Research Assistant: Application of AI Networks to Miniature Biomedical Imaging Systems and PPG Sensors (Part-Time, FTC) (ENG

## Explore an Exciting Research Opportunity in AI-Powered Medical Imaging This part-time Research Assistant position offers a unique chance to contribute to cutting-edge advancements in medical imaging technology. If you possess a strong computing background and a passion for AI, this role presents a compelling avenue for professional growth and impactful research. ### What This Opportunity Offers: This role is designed for individuals looking to apply their AI expertise to real-world medical challenges. You will be instrumental in developing sophisticated AI models for image reconstruction, a critical component in understanding and utilizing data from novel medical imaging devices. Key advantages for prospective candidates include: * Direct Impact on Medical Innovation: You will be at the forefront of developing AI solutions for our innovative ultra-thin fibre-based spatial frequency domain imaging (SFDI) device and our custom-built photoplethysmography (PPG) sensor. This work has the potential to significantly improve diagnostic capabilities. * Specialized AI Model Development: The position offers hands-on experience in developing and implementing AI models specifically for image reconstruction. This includes working with advanced techniques in time-series processing, such as recurrent networks and LSTMs, as well as 2D convolutional neural networks. * Strong Python and AI Focus: You will leverage your Python coding skills in a practical, research-driven environment, building and refining AI models for complex data. * Ideal for PhD Students: This part-time position (5 hours/week) is ideally suited for a PhD student seeking to integrate their academic research with practical application, gaining valuable experience and contributing to a significant project. * Career Development in a Growing Field: Experience in AI-driven medical imaging is highly sought after. This role will provide you with specialized skills and a portfolio of work that can significantly enhance your career prospects in the fields of AI, medical technology, and biomedical engineering. * Research Environment: The role is embedded within a research setting, offering opportunities for learning, collaboration, and exposure to the broader research community. ### Key Considerations for Your Application: To thrive in this role, candidates should possess the following: * Solid Computing Background: A strong foundation in computing principles is essential for understanding and developing AI models. * Experience in Time-Series Processing: Demonstrated experience with time-series data and appropriate AI models, specifically recurrent networks and LSTMs, is a key requirement. * Proficiency in 2D Convolutional Neural Networks: Expertise in developing and implementing 2D CNNs is crucial for image reconstruction tasks. * Python Programming Skills: A strong command of Python is necessary for all aspects of AI model development and data analysis. * Prior Medical Imaging Data Experience: Familiarity with handling and processing medical imaging data will be a significant advantage. This is a fixed-term part-time position, funded until March 31, 2026, with the potential for extension. If you are driven by innovation and eager to make a tangible contribution to the future of medical diagnostics, we encourage you to explore this exciting opportunity further.