Uni Internship Jan to May 2026 - Video Analytics & Computer Vision Model, & Application Development

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.

The objective of this project is to develop cutting-edge computer vision models and design a comprehensive healthcare system that integrates these models. This system will function as a decision support tool for clinicians, aimed at augmenting diagnostic accuracy and enhancing productivity. The internship will commence with a foundational understanding of various advanced computer vision frameworks, progressing towards the prototyping and development of a collaborative application that addresses real-world healthcare challenges.

First Phase: The internship will begin with a foundational understanding of advanced computer vision frameworks, equipping the candidate with essential theoretical knowledge and practical skills. 

This phase will include:

• In-depth study of computer vision algorithms and techniques
• Hands-on experience in developing computer vision models
• Implementation of algorithms for image processing, feature extraction, and model training
• Data exploration and preprocessing to effectively handle real-world datasets
• Familiarization with popular computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch)
• Understanding of deep learning architectures commonly used in computer vision (e.g., CNNs, R-CNNs, GANs)

Second Phase: Building on the skills acquired, the internship will advance to the prototyping and development of a collaborative application that addresses real-world healthcare challenges.

The selected intern will participate but not limited to the following:

• Web or mobile app development using modern frameworks and technologies
• Integration of AI models into the application, ensuring efficient functionality
• Designing user-friendly interfaces for healthcare professionals
• Implementing secure data handling and storage solutions
• Developing APIs for seamless communication between the front-end and back-end systems
• Collaborating with healthcare professionals to gather requirements and refine the application
• Conducting thorough testing and validation of the developed system
• Documenting the development process and creating user manuals
• Presenting the final product to stakeholders and incorporating feedback

About you:

• Be pursuing a Bachelor Degree in Business Analytics, Data Science, Computer Engineering, Computer Science or related discipline
• Graduating in May/Dec 2026 or May 2027
• Strong coding skills in python programming language
• Familiarity with git and github repositories is desirable
• Understand concepts related to image data augmentation and deep learning models
• Hands-on experience in Python for image processing and model deployment for app development is preferred
• Familiarity with API integration, hands on web/mobile application development is preferred
• Adaptability to work on a constantly evolving environment
• Independent, fast-learner, and self-driven
• Good team player with strong analytical and communication skills
• Ability to multitask and work effectively as part of a multidisciplinary team
• Passionate and keen to make a difference to re-imagine the future of HealthTech

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