Research Fellow (Collabml)

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processes only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on trusted collaborative machine learning that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for trusted collaborative machine learning;
  
  
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
  
  
• Develop ideas for application of research outcomes;
  
  
• Contribute to knowledge exchange activities with external partners and collaborators;
  
  

Requirements

• A PhD in Computer Science, with specialization related to machine learning, data mining, artificial intelligence or databases;
  
  
• Proven ability to conduct independent research with a strong and relevant publication record;
  
  
• Prior experience in federated learning, Bayesian optimization, or privacy/security research in data sharing would be a plus;
  
  
• Experienced in using the latest machine learning, AI, and big data platforms;
  
  
• Excellent interpersonal communication and oral presentation skills in English