Bullisher is a data centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. Predicts trends in the aerospace and government defense entities, predicts trends in political shifts and the ability to influence actual effect changes in government policies through innovation.
JOB DESCRIPTION:
This role may suit an individual with extensive level experience in MATHEMATICAL SYSTEMS AND CONTROL THEORY - Relationships modeling to codify powerful hidden patterns, where decisions and executions have their immediate impact on the outcome of engagements in real-time. Areas to cover will include transitioning from systems identification to the first principles that govern robust complex physics-based systems, for high-speed wide bandwidth robust reliable coherence frequency signal generators. The systems dynamics is autonomous to the protocol mapped over it. Responsibilities include signal generations and acquisitions, digitizer signal, complex digital IQ waveform, frequency divider signal, frequency multiplier, discrete time domain, velocity sensor, and force actuator. Mandate to improve includes automatic monitoring, virtual inspection, measurement cost, simulation-based certification, forecasting predictive maintenance, data assimilation, observation data, control inputs, probabilistic graphical model, and the dynamics decision network.
A strategic approach is fundamentally guided by software that transforms and manages our own relationships in conformity with metrics, benchmarks, machine learning algorithms, and AI edge computing, understanding how the equipment is performing at a given point of interest alignment with workloads and their supporting infrastructure. This newly created role is for a team of three. The oversight requires you to build an incorporating physics-based systems, data-driven learning, state-of-the-art computational science, and deployment across partner members nationwide. This scope includes items that are also within the scope of regulatory oversight regimes and will be addressed through cooperation with System Authorization of Control Systems (cATO) and Risk Management Framework (RMF) in conformity with DoDI 8510.01, Federal Information Security Management Act (FISMA), and in accordance with NIST SP 800-37, (NIST) Special Publication (SP) 800-53. System components within the attention will focus on safety and performance (e.g., reference signal, actuator commands, sensor locations, controller mains, velocity sensors, accelerometers, data security, data integrity, edge data privacy, and environmental aspects) which will contribute to regulatory frameworks.
WHAT ARE WE LOOKING FOR:
* A proven leader incrementally, implemented ZTA (ZERO TRUST ARCHITECTURES) in conformity with the DEFENSE SOFTWARE MODERNISATION FRAMEWORK.
* Academic level training in building heavy mathematical abstraction systems operations that provide end-to-end analytics with single input and single output streams.
* Extensive level experience in metrics that identify the optimal location to move workloads based on workload type/criticality.
* A track record recognition in complex dynamics systems scientist, e.g., OPERATING FREQUENCY, embedded with numerical control Oscillator, generates a time discrete output for a particular operating frequency. This two signals are convolved digitally to produce a single time discrete IQ waveform that turns into an analog signal by going to Digital to Analog converter (DAC).
PHYSICAL DEMANDS: This position requires the ability to communicate and exchange information, utilize equipment necessary to perform the job, and move about the office.
ENVIRONMENT: This position will operate in the following areas of the organization regulatory engineering division MULTIDOMAIN DEFENCE DOCK:
MULTIDOMAIN DEFENCE DOCK Standard engineering lab environment.
Employees must be legally authorized to work in the UK. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
INTERVIEW PROCESS:
* STAGE 1: COGNITIVE ABILITY TEST
* STAGE 2: COGNITIVE ASSESSMENT SCREENING: WITH A 30yrs+ EXPERIENCE PSYCHOLOGIST:
* STAGE 3: PRE-SCREENING (verification checks & security clearance)
* STAGE 4: INTERVIEW WITH THE CEO, CTO & GC
QUALIFICATIONS, KEY REQUIREMENTS AND SKILLSET:
* Excellent programming skills.
* PHD in multi-physics engineering systems/STEM/Mathematical systems and control theory.
* Proficient in Neural Networks for Complex Dynamics Systems is essential.
* Preferred: Control Systems scientists/Quantum systems scientists.
* Offensive Security Certified Professional (OSCP), Certified Information Security Manager (CISM) is essential.
* Certified Authorization Professional (CAP).
* Certified Network Defender (CND).
* Information Systems Security Architecture Professional (ISSAP).
* Information assurance system architecture and engineer (IASAE)
* It’s prerequisite to be certified in one of the listed DoD 8570 Certifications.
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