Graduate School
The in-depth research-oriented training after the master's degree is a central activity area of SECAI. Due to the special, interdisciplinary orientation of the school, there are not only doctoral students but also so-called clinician scientists, who have already completed a doctoral thesis and whose goal in SECAI is a (first) major publication.
In addition to the PhD students and clinician scientists directly funded by SECAI, other AI researchers of comparable career stages will be integrated into the School. These associate members will be closely integrated scientifically and organizationally and will have access to all SECAI funding programs. In addition, SECAI networks with other thematically relevant graduate programs and implements joint activities.
Doctoral Students and Clinical Scientists

Topic: Explaining Composite AI: From Formal Analysis to Overall Understanding

Topic: Spinnaker Cloud Computing for Computer-aided Drug Discovery

Topic: Neuromorphic Information Processing: Hardware Realization of the Modified Stochastic Synaptic Model

Topic: 2D-Material-Based Synapses for Neuromorphic Computing

Topic: MemAI: Memristive Dynamic Models for Smart AI Systems

Topic: Intuitive Modelling support for Knowledge-Based Systems

Topic: AI in Oncology

Topic: Surg-Morph: Neuromorphic Surgical Video Processing on the SpiNNaker2 Platform


Topic: Spinnaker Cloud Computing for Computer-aided Drug Discovery


Topic: Sim2Real: Simulated Training and Test Data for Biomedical Image Analysis

Topic: GetInTouch – Prediction of Hand Gestures for Intuitive Human-Machine Interaction