Uni Internship May to Oct 2025 - Signal processing for the development of clinical decision support

Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere.
 
Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.
 
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.

Sleep disturbances and sleep disorders often result in a wide range of comorbid conditions, predominantly of the cardiovascular/respiratory, endocrine/metabolic, and neuropsychiatric systems. Sleep disorders also have adverse effects on quality of life, leading to worsening physical functioning scores and decrements in health status measures. The gold standard for the diagnosis of sleep disorders is the attended polysomnography (PSG). A PSG records multiple physiological signals from diverse biosensors placed in different parts of the body. Our team has already developed models for sleep stage classification and for respiratory event detection. The models are currently being deployed into clinical workflows.

The objective of this project is to develop and evaluate models for the detection and classification of sleep disorders using physiological data collected by 1) specialized instrumentation at hospitals and 2) wearable devices at patients' home.

The development of these models involves:

• Exploration and understanding of the different channels of signal data collected by the instruments
• Understanding the clinical practices for scoring the physiological data
• Data cleaning and data-preprocessing in a suitable format for model training
• Engineering of time-domain and frequency-domain features
• Training and optimizing machine learning and deep learning models
• Post-processing of model outputs
• Understanding machine learning and clinical metrics for model evaluation

The internship will require to perform some or all of the following tasks:

• Validate the models with prospective data at the hospital
• Scale and integrate the models to other clusters
• Contribute to the writing of a potential publication for a conference or journal
• Develop and/or test models using wearable device data

Note: The scope of the project may change depending on company priorities. In addition, the student may be asked to contribute and support additional ongoing projects and duties on demand basis.

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Computer Science, Computer Engineering, Data Science or related discipline
• Graduating in Dec 2025 or May/Dec 2026
• Strong coding skills in Python programming language for data processing and model development is required
• Familiarity with git, github repositories and object-oriented programming is desirable
• Experience with 1D signal data (time series, audio, etc.) is preferrable.
• Experience with MLops, ML engineering and AI deployment, AWS cloud stack or related deep learning algorithm is a plus. 
• Ability to communicate effectively and present results and findings
• Ability to multitask and work effectively as part of a multidisciplinary team
• Ability to document comprehensively and rigorously internship project materials, including literature articles, code, results, findings, and slides
• Passionate and keen to make a difference to re-imagine the future of HealthTech

#LI-YG1

#LI-LK1