Big Data PhD positions, programs, scholarships and fellowships in Germany

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22 PhD Positions Found

Ai-Driven Integration Of Heterogeneous Research Data Into Energy Systems Models

Jülich Research Center

Heterogeneous data

software interoperability

AI-driven data integration

Python programming

FAIR principles

This PhD position at Forschungszentrum Jülich involves developing AI-driven methods to integrate heterogeneous energy systems data into scalable, transparent models. The candidate will work on semantic enrichment, knowledge graph platforms, and interoperable interfaces while collaborating with energy research stakeholders. Requirements include a master’s degree in relevant fields, interest in data science and energy technologies, basic AI/data analysis skills, and English fluency.

19 Jan 2038

Phd

154

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Phd In Digital Integration And Ai For Sustainable Hydrogen Technologies

Jülich Research Center

Data Management

energy materials

deep learning

Materials Science

hydrogen technologies

PhD position focused on AI and digital integration for developing materials for hydrogen technologies. Involves advanced methodologies for materials characterization and simulation.

19 Jan 2038

Phd

140

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Research Assistant/Phd Positions In Ai And Hardware Design

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Research

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Exciting academic opportunity with competitive benefits and research funding. Full details available to signed-in users.

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Phd Positions In Ev-Wnt Signaling Research

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Phd Position In Atom-Scale Dynamics Of Electrocatalysts

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Research

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Daad Scholarships 2026

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Research

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Msca Postdoctoral Fellowships And Phd Positions In Communications Engineering

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Phd In Rare Earth Free Hard Magnetic Materials

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Phd & Postdoc In Immunology & Precision Prevention

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Daad Doctoral Research Grant

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Phd Candidate In Trustworthy Ai For Medicine

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Imprs Phd Programme In Privacy Enhancing Technologies

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Phd Position - Generative Ai For Smart Grids And Energy Systems

Jülich Research Center

Position

graph-based machine learning

physics-informed machine learning

HPC

smart grids

foundation models

This PhD position focuses on developing generative AI and foundation model approaches for smart grids and energy systems, including generating synthetic yet realistic energy datasets from operational data at the FZJ campus and Living Lab Energy Campus. The candidate will work on physics-informed and graph-based machine learning methods for monitoring, forecasting, and planning, addressing uncertainties, missing data, interoperability, privacy, and data governance, while building scalable AI workflows using HPC and federated learning infrastructures and collaborating with European TSOs and DSOs within the AI.Grids initiative.

Phd

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Phd Position - Generative Ai For Smart Grids And Energy Systems

Jülich Research Center

Position

Flexible

Salary

foundation models

Energy Systems

Generative AI

federated learning

Smart Grids

The PhD position at Forschungszentrum Jülich focuses on developing generative AI and foundation model approaches for smart grids and energy systems. The candidate will work on creating synthetic yet realistic energy datasets from real operational data, advancing physics-informed and graph-based machine learning methods for monitoring, forecasting, and planning, and addressing challenges such as uncertainty, missing data, interoperability, privacy, and data governance. The role includes collaboration with European research and industrial partners within the AI.Grids initiative, involving transmission and distribution system operators, to produce trustworthy, scalable AI solutions for modern electricity networks.

31 Aug 2026

Phd

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Mdsi Doctoral Fellowship 2026 At Technical University Of Munich

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Research

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