Research Fellow (research And Innovation In Machine/deep Learning (ml/dl) & (arm) Implementations)

Singapore, Singapore

Job Description


Offer Description



We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine/deep learning (ML/DL) and association rule mining (ARM) implementations that can be applied to handle network security. The works must also lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

  • Develop algorithms and adaptive strategies using ARM and ML/DL models for automatic rule generation and mining on network traffic flow data;
  • Implement ML/DL that may be augmented with real-time/dynamic ARM techniques developed to classify the traffic and to reconfigure the network during attacks;
  • Develop use cases relevant to the application, implement them as a proof-of-concept;
  • Work towards filing an invention disclosure
  • Must conduct performance evaluations/simulations for research works and must work towards publishing research articles;
  • Contribute to knowledge exchange activities with external partners and collaborators;
Qualifications

Requirements
  • A PhD in Computer Science/Computer/Electrical Engineering, with specialization/experience related to machine/deep learning and network security;
  • Proven ability to conduct independent research with a strong and relevant publication record;
  • Prior experience in network security and ML/DL, network traffic flow data handling, information extraction, dynamic or real-time Association Rule Mining based strategies will be an asset;
  • Must be prepared to do network-based implementations
  • Excellent interpersonal communication and oral presentation skills
  • Open to Fixed Term Contract
More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 20973

Requirements

Additional Information

Where to apply Website

STATUS: EXPIRED

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Job Detail

  • Job Id
    JD1343854
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned