Student Assistant (SHK) Databases and AI in Intensive Care Medicine

We are the UKM. We have a clear societal mandate and, with the combination of patient care, research, and teaching, a special responsibility. During your activity alongside your studies in the Clinic for Anesthesiology, you will benefit from individual support, attractive framework conditions, and many opportunities to grow and contribute. Together we want to successfully start into the future – preferably with you! As part of the research project 'aICU Nephro IMF', we are looking for support in the development of database and infrastructure solutions. The goal of the project is the development of an AI-supported clinical decision system for nephroprotective measures in intensive care units. A central component is the work with the OpenICU project, which merges data from various intensive care databases and prepares it for machine learning.

• Support in the administration, maintenance, and further development of relational databases, especially PostgreSQL
• Contribution to the OpenICU data infrastructure for merging and preparing intensive care data
• Extraction, standardization, and processing of data from different sources
• Development and optimization of data pipelines for providing data for machine learning methods
• Support in the development of a graphical user interface (GUI) for visualizing results and interacting with AI models

• Valid enrollment in a relevant degree program, for example Computer Science, Medical Informatics, or Data Science
• Solid practical knowledge in working with relational database systems, especially PostgreSQL
• Basic programming skills, preferably with Python
• Interest in processing and analyzing medical data as well as machine learning
• Independent, structured, and careful way of working
• Team player and enjoyment of interdisciplinary collaboration