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Data scientist or machine learning

Garching bei München
Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
Data Scientist
90.000 € - 120.000 € pro Jahr
Inserat online seit: 13 Oktober
Beschreibung

Max Planck Computing and Data Facility, Garching

Type of Job

EDV & Informatics

Job offer from October 10, 2025

The Max Planck Computing and Data Facility (MPCDF), in collaboration with the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS), is looking for a Data Scientist or Machine Learning / AI expert (m/f/d) Kennziffer 07/2025 to join the AI and High-Performance Data Analytics division of MPCDF.

In this role, you will contribute to a variety of cutting-edge research projects at the interface of AI, data science, and neuroscience. Your work will contribute to developing advanced methods for:

* High-precision image segmentation and ultra-high resolution MR image reconstruction
* Modeling complex brain dynamics to better understand human cognition
* Handling and analyzing large, high-dimensional imaging datasets, including working with limited sample sizes and advanced learning paradigms

In addition, you will serve as a key contact person for researchers at the MPI-CBS, supporting them in efficiently leveraging the high-performance computing (HPC) infrastructure at MPCDF to accelerate their research.


Your qualifications

* A PhD in Physics, Applied Mathematics, Computer Science, or a related discipline
* Hands-on experience working with large HPC systems, including tools for remote access, job scheduling, and performance profiling
* Proven experience in handling large-scale, multi-dimensional datasets
* Strong background in prototyping and optimizing ML/AI workflows
* Deep understanding of machine learning algorithms and modern deep learning fundamentals
* Excellent programming skills in Python and PyTorch
* Practical experience with transformer architectures and deploying and fine tuning of Large Language Models (LLMs)
* Excellent communication skills, a collaborative spirit, and the ability to work across disciplines
* Curiosity, adaptability, and a passion for deep-diving into complex technical challenges and existing codebases


Bonus points for

* Experience with agent-based AI workflows
* Knowledge of containerization technologies (e.g., Docker, Singularity, Apptainer) and software deployment
* Familiarity with Linux system administration and web-based service development
* Hands-on experience in Deep Reinforcement Learning (DRL)


Our offer

* The opportunity to work at the cutting edge of AI, data science, and high-performance computing
* Close collaboration with leading domain scientists at the MPI-CBS and international research partners
* Access to world-class HPC and AI infrastructure for developing and training next-generation AI models
* Opportunities to present your work at conferences and publish in high-impact journals
* A stimulating, interdisciplinary environment within the Max Planck Society, one of the world's most prestigious scientific organizations
* A workplace that values creativity, curiosity, and continuous learning

The full-time position starts as soon as possible and is initially limited for a maximum period of three years. Salary will be based on experience according to the German TVöD.

For further questions, please contact Dr. Andreas Marek.

Please apply with a letter of motivation and a CV online by 10th November 2025.

The ideals of mutual respect, open-mindedness and consideration are important to us. We have a diverse workforce from different countries and cultures at the MPCDF. We aim to increase the proportion of women in IT and therefore encourage qualified women to apply. In order to cultivate teamwork and a positive working atmosphere, equal opportunities and equal treatment play an important role for all aspects of personal identity, such as gender, sexual orientation, country of origin, nationality, language skills, race, religion, culture, appearance, family status, age, or handicap. Persons with disabilities will be given preferential consideration if equally qualified.

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