Team Leader “Applied Computer Vision Lab”

Kennziffer: 2025-0206

• Heidelberg
• Full-time
• Medical Image Computing

„Forschen für ein Leben ohne Krebs“ – das ist unsere Aufgabe am Deutschen Krebsforschungszentrum. Wir erforschen, wie Krebs entsteht, erfassen Krebsrisikofaktoren und suchen nach neuen Strategien, die verhindern, dass Menschen an Krebs erkranken. Wir entwickeln neue Methoden, mit denen Tumore präziser diagnostiziert und Krebspatient:innen erfolgreicher behandelt werden können. Jeder Beitrag zählt – ob in der Forschung, in der Administration oder der Infrastruktur. Das macht unsere tägliche Arbeit so bedeutungsvoll und spannend.

The German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) in Heidelberg is Germany’s largest biomedical research institution. As a core partner in Helmholtz Imaging (HI), DKFZ is committed to advancing imaging science and technology across all scales, modalities, and scientific domains. Within this context, the Applied Computer Vision Lab serves as a cornerstone support unit, accelerating imaging-based research through cutting-edge, customized image analysis solutions.

We are seeking for the next possible date a dynamic and experienced individual for the position of

The team plays a critical role in empowering scientists across Helmholtz and beyond by developing tailored AI solutions, providing out-of-the-box algorithms for cross-domain application, and advancing evaluation practices through benchmark design and metric development.

Ihre Aufgaben: 

The successful candidate will lead a dedicated support and research team at the interface of applied computer vision and biomedical research. Responsibilities include:

• Managing and mentoring a multidisciplinary team of machine learning and image analysis experts
• Supporting research groups across the Helmholtz Association in the development and deployment of customized image analysis pipelines 
• Overseeing the design and implementation of algorithmic solutions, from prototyping to deployment
• Supporting the reproducibility and robustness of image analysis through benchmark design, metric development, and challenge organization
• Developing and maintaining open-source tools for image analysis and benchmarking
• Fostering close collaborations with scientific groups, platform partners (e.g., DESY, MDC), and core facilities
• Promoting open science, software sustainability, and knowledge sharing

The team lead will work closely with HIP and DKFZ leadership to shape strategy, identify emerging challenges in biomedical imaging, and ensure the alignment of lab activities with institutional goals.

Ihr Profil:

We are looking for a highly motivated and solution-oriented professional with a strong technical background and leadership experience. The ideal candidate will have:

• A master's degree and PhD in computer science, physics, maths or a related discipline
• A doctoral thesis with a focus on fundamental or applied machine learning
• Several years of experience in applied machine learning and/or computer vision
• Proven expertise in developing AI-based and classical image analysis algorithms
• Proven experience in the development of open-source frameworks
• A strong track record in validation of medical imaging methods
• A solid track record in leading projects or teams, with excellent communication and coordination skills
• Experience in interdisciplinary collaboration
• Familiarity with software development best practices and open-source tool ecosystems

Prior experience in annotation management and international experience would be favorable.

The position offers you:

• A leadership role within a dynamic, highly collaborative scientific environment
• The opportunity to work at the forefront of AI, contributing to real-world research challenges
• Close integration with leading imaging and machine learning initiatives through HI
• Access to cutting-edge infrastructure and computing resources
• An international workplace in one of Europe’s leading research hubs

Application:

Please submit a single PDF file including a cover letter addressed to Prof. Klaus Maier-Hein (Head Medical Image Computing, DKFZ and Helmholtz Imaging Center Coordinator) and Prof. Lena Maier-Hein (Head Intelligent Medical Systems, DKFZ and Helmholtz Imaging Center Coordinator), your curriculum vitae, list of publications or relevant project contributions, and contact details for at least two references.

Unser Angebot:

Sie sind interessiert?

 ​Befristung: Die Stelle ist zunächst auf 2 Jahre befristet. Eine Verlängerung ist möglich.

Bewerbungsschluss: 15.08.2025

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Hinweis: Wir unterliegen den Vorschriften des Infektionsschutzgesetzes (IfSG). Deshalb müssen alle unsere Beschäftigten einen Immunitätsnachweis gegen Masern vorlegen.

 

 

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