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