Uni Internship Jan to July 2027 - Advanced Healthcare AI in Computer Vision & Generative AI

Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. Internship@Synapxe is where curiosity meets impact! You would be able to gain practical experience, hone your skills, and be part of meaningful work that improves health through technology.

As an intern you will join the Data Science & AI team to develop Artificial Intelligence (AI) and Data Science solutions for healthcare applications. Interns will work on projects involving wearable sensor analytics, time-series signal processing, computer vision, document understanding, Generative AI, and Large Language Models (LLMs). 

Projects may involve analysing wearable sensor data, developing predictive machine learning models, exploring computer vision techniques, building OCR pipelines, evaluating multimodal AI systems, and applying Generative AI technologies to healthcare challenges. 

The selected intern(s) will assist in following:

• Perform data analysis on healthcare datasets
• Process and analyze wearable sensor and time-series data
• Develop machine learning and deep learning models for healthcare applications
• Explore Computer Vision techniques for image, video, and document analysis
• Investigate OCR, document understanding, and multimodal AI workflows
• Evaluate and benchmark machine learning, Computer Vision, and LLM models
• Conduct literature reviews on emerging AI technologies and healthcare applications
• Support model training, validation, optimization, and deployment activities
• Collaborate with clinicians, software engineers, and researchers to translate healthcare challenges into AI solutions
• Document methodologies, experiment results, and technical findings

About You:

• Undergraduate currently in Year 2 or Year 3, pursuing a degree in Business Analytics, Business Artificial Intelligence Systems, Information Systems, Computer Science, Computer Engineering, Data Science, or a related discipline
• Strong proficiency in Python programming, with solid coding fundamentals
• Basic understanding of Machine Learning and Data Science concepts, including data analysis and model evaluation
• Hands-on experience with common AI/ML libraries (e.g. NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
• Familiarity with data processing, model development, and evaluation methodologies
• Exposure to one or more specialised areas is an advantage: Computer Vision, Time-Series or Sensor Data Analytics, Signal Processing, Generative AI and Large Language Models (LLMs), OCR and Document Understanding
• Familiarity with version control tools (e.g. Git) and collaborative workflows
• Exposure to cloud platforms (e.g. AWS, Azure) is a plus
• 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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