SECAI unterstützt Offenheit in der Forschung und wir freuen uns regelmäßig neue Mitglieder in unseren Teams begrüßen zu können. Diese Seite enthält Vorschläge für aktuell verfügbare Forschungsthemen, geordnet nach Forschungsschwerpunkt, jeweils mit Mentor:in und Standort. Hier kann man stöbern und die Themen entdecken, die am besten den eigenen Interessen und Fähigkeiten entsprechen.
Verfügbare Stellen in der SECAI Graduate School werden jeweils auf der Seite für Stellenausschreibungen angekündigt. Doch auch wenn gerade keine Stelle ausgeschrieben ist, lohnt sich oft die direkte Abfrage bei den Mentor:innen der Wunschthemen. In unseren Forschungsgruppen gibt es regelmäßig viele spannende KI-Projekte und SECAI unterstützt auch affiliierte Forscher:innen, die aus anderen Quellen finanziert werden.
Composite AI
AI Controlled Wireless Mesh Networks for Medical Applications in Crisis Situations (AWESOME)
Mentored by Frank Fitzek & Stefanie SpeidelLocation: Deutsche Telekom Chair for Communication Networks, National Center for Tumor Diseases Dresden/TU Dresden
External Systems Biology Knowledge Integration in Large Language Models
Mentored by Jens Lehmann & Ivo SbalzariniLocation: TU Dresden/Informatics
AI Compute Paradigms
GeoSOP: Geometry for surgical outcome prediction
Mentored by Stefanie Speidel & Guido MontufarLocation: National Center for Tumor Diseases (NCT), UKD Dresden and Max Planck Institute for Mathematics in the Sciences, Leipzig
RelAiMed: Explainable AI for reliable computer assisted surgery
Mentored by Ronald Tetzlaff, Stefanie SpeidelLocation: Chair of Fundamentals of Electrical Engineering (Institute of Circuits and Systems), TU Dresden and Chair of Translational Surgical Oncology (National Center for Tumor Diseases Dresden), UKD/TU Dresden
Intelligent Medical Devices
Adaptive / Context Sensitive Data Provision in Mobile Applications
Mentored by Prof. Jochen Hampe (Clinic PI), Dr. Karsten Wendt (Technical PI)Location: Chair of Software Technology, Andreas-Pfitzmann-Bau, TU Dresden and secondary at: Clinic 1 / EKFZ for Digital Health, UKD
Artificial Intelligence in the Context of Biomedical Signals
Mentored by Jochen Hampe & Jakob KatherLocation: EKFZ for Digital Health Dresden, TUD and UKD Dresden
Reinforcement Learning for Mechanical Ventilation
Mentored by Jens Lehmann, Jakob Nikolas Kather, Sahar Vahdati, Jakob WittensteinLocation: TU Dresden
RelAiMed: Explainable AI for reliable computer assisted surgery
Mentored by Ronald Tetzlaff, Stefanie SpeidelLocation: Chair of Fundamentals of Electrical Engineering (Institute of Circuits and Systems), TU Dresden and Chair of Translational Surgical Oncology (National Center for Tumor Diseases Dresden), UKD/TU Dresden
AI Methods for Health
Adaptive / Context Sensitive Data Provision in Mobile Applications
Mentored by Prof. Jochen Hampe (Clinic PI), Dr. Karsten Wendt (Technical PI)Location: Chair of Software Technology, Andreas-Pfitzmann-Bau, TU Dresden and secondary at: Clinic 1 / EKFZ for Digital Health, UKD
AI Controlled Wireless Mesh Networks for Medical Applications in Crisis Situations (AWESOME)
Mentored by Frank Fitzek & Stefanie SpeidelLocation: Deutsche Telekom Chair for Communication Networks, National Center for Tumor Diseases Dresden/TU Dresden
Artificial Intelligence in the Context of Biomedical Signals
Mentored by Jochen Hampe & Jakob KatherLocation: EKFZ for Digital Health Dresden, TUD and UKD Dresden
External Systems Biology Knowledge Integration in Large Language Models
Mentored by Jens Lehmann & Ivo SbalzariniLocation: TU Dresden/Informatics
From protein structure prediction to explainable AI in Oncology
Mentored by Jakob Nikolas Kather & Jens MeilerLocation: Else Kroener Fresenius Center for Digital Health, Technical University Dresden and Institute of Drug Discovery, Leipzig University
GeoSOP: Geometry for surgical outcome prediction
Mentored by Stefanie Speidel & Guido MontufarLocation: National Center for Tumor Diseases (NCT), UKD Dresden and Max Planck Institute for Mathematics in the Sciences, Leipzig
Personalization in oncology – Prediction of cancer therapy effectiveness from Omics data through structural modeling and AI
Mentored by Kristin Reiche & Jens MeilerLocation: ScaDS.AI, Fraunhofer IZI and Institute of Drug Discovery, Leipzig University
RelAiMed: Explainable AI for reliable computer assisted surgery
Mentored by Ronald Tetzlaff, Stefanie SpeidelLocation: Chair of Fundamentals of Electrical Engineering (Institute of Circuits and Systems), TU Dresden and Chair of Translational Surgical Oncology (National Center for Tumor Diseases Dresden), UKD/TU Dresden
StochasticAI – Integrating Stochastic Modeling with AI
Mentored by Sayan Mukerhjee & Ivo SbalzariniLocation: TU Dresden or Leipzig University (please indicate preference)