Systems & Automation Engineer (Vacation / Undergraduate / Junior) — High-Impact Placement Brief
The Complementary Engineering Asset for Apex Clean Energy & Minerals's Systems & Automation Engineer (Vacation / Undergraduate / Junior)
ATAR 99.00 Analytical Rigor paired with Enterprise AI Workflows — engineered to absorb operational drag and accelerate Apex Clean Energy & Minerals's technical roadmap from Day 1.
ATAR 99.00
Academic Rank
3 Days (vs 3 Months)
Onboarding Lag
5x Senior Grunt-Work Relief
Workflow Velocity
8–12 Week High-Impact Sprint (or Flexible Semester)
Engagement
The Role Complementarity Matrix
Senior engineers shouldn't spend 20 hours a week wrangling sensor data or cross-referencing standards. Here is how Kate absorbs operational friction from Day 1:
| Advertised Responsibility | Existing Team Bottleneck | How Kate + AI Solves It |
|---|---|---|
| Telemetry & Sensor Data Analysis | Senior engineers lose 15+ hours/week manually parsing noisy CSV sensor logs and diagnosing transient battery fault codes. |
Automated Anomaly & Telemetry Parsing
Python + Polars data pipelines augmented with agentic anomaly detection to wrangle dirty sensor logs and time-series data without manual data cleaning drag.
PythonPolarsPandasDuckDBAgentic Pipelines
|
| Standards & Regulatory Auditing | Manual cross-referencing of AS/NZS electrical and mechanical compliance specs creates bottlenecks before equipment sign-off. |
Automated Anomaly & Telemetry Parsing
Python + Polars data pipelines augmented with agentic anomaly detection to wrangle dirty sensor logs and time-series data without manual data cleaning drag.
PythonPolarsPandasDuckDBAgentic Pipelines
|
| Technical Documentation & Risk Registers | Engineers are backlogged updating FMEA matrices, HAZOP logs, and weekly shift handoff documentation. |
Automated Anomaly & Telemetry Parsing
Python + Polars data pipelines augmented with agentic anomaly detection to wrangle dirty sensor logs and time-series data without manual data cleaning drag.
PythonPolarsPandasDuckDBAgentic Pipelines
|
| Simulation Scripting & Parameter Testing | Writing repetitive parameter sweep scripts for battery thermal models drains lead engineering time. |
Automated Anomaly & Telemetry Parsing
Python + Polars data pipelines augmented with agentic anomaly detection to wrangle dirty sensor logs and time-series data without manual data cleaning drag.
PythonPolarsPandasDuckDBAgentic Pipelines
|
Candidate Profile & Academic Excellence
Uncapped analytical horsepower backed by top-percentile academic distinction.
ATAR 99.00
ATAR Academic Rank (Top 1%)
First Class
Bachelor of Engineering (Honours)
Dean's List
Engineering Commendation
Verified Proof Projects
Automated Heavy Asset Telemetry Parser
Engineered an agentic ingestion pipeline parsing 500k+ sensor data points per second, detecting thermal and vibration anomalies in heavy rotating machinery.
⚡ Impact: Reduced manual telemetry diagnostic time by 80%.
Australian Standards Compliance Assistant
Built a sovereign, local RAG retrieval system indexing heavy vehicle, mechanical safety, and pressure vessel standards to cite applicable clauses in seconds.
⚡ Impact: Turned a 4-hour manual standards review into a 2-minute verified report.
Automated Project Controls & Risk Register Engine
Created an AI workflow that parses engineering change requests (ECRs) and updates risk matrices (FMEA) with cross-team dependencies.
⚡ Impact: Eliminated 10+ hours per week of manual PMO administrative overhead.
Interactive AIgent Technical Brief
Ask any technical, procedural, or operational question to Kate's AI agent:
Kate's AIgent: Hello! I am trained on Kate Corcoran's verified engineering projects, coursework, and AI workflows. Ask me anything about how Kate can solve Apex Clean Energy & Minerals's telemetry, compliance, or simulation challenges.
Quick-Answer FAQ Bank:
💬 How does Kate Corcoran provide immediate value to Apex Clean Energy & Minerals's Decarbonisation & Fleet Automation team without senior hand-holding?
Kate Corcoran arrives equipped with production-grade AI workflow harnesses (including Python/Polars telemetry pipelines and standards RAG). Instead of spending weeks asking senior engineers where documentation or baseline scripts are, Kate uses agentic tools to ingest codebase specs and synthesize data, escalating only true first-principles engineering decisions.
💬 What specific tools and frameworks does Kate Corcoran bring for telemetry and sensor data?
Kate utilizes automated Python, Polars, and DuckDB ingestion scripts augmented with anomaly detection models. In past project work, this pipeline processed 500k+ sensor points/sec for heavy rotating equipment, cutting diagnostic time by 80%.
💬 How does Kate Corcoran handle Australian Standards and safety compliance?
Rather than manually leafing through hundreds of pages of AS/NZS standards, Kate leverages a sovereign, local vector RAG database to query relevant clauses, cross-reference design constraints, and produce verified, citation-backed audit trails in minutes.
💬 What is the proposed engagement structure for this placement?
Kate Corcoran is available for an 8–12 week high-impact sprint (vacation work) or a flexible semester-aligned co-op. This provides Apex Clean Energy & Minerals with elite engineering horsepower on backlog projects with zero long-term headcount liability.