Germany is a leading destination for AI and machine learning postdoctoral openings in Europe. PhD holders can find strong research opportunities at top universities, Helmholtz centers, Max Planck institutes, AI excellence hubs, and medical research organizations. These roles span artificial intelligence, machine learning, NLP, computer vision, foundation models, scientific AI, and healthcare AI.
This curated list includes only live and verified postdoctoral openings in Germany. Each position matches AI, machine learning, or a closely related research field. Fixed deadlines are listed clearly. Roles with ongoing applications are marked as rolling or open until filled. This helps researchers review the best opportunities quickly and apply before positions close.
Fixed-Deadline Openings
Research Associate IV-98/26 — AI Agents for Earth Observation
Organization: Technische Universität Berlin / BIFOLD
Location: Berlin, Germany
Level: Postdoctoral Researcher / Research Associate
Key Areas: Generative AI, multimodal AI, AI agents, LLMs, vision-language models, Earth observation
Minimum Qualification: PhD in computer science, AI, machine learning, or related field
Closing Date: 17 April 2026
How to Apply URL: https://www.jobs.tu-berlin.de/en/job-postings/202210?filter%5Bworktype_tub%5D%5B%5D=wiss-mlehr&filter%5Bworktype_tub%5D%5B%5D=wiss-olehr
Short Summary: This role is well suited to postdoctoral researchers working in multimodal AI, agentic systems, and foundation models. It focuses on AI-driven analysis and orchestration for large-scale Earth observation workflows.
Nachwuchsgruppenleiter*in (Postdoc) — Statistical Learning
Organization: Freie Universität Berlin / MATH+ Berlin Mathematics Research Center
Location: Berlin, Germany
Level: Early Career Researcher Position / Junior Research Group Leader
Key Areas: Statistical learning, machine learning, probabilistic models, reinforcement learning, data science
Minimum Qualification: PhD plus postdoctoral research experience
Closing Date: 23 March 2026
How to Apply URL: https://jobs.berlin-university-alliance.de/en/job-offers/202656
Short Summary: This is a strong opportunity for advanced postdocs ready to move toward independent research leadership. It is particularly relevant for candidates in theoretical ML, probabilistic learning, and reinforcement learning.
Postdoctoral Researcher (f/m/x) in AI and Neurodegeneration
Organization: German Center for Neurodegenerative Diseases (DZNE)
Location: Magdeburg, Germany
Level: Postdoctoral Researcher
Key Areas: AI, medical imaging, deep learning, Bayesian inference, multimodal modeling, representation learning
Minimum Qualification: PhD in machine learning, computational neuroscience, biomedical data science, physics, applied mathematics, or related field
Closing Date: 30 April 2026
How to Apply URL: https://jobs.dzne.de/en/p/helmholz/jobs/101474/postdoctoral-researcher-fmx-in-ai-and-neurodegeneration-406720263
Short Summary: This opening is ideal for researchers in healthcare AI, medical imaging, and multimodal disease modeling. It combines advanced machine learning with clinically relevant neurodegeneration research.
Postdoctoral Researcher in Machine Learning Potentials
Organization: Ruhr-Universität Bochum / Research Alliance Ruhr
Location: Bochum, Germany
Level: Postdoctoral Researcher
Key Areas: Machine learning interatomic potentials, scientific machine learning, simulation, computational chemistry
Minimum Qualification: PhD in chemistry, physics, materials science, or related field
Closing Date: 5 April 2026
How to Apply URL: https://jobs.ruhr-uni-bochum.de/jobposting/5252273676f8ea637208d92b713ee0a0440579ca
Short Summary: This position is a strong fit for candidates applying AI and ML to chemistry, materials, and simulation research. It is particularly relevant for scientific machine learning and atomistic modeling experts.
Postdoctoral Researcher — Quantum Algorithms for Drug Discovery
Organization: Forschungszentrum Jülich
Location: Jülich, Germany
Level: Postdoctoral Researcher
Key Areas: Quantum algorithms, machine learning, optimization, computational drug discovery
Minimum Qualification: PhD in physics, computer science, mathematics, or comparable field
Closing Date: 1 April 2026
How to Apply URL: https://www.fz-juelich.de/en/careers/jobs/2026-054?apply=
Short Summary: This role suits technically strong researchers working in optimization, machine learning, and advanced computational methods. It is a good interdisciplinary match for AI-driven scientific discovery in drug research.
Rolling and Open-Until-Filled Openings
Postdoc — Molecular Machine Learning with Foundation Models
Organization: Forschungszentrum Jülich
Location: Jülich, Germany
Level: Postdoctoral Researcher
Key Areas: Foundation models, molecular machine learning, protein design, small-molecule prediction, HPC AI
Minimum Qualification: PhD in biochemistry, chemistry, or related molecular science with relevant ML exposure
Closing Date: Open until filled / Rolling
How to Apply URL: https://www.fz-juelich.de/en/careers/jobs/2025-022?apply=
Short Summary: This is one of the strongest direct-fit openings for researchers in AI, bioinformatics, molecular modeling, and foundation models. It focuses on frontier molecular ML for protein and small-molecule applications.
Postdoc / Research Software Engineer — Real-Time Live-Cell Image Analytics and Experimental Control
Organization: Forschungszentrum Jülich
Location: Jülich, Germany
Level: Postdoctoral Researcher / Research Software Engineer
Key Areas: Computer vision, deep learning, live-cell microscopy, Python, PyTorch, AI-enabled experimental control
Minimum Qualification: PhD or equivalent research background
Closing Date: Open until filled / Rolling
Official Source URL: https://www.fz-juelich.de/en/careers/jobs/2025-381
How to Apply URL: https://www.fz-juelich.de/en/careers/jobs/2025-381?apply=
Short Summary: This role is highly relevant for candidates in computer vision, biomedical imaging, and intelligent lab automation. It combines real-time image analytics with autonomous experimental workflows.
Scientist / Postdoc — Smart Vision-Based Control of Microbial Arenas
Organization: Forschungszentrum Jülich
Location: Jülich, Germany
Level: Scientist / Postdoc
Key Areas: Computer vision, machine learning, microscopy, closed-loop control, AI for biotechnology
Minimum Qualification: PhD-level suitability in a relevant discipline
Closing Date: Open until filled / Rolling
Official Source URL: https://www.fz-juelich.de/en/careers/jobs/2026-003
How to Apply URL: https://www.fz-juelich.de/en/careers/jobs/2026-003?apply=
Short Summary: A strong interdisciplinary opening for postdocs interested in vision-based control systems and AI-driven microscopy. It is particularly suited to researchers working across ML, imaging, and autonomous science.
9) Several Open Post-Doc Positions — AI for Scientific Discovery in Physics
Organization: University of Tübingen / Cluster of Excellence “Machine Learning”
Location: Tübingen, Germany
Level: Postdoctoral Researcher
Key Areas: AI for science, LLM tool use, scientific discovery, optimization, physics-informed AI
Minimum Qualification: Doctorate in physics, computer science, or related field
Closing Date: Open until filled / Rolling
How to Apply URL: https://uni-tuebingen.de/en/research/core-research/cluster-of-excellence-machine-learning/home/open-positions/
Short Summary: This opening is suitable for postdocs exploring AI for scientific workflows, optimization, and discovery in physics. It offers strong relevance for researchers combining ML with high-impact scientific problems.
10) PhD and PostDoc Positions in Machine Learning
Organization: Technical University of Munich (TUM), Data Analytics and Machine Learning Group
Location: Munich, Germany
Level: Postdoctoral Researcher
Key Areas: Trustworthy ML, Bayesian deep learning, out-of-distribution detection, efficient ML, sequence modeling
Minimum Qualification: PhD in the corresponding area and strong research record
Closing Date: Rolling / continuous recruitment
How to Apply URL: https://www.cs.cit.tum.de/daml/offene-stellen/hiring/
Short Summary: This is an excellent option for strong ML researchers seeking work in robustness, uncertainty, efficient learning, and trustworthy AI. The group continues to recruit postdocs on an ongoing basis.
Postdoctoral Researcher — Machine Learning Group
Organization: Technische Universität Berlin / Machine Learning Group
Location: Berlin, Germany
Level: Postdoctoral Researcher
Key Areas: Machine learning, deep learning, PyTorch, TensorFlow, JAX, data-centric AI
Minimum Qualification: PhD in computer science, physics, or related field
Closing Date: Rolling / continuous recruitment
Official Source URL: https://www.ml.tu-berlin.de/jobs/
How to Apply URL: https://www.ml.tu-berlin.de/jobs/
Short Summary: A broad and credible ML postdoctoral option in Berlin for researchers with strong technical depth. It is well suited to candidates seeking a flexible entry point into a leading AI ecosystem.
Postdoctoral Researcher — Broad Areas of Machine Learning
Organization: CISPA Helmholtz Center for Information Security
Location: Saarbrücken / St. Ingbert, Germany
Level: Postdoctoral Researcher
Key Areas: Machine learning, data science, robust AI, decision-focused ML, generalizable AI
Minimum Qualification: Doctoral degree in a relevant field
Closing Date: Open until filled / Rolling
Official Source URL: https://career.cispa.de/postdocs
How to Apply URL: https://career.cispa.de/postdocs
Short Summary: This is a solid option for postdocs in core machine learning and data science. It is especially attractive for researchers interested in rigorous, high-impact work within a leading German research center.
Postdoctoral Researcher — Trustworthy AI and AI Security
Organization: CISPA Helmholtz Center for Information Security
Location: Saarbrücken / St. Ingbert, Germany
Level: Postdoctoral Researcher
Key Areas: Trustworthy AI, AI security, robust ML, responsible AI
Minimum Qualification: Doctoral degree in a relevant field
Closing Date: Open until filled / Rolling
Official Source URL: https://career.cispa.de/postdocs
How to Apply URL: https://career.cispa.de/postdocs
Short Summary: This opening is highly relevant for candidates focused on secure, robust, and trustworthy AI systems. It is a strong fit for researchers at the intersection of ML reliability and AI security.
Postdoctoral Research Fellow at the UKP Lab
Organization: Technical University of Darmstadt / UKP Lab
Location: Darmstadt, Germany
Level: Postdoctoral Research Fellow
Key Areas: NLP, LLMs, AI safety, LLM security, privacy, human-AI collaboration
Minimum Qualification: PhD in NLP, machine learning, computer science, or related discipline
Closing Date: Open until filled / Rolling
Official Source URL: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2025_postdoc_ukp.en.jsp
How to Apply URL: https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment
Short Summary: This is one of the strongest NLP and LLM postdoctoral opportunities in Germany. It is particularly suitable for researchers in language technologies, AI safety, model privacy, and human-centered NLP.
Postdoc / Doctoral Researcher — ATHENE HAICC: Human-AI Collaboration for Cybersecurity
Organization: Technical University of Darmstadt / ATHENE partners
Location: Darmstadt, Germany
Level: Postdoctoral Researcher
Key Areas: LLMs, AI agents, multimodal AI, explainable AI, cybersecurity AI, human-AI interaction
Minimum Qualification: PhD for postdoc track
Closing Date: Open until filled / Rolling
Official Source URL: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2025_haicc_postdoc_phd.en.jsp
How to Apply URL: https://careers.ukp.informatik.tu-darmstadt.de/
Short Summary: This interdisciplinary opening is a strong match for postdocs in LLMs, agent systems, multimodal AI, and cybersecurity. It is especially relevant for researchers interested in collaborative and explainable AI.
Postdoc / PhD — Agentic Large Language Models for Education
Organization: Technical University of Darmstadt / UKP Lab
Location: Darmstadt, Germany
Level: Postdoctoral Researcher
Key Areas: Agentic LLMs, NLP, reasoning, planning, human-AI collaboration
Minimum Qualification: Doctorate for postdoc track
Closing Date: Open until filled / Rolling
Official Source URL: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2025_phd_agenticllms.en.jsp
How to Apply URL: https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment
Short Summary: A strong opportunity for researchers working on agentic LLM systems, reasoning, planning, and interactive AI platforms. It is especially suitable for those interested in next-generation applied NLP.
Postdoc / PhD — NLP and Machine Learning, Machine-Generated Text Detection
Organization: Technical University of Darmstadt / UKP Lab
Location: Darmstadt, Germany
Level: Postdoctoral Researcher
Key Areas: NLP, machine learning, LLM detection, trustworthy AI, AI safety
Minimum Qualification: Doctorate for postdoc track
Closing Date: Open until filled / Rolling
Official Source URL: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2025_phd_ukp.en.jsp
How to Apply URL: https://careers.ukp.informatik.tu-darmstadt.de/ukprecruitment
Short Summary: This opening is well aligned with candidates focused on trustworthy NLP, LLM-generated text detection, and AI integrity. It provides a strong research platform for language-based safety and evaluation work.
Postdoc — Neural Modeling, Capture and Rendering, 3D/4D Reconstruction, Geometric Deep Learning
Organization: Max Planck Institute for Informatics
Location: Saarbrücken, Germany
Level: Postdoctoral Researcher
Key Areas: Computer vision, neural rendering, geometric deep learning, reconstruction, visual AI
Minimum Qualification: Outstanding PhD in computer science or related area
Closing Date: Open until filled / Rolling
Official Source URL: https://www.mpi-inf.mpg.de/fileadmin/inf/d6/Openings/Postdoc_Neural_Modeling.pdf
How to Apply URL: https://www.mpi-inf.mpg.de/fileadmin/inf/d6/Openings/Postdoc_Neural_Modeling.pdf
Short Summary: This is a high-end fit for researchers in computer vision, neural scene modeling, geometric deep learning, and visual computing. It is particularly attractive for candidates aiming at frontier research depth.
