The Senior Systems Engineer is responsible for supporting the development, analysis, and integration of linear, nonlinear, and digital control systems by collaborating closely with customers to understand technical requirements and mission needs.
Responsibilities
Attend customer meetings to understand requirements related to linear and nonlinear control systems, including digital controls
Work within the control systems design and development domain
Review, develop, and document system-level operational concepts and mission statements
Understand platform integration requirements at the platform level
Perform verification and validation of highly complex system designs to ensure conformance with functional specifications and customer requirements
Requirements
Bachelor of Science degree in electrical engineering
Bachelor of Science degree in mechanical engineering
Bachelor of Science degree in aeronautical engineering
Model, develop, simulate, and analyze launch vehicle and spacecraft dynamics, control systems, performance, and stability in both the frequency and time domains with varying levels of fidelity.
Responsibilities
Model, develop, simulate, and analyze launch vehicle and spacecraft dynamics (including aerodynamics, flexible body, slosh, actuators, etc.), control systems, performance, and stability in both the frequency and time domains with varying levels of fidelity
Resolve complex problems pertaining to the design, development, analysis, integration, evaluation, testing, and verification of control systems and 6-DoF models and simulations
Conduct verification and validation of launch vehicle and/or spacecraft
Develop, modify, maintain, and improve software simulations, tools, and scripts
Configure, conduct, and analyze 6-DoF Monte Carlo simulations
Requirements
Degree in Aerospace, Mechanical or Electrical Engineering or related field from an ABET accredited institution
Nice to have: Derive multi-body spacecraft dynamics equations of motion (nonlinear and linear state equations)
Nice to have: Modeling and simulating manual control of spacecraft (controllability, transfer function models, Cooper Harper ratings, paper pilot modeling)
Nice to have: Software development, verification, and validation
Nice to have: Programming in Python
Skills
Research Fellow for Development of a Novel Vestibular Diagnostic - School of Sport, Exercise and Rehabilitation Sciences - 103852 - Grade 7
The post holder will undertake a comparison of EVS against the leading alternative vestibular diagnostics in a large cohort of patients with Meniere’s disease and Vestibular Schwannoma. They will be involved in all aspects of the research, from patient recruitment and testing through to data analysis and preparation of publications.
Locations (2)
Birmingham, England, United Kingdom
United Kingdom
Compensation
Full time starting salary is normally in the range £37,369 to £46,970 with potential progression once in post to £49,798
Responsibilities
Develop patient recruitment strategies to ensure targets are met and the project runs to time, in collaboration with clinical colleagues
Develop and validate the vestibular testing facilities within the SportExR laboratories.
Undertake diagnostic vestibular testing of vestibular patients and control participants at SportExR
Analyse and interpret data using software such as Matlab and Excel.
Present data to the research team, and at national and international conferences.
We are seeking a highly motivated Control Systems & Algorithms Intern to join our team. We focus on developing real-time optimization and control algorithms for low-compute hardware that drive the next generation of smart household appliances.
Compensation
The hourly salary range for this position is displayed below.
Hourly Pay Range
$30—$40 USD
Responsibilities
Design and implement real-time control algorithms for appliance subsystems (thermal, fluidic, and electromechanical)
Work directly with pumps, heaters, boilers, AC/DC, and stepper motors, and their drivers
Interface with low-cost sensors (temperature, flow, pressure, torque, etc.) and implement signal processing, filtering, and estimation techniques (e.g., Kalman filters)
Apply classical control methods (frequency response analysis, PID design, and tuning) to achieve stability and robustness in systems with significant delays and nonlinearities
Rapidly build and iterate prototypes and test rigs to validate algorithms in real hardware environments
100% Employer paid insurance (Medical, dental, vision, life insurance, accidental death and dismemberment, short-term disability, and long-term disability)
11 paid holidays annually
Generous PTO
401k after 12 months of service with employer match
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