Research Associate (m/f/d) at Else Kröner Fresenius-Zentrum

Research Associate (m/f/d) in the field of Efficient AI for Computational Pathology

at Else Kröner Fresenius-Zentrum

The position is available from November 1st, 2026, full-time and initially limited to 24 months, with the possibility of extension and longer-term collaboration.

Remuneration is based on the provisions of the collective agreement for the public service of the German federal states (TV-L) and, subject to the relevant personal qualifications, may be classified at pay grade E13.

The position is part of the research project “MedSecureAI – Certifiable Chip Platform for Secure AI Accelerator Integration in Image-Based Medical Detection.” The project is part of the SEMECO Future Cluster and combines research in medical AI, digital pathology, edge computing, and trustworthy hardware platforms.

The aim of the project is to develop and validate a modular, secure, and resource-efficient platform for AI-assisted medical image analysis.

In the medical use case, AI models for digital pathology will initially be trained on high-performance GPU infrastructure and subsequently optimized for local execution at the microscope on resource-constrained edge hardware.

A demonstrator will enable direct and explainable analysis of histological image data at the microscope.

The successful candidate will work in an interdisciplinary and international research environment in the research group of Marco Gustav, PhD, at the Else Kröner Fresenius Center for Digital Health at TU Dresden, and will collaborate closely with academic institutions and industry partners.

The group develops practical AI solutions for challenges in clinical care.

A particular focus is on efficient, locally deployable AI methods for pathology and their clinically relevant application.

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