Student for Assistance in Research in AI-Driven Dementia Diagnosis (m/w/d)

· Our research, funded by the German Federal Ministry of Education and Research (BMBF), focuses on developing and deploying a cloud-based, AI-driven algorithm for neurodegenerative disease diagnosis. This project aims to create cutting-edge tools that facilitate the accurate diagnosis of dementia using multimodal data such as MRI and PET imaging. · The ultimate goal is to transition this research into a market-ready solution for clinical use. · Role Overview : As a Student Assistant, you will work closely with a PostDoc leading this research to provide valuable support across various stages of the project. Your tasks will include: · Data Management and Preprocessing: You assist with organizing and preprocessing imaging (MRI, PET) and tabular data for model training. In addition to that, you support data annotation, cleaning, and quality control efforts. · AI/ML Model Development : You contribute to the development and fine-tuning of machine learning models, including neural networks (e.g., 3D-CNNs) and transformers, under the supervision of a PostDoc. Furthermore you assist in the implementation of statistical and machine learning methods for dementia prediction. · Technical Documentation and Literature Review: You help in maintaining clear and thorough documentation of all code, data processing steps, and experimental results. Besides you conduct literature reviews to support the scientific basis of the research and suggest potential improvements. · Cloud-Based Platform Support : You assist in the integration and testing of the AI model on the AWS cloud platform as well as help troubleshoot cloud-based deployment issues under the guidance of senior researchers. · Pilot Study Support: You provide aid in preparing and coordinating datasets and technical tools required for a clinical pilot study involving dementia patients and healthy controls.