Not specified; not specified; 25 days annual leave...
Hybrid (up to 2 days per week from home)
Master's degree in computer science or related field
Strong python programming skills
Experience with pytorch or tensorflow frameworks
ETH Singapore SEC Ltd. is seeking a PhD Researcher to develop and evaluate a digital health platform aimed at enhancing neurorehabilitation for stroke survivors. The role emphasizes collaboration with healthcare institutions, the integration of AI technologies, and the development of a mobile application to support rehabilitation at home
Job Summary
This PhD project focuses on developing an LLM-based conversational agent to improve adherence to home rehabilitation for stroke survivors.
The role involves creating a cross-platform mobile application that integrates with soft robotic exoskeleton technology for real-time data exchange.
Candidates will collaborate with Nanyang Technological University and Tan Tock Seng Hospital to conduct clinical trials evaluating the digital platform's impact.
Matching Summary
Match Score: 85
ETH Singapore SEC Ltd. is seeking a PhD Researcher to develop and evaluate a digital health platform aimed at enhancing neurorehabilitation for stroke survivors. The role emphasizes collaboration with healthcare institutions, the integration of AI technologies, and the development of a mobile application to support rehabilitation at home.
Salary
Not specified; Not specified; 25 days annual leave; 1 day Birthday Leave; Annual dental benefits; Comprehensive healthcare insurance; Flexible hybrid work arrangement
Skills & Requirements
Must-have
Master's degree in Computer Science or related field
Strong Python programming skills
Experience with PyTorch or TensorFlow frameworks
Mobile app development experience
Machine learning model training and deployment
Nice-to-have
Prior LLM integration experience
Familiarity with AWS cloud platforms
React Native or FastAPI framework knowledge
Motivational interviewing strategies
Collaboration with clinical partners
Key Requirements
Master's degree in Computer Science, Software Engineering, Health Sciences, or related fields
Hands-on experience with machine learning techniques and data pipelines
Proven track record in developing mHealth applications