Network Intrusion Detection Intelligent Systems Engineer Contrat : CDD

About The UM6P Vanguard Center

Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups.

Job Summary:

Network Intrusion Detection Systems (NIDS) play a crucial role in safeguarding computer/IOT networks against unauthorized access, data breaches, and cyber threats. As the complexity and volume of network traffic continue to grow, the traditional rule-based NIDS have shown limitations in adapting to emerging and evolving threats. Machine learning (ML) offers a promising approach to enhance NIDS by enabling the detection of anomalous patterns and the identification of new attack vectors.

We are seeking a skilled and motivated Network Intrusion Detection Intelligent Systems Engineer to contribute to our cutting-edge projects. The successful candidate will play a key role in developing and implementing intelligent systems utilizing machine learning for network intrusion detection. If you have a passion for cybersecurity and a strong background in applying machine learning techniques to safeguard network environments, or you have a strong background in cybersecurity and passion for Machine Learning, we invite you to join our dynamic team.

Responsibilities:

• Develop and Implement ML-based Security Solutions:
  • Design, develop, and implement security solutions that leverage machine learning algorithms to detect and respond to cyber threats in real-time.
  • Collaborate with cross-functional teams to integrate machine learning capabilities into existing security infrastructure.
• Vulnerability Analysis and Threat Modeling:
  • Conduct thorough analysis of potential vulnerabilities in systems, applications, and networks.
  • Utilize machine learning models for threat modeling and risk assessment to enhance overall cybersecurity posture.
• Incident Response and Forensics:
  • Actively participate in incident response activities, utilizing machine learning to identify patterns and anomalies in security events.
  • Conduct digital forensics to analyze and understand the scope and impact of security incidents.
• Continuous Monitoring and Adaptive Defense:
  • Implement and maintain continuous monitoring systems that adapt to emerging threats through machine learning-driven analytics.
  • Stay current with industry trends and advancements in both cybersecurity and machine learning to enhance defensive capabilities.
• Collaboration and Knowledge Sharing:
  • Work closely with security analysts, data scientists, and IT teams to share knowledge and best practices.
  • Provide guidance and mentorship to junior team members.

About the employer

Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco’s frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.

Requirements:

• Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field.
• Proven experience in cybersecurity roles with a focus on threat detection and response.
• Strong programming skills in languages such as Python, Java, or C++.
• Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
• Familiarity with cybersecurity frameworks and standards (e.g., NIST, ISO 27001).
• Excellent problem-solving skills and the ability to think critically in a fast-paced environment.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Demonstrated ability to write clean, maintainable, and testable code.

Preferred Skills:

• Certifications in cybersecurity (e.g., CISSP, CEH) and machine learning.
• Experience with big data technologies and distributed computing.
• Knowledge of cloud security principles and practices.

If you are passionate about cybersecurity, machine learning, and staying ahead of cyber threats, we invite you to join our Vanguard team and contribute to the ongoing success of our security initiatives.