Postdoc — Virtual Human Modeling and Animation
Organization: Max Planck Institute for Informatics
Location: Saarbrücken, Germany
Level: Postdoctoral Researcher
Key Areas: Virtual humans, reinforcement learning, animation synthesis, computer vision, AI for graphics
Minimum Qualification: Outstanding PhD in computer science or related area
Closing Date: Open until filled / Rolling
How to Apply URL: https://www.mpi-inf.mpg.de/fileadmin/inf/d6/Openings/Postdoc_Animation.pdf
Short Summary: This role is well suited to postdocs working in vision, graphics, RL, human motion, and AI-driven character modeling. It offers strong interdisciplinary relevance across vision and generative visual systems.
Postdocs — ML and AI Applied to Physics / Artificial Scientific Discovery
Organization: Max Planck Institute for the Science of Light
Location: Erlangen, Germany
Level: Postdoctoral Researcher
Key Areas: Machine learning, AI for physics, scientific discovery, neuromorphic computing
Minimum Qualification: Postdoc-level suitability in a relevant area
Closing Date: Rolling / currently accepting applications
How to Apply URL: https://mpl.mpg.de/divisions/marquardt-division/job-opportunities
Short Summary: This is a strong interdisciplinary opportunity for candidates using AI and ML in scientific discovery. It is particularly attractive for researchers interested in the interface of physics, computation, and intelligent systems.
Researcher in Foundation Models with a Focus on Agent Systems / Multi-Agent Systems
Organization: Lamarr Institute / University of Bonn
Location: Bonn, Germany
Level: Postdoc-eligible Researcher
Key Areas: Foundation models, multi-agent systems, planning, reasoning, synthetic data, PyTorch
Minimum Qualification: PhD for postdoc track
Closing Date: Open until filled / Rolling
How to Apply URL: https://lamarr-institute.org/wp-content/uploads/Stellenausschreibung_Agentensysteme_EN_2026_02_06.pdf
Short Summary: This role is an excellent match for researchers in agentic AI, reasoning-capable foundation models, and multi-agent system design. It is especially relevant for postdocs targeting next-generation AI architectures.
Researcher in Multimodal Latent Reasoning Architectures
Organization: Lamarr Institute / University of Bonn
Location: Bonn, Germany
Level: Postdoc-eligible Researcher
Key Areas: Multimodal AI, latent reasoning, knowledge graphs, world models, efficient inference
Minimum Qualification: PhD for postdoc track
Closing Date: Open until filled / Rolling
How to Apply URL: https://lamarr-institute.org/wp-content/uploads/Stellenausschreibung_Latent_Reasoning_2026_02_06.pdf
Short Summary: This is a highly relevant opening for candidates working in multimodal reasoning, structured representation learning, and advanced inference architectures. It is a strong fit for foundation-model-oriented postdocs.
Researcher in Multimodal Foundation Models and World Models
Organization: Lamarr Institute / University of Bonn
Location: Bonn, Germany
Level: Postdoc-eligible Researcher
Key Areas: Multimodal foundation models, world models, perception-reasoning integration, contextual AI
Minimum Qualification: PhD for postdoc track
Closing Date: Open until filled / Rolling
How to Apply URL: https://lamarr-institute.org/wp-content/uploads/Stellenausschreibung_Multimodal_FMs_World_Models_2026_02_06.pdf
Short Summary: This opening is especially suitable for postdocs focused on multimodal foundation models, embodied reasoning, and world-model-driven AI systems. It aligns well with researchers pursuing advanced multimodal intelligence.
Senior Postdoctoral Researcher in Computational Psychology / Human-Centered AI
Organization: Lamarr Institute / University of Bonn
Location: Bonn, Germany
Level: Senior Postdoctoral Researcher
Key Areas: Human-centered AI, LLMs, NLP, AI safety, computational social science, HCI
Minimum Qualification: Doctoral degree in psychology, cognitive science, HCI, computational social science, or related area
Closing Date: Open until filled / Rolling
How to Apply URL: https://lamarr-institute.org/wp-content/uploads/Job_Position-ERC_Flek_LLMpathy.pdf
Short Summary: This is a distinctive postdoctoral role for candidates working on human-centered AI, LLM-based social simulation, and computational behavior research. It is particularly valuable for interdisciplinary scholars bridging AI and human sciences.
Research Scientist (PhD or Postdoc) in AI for Physics
Organization: Lamarr Institute / University of Bonn
Location: Bonn, Germany
Level: Research Scientist / Postdoc
Key Areas: AI for physics, foundation models, representation learning, robustness, uncertