Leipzig University campus

Engineering

PhD – School of Embedded Composite Artificial Intelligence (SECAI) at Leipzig University

Leipzig University, Germany

Programme overview

The SECAI graduate school provides research-oriented training after the master's degree. Besides doctoral researchers it hosts Clinician Scientists who already hold a doctorate and aim for a first major publication, and integrates associated AI researchers of comparable career stages with access to all SECAI funding programmes.

Duration: Typically 3 years (preferred 'tight' three-year model; Clinician Scientists may finish in two)  |  Intake: Typically September; about ten doctoral researchers and Clinician Scientists hired per year, with job advertisements usually in spring  |  Study mode: structured doctoral programme  |  Location: Leipzig, Sachsen, Germany

What you will study

Doctoral topics range across AI, for example temporal logics for multi-agent systems, explainable AI for surgical video analysis, machine learning for molecular design and rule-based reasoning, co-supervised by two professors per doctoral researcher.

Official programme page

Application information

Entry requirements

Research training after a master's degree; positions are filled through job advertisements on the SECAI job portal, usually published in spring.

Intake: Typically September; about ten doctoral researchers and Clinician Scientists hired per year, with jo

Duration: 3 years

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