Position Details:
Location: CMKL University
Position Type: 1-year contract (through the end of 2025)
Start Date: Immediate
Compensation: Hourly rate of 200 THB per hour with flexible hours
Application Deadline: Rolling basis
Qualifications: Current undergraduate or graduate student
Selection Process: Interested candidates should submit a CV and a brief cover letter explaining their interest in the position and qualifications. Shortlisted candidates will be invited for an interview.
About the position
The AI Cyber Security Engineer apprenticeship role focuses on best practice security programs and technical assessment techniques. This data scientist & engineering role is designed to be able to utilize knowledge and skill to measure cybersecurity and AI business environments. This includes an understanding of AI cyber security best practices in building modern security programs and processes. Further, an understanding of this role will operate at CMKL University for AI/Cybersecurity research in collaboration with our industrial partner.
Job competencies
Below are the primary competencies for this AI Cyber Security Engineer role. The ideal candidate will possess the following competencies and skills. While not all competencies are required, having knowledge or experience in these areas will be highly beneficial for successfully completing tasks.
AI Technical Modes & Frameworks
- Skilled in the use of technical security protection attack models (Mitre).
- Research and implement AI system security protection models (Atlas).
- Familiar with rapid changes and innovation tracking
IT Infrastructure for AI Systems
- Understanding of IT infrastructure and engineering for AI deployments
- Hardware, software and cloud engineering for AI deployments
- Software and networking essentials for AI deployments
- End-point engineering for AI deployments
- Network engineering for AI deployments
- Physical security and power IT engineering for AI deployments
- Infrastructure essentials for AI
- Hardware requirements: servers, GPUs, storage systems
Automation & Operations
- Comprehend security operations principles
- SOAR and AI automation principles
- Network engineering technique
- Secure AI platform engineering
- Techniques for application logging & monitoring AI automation.
- Understand techniques for network logging & monitoring AI automation.
- System backup using AI automation
Research, Vulnerabilities & Counterintelligence
- Understand defensive threat strategies against known and unknown vulnerabilities
- Automated threat detection using AI and log analysis
- Spot, assess and evaluate counterintelligence vulnerabilities.
- Perform research using a wide variety of IC Specific databases
- Vulnerability mgmt. AI automation techniques
AI Integration and Automation
- Integrating AI into existing IT systems
- Automating tasks using AI and machine learning
- Case studies on AI-driven automation in industries
Incident Management AI Automation
- Be knowledgeable in incident response system basics
- Use of AI in incident mgmt. and response
- Use of AI in forensics and mgmt.
- DR and BCP integration
If you are interested, please apply via THIS LINK.
