Research Assistant

Overview*

The candidate will support innovation and technology projects under ARCHIVE and Healthcare Redesign. He/She will be working on projects applying Artificial Intelligence and Machine Learning (AI/ML) to develop advanced tools for speech therapy. This role involves collaboration with a dynamic team of researchers from NUS School of Computing and clinical experts to design, develop, and evaluate AI-driven models and applications aimed at enhancing speech therapy delivery process.

Job Responsibilities*

You will be responsible for the following:

• Organize existing relevant speech datasets as well as newly collected speech datasets
• Write python scripts for data loading, training speech recognition models and inference
• Develop a web interface for real-time access of the trained model
• Participate in testing and validation of developed technologies in clinical settings to ensure efficacy and safety
• Contribute to writing scientific papers, report and grant proposals.
• Support project team in daily administrative tasks and project management and project management activities.
  
  
  

Requirements*

• Bachelor or Master’s degree in Computer Science or related field
• Proficient in neural networks frameworks such as pytorch
• Preferably experienced in automatic speech recognition topics
• Speech or Audio research experience, with publication submissions for relevant conferences such as ICASSP or Interspeech.
• Good verbal and written communication skills
• Ability to work collaboratively in a multidisciplinary team environment
• Prior exposure to or interest in healthcare and clinical applications is highly desirable
  
  
  

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

• Only Singapore Citizens and Singapore Permanent Residents may apply.