Effect Position-Sensor Closed-Loop Control Architecture #J-18808-Ljbffr Jobtailor