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Concordia University
Research Support Professional – CISEConcordia University • Montreal, Quebec, CA
Research Support Professional – CISE

Research Support Professional – CISE

Concordia University • Montreal, Quebec, CA
19 days ago
Salary
CA$27.03 hourly
Job type
  • Full-time
Job description
Research Support Professional – CISE Last updated: May 19, , 4:45 p.m. Posting period: 19 May to 2 June Anticipated Contract Start Date: 8 June Anticipated Contract End Date: 8 June Salary: $27.03 - $46.79 per hour, commensurate with relevant work experience and education Hours per week: 35 Position title: RESEARCH SUPPORT‐PROFESSIONAL Department: Cybersecurity and Intelligent Systems Engineering PI or Immediate supervisor: Zachary Patterson Job description Reporting to Zachary Patterson, the successful candidate will develop a full-stack solution for a smartphone travel survey platform. Primary responsibilities Development of: The STACK (accurate, not generic) Core JavaScript / TypeScript (expert-level) Node.js Next.js 14 (SSR + App Router) Frontend React Leaflet (maps) Custom animation systems (no libs reliance) Backend Express / Next API routes PostgreSQL (Neon + Docker) Data Processing Web Workers (parallel computing) Streaming parsers (CSV) Custom grouping + similarity algorithms Mobile Application Flutter (Dart) ML TensorFlow.js ml-random-forest Security / Middleware (your differentiator) Custom layered middleware architecture Token validation systems Anti-bot / abuse detection logic Behavioral validation pipelines Infra Vercel Docker GitHub Actions Details of STACK 1. End-to-End JavaScript System Architecture Designed full platform using: Next.js 14 (SSR + dynamic rendering) Node.js APIs PostgreSQL (Neon + local Docker) Managed full lifecycle: data collection → processing → visualization → decision systems 2. Custom Middleware Security Architecture Layered middleware for: request validation anti-bot detection behavioral filtering reward abuse prevention Token-based authentication for persistent data streams Multi-layer defense strategy for unique user authentication 3. Geospatial Data Processing & Algorithms Solution will be able to process 20M+ GPS points and undertake: Trip grouping systems Route classification (green / yellow / delayed) spatial clustering anomaly detection (traffic, reroutes) 4. High-Performance JavaScript Processing Solution will include: Web Workers (max CPU usage via navigator.hardwareConcurrency) Parallel processing for heavy computations Optimization: CSV streaming (avoiding memory crashes) large dataset processing (Node heap tuning) 5. Sophisticated Frontend Systems Solution will include: Real-time map visualizations (Leaflet) Complex UI interactions Animation systems (custom components, physics-like transitions) SDUI engine (Server-Driven UI) → dynamic rendering of entire pages from backend configs 6. Mobile Data Platform Solution will include: Flutter app: collects GPS + survey data integrates chat support handles user interaction & data syncing 7. Applied Machine Learning Solution will include: ML pipelines in Node.js (TensorFlow.js + Random Forest) Feature engineering (time, speed, demographics) class balancing model evaluation + export Integrated ML into real system (rare) 8. Dynamic Reward & Behavior System Solution will include: Built system that: evaluates user eligibility prevents abuse dynamically assigns rewards Integrated with: middleware security layers behavioral tracking Qualifications Undergraduate degree in Software Engineering or Computer Science or equivalent At least four to ten years of related work experience. Good spoken and written English and French required. Fluency in English and French is considered a significant asset. Excellent interpersonal skills; ability to work independently and in a team environment and to interact effectively with internal and external communities. Outstanding organizational skills; ability to prioritize work and to perform well under pressure. Previous work experience in a university environment is an asset.
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Research Support Professional – CISE • Montreal, Quebec, CA

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