Research Engineer (in AI-assisted Speech Therapy) - ZZC

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT); Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading university in Singapore is seeking a researcher for an applied research project on AI-assisted speech therapy. Responsibilities include developing models for Automatic Speech Recognition and Text-to-Speech, managing data, and integrating systems for real-time applications. Candidates should hold a Bachelor's, Master's, or Ph.D. in Computer Science or related fields, with strong programming skills in Python and experience with ASR/TTS models.

Qualifications

• Educational background in Computer Science, AI, ML, or related field.
• Experience in training and fine-tuning ASR or TTS models.
• Strong proficiency in Python and deep learning frameworks.

Responsibilities

• Contribute to applied research project related to AI-assisted speech therapy.
• Design, train, and fine-tune ASR and TTS models.
• Oversee data collection and ensure quality.

Skills

Model Development

Data Management

System Integration

Tooling and Automation

Collaboration and Knowledge Transfer

Programming in Python

Using deep learning frameworks like PyTorch or TensorFlow

Web development skills

Education

Bachelor’s, Master’s, or Ph.D. in Computer Science or related field

Tools

FastAPI

Flask

React

Job description

Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Singapore Application Deadline 4 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to contribute to an applied research project related to AI-assisted speech therapy in collaboration with hospital partners.

Key Responsibilities:

• Model Development:Design, train, and fine-tune ASR and TTS models to achieve high accuracy and personalization across diverse speech patterns and impairments.
• Data Management:Oversee data collection and preprocessing in collaboration with healthcare partners to ensure quality, diversity, and clinical relevance.
• System Integration:Export and deploy models for real-time use on mobile and web platforms, and work with developers to ensure seamless integration.
• Tooling and Automation:Develop pipelines and utilities to support data processing, model training, evaluation, and continuous improvement.
• Collaboration and Knowledge Transfer:Document technical processes, contribute to multidisciplinary teamwork, and guide students in applied research and system development.

Job Requirements:

Educational Background

Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Master’s degree is preferred.

ASR/TTS Expertise

Experience in training and fine-tuning Automatic Speech Recognition (ASR) or Text-to-Speech (TTS) models, preferably in multilingual or speech impairment contexts.

Programming Skills

Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask, or React) is a plus.

Familiarity with speech data collection, preprocessing, and management to ensure quality and ethical data use.

Deployment Knowledge

Experience exporting and deploying models on cloud or cross-platform environments.

Collaboration and Communication

Strong teamwork, documentation, and communication skills to work effectively with multidisciplinary teams and healthcare partners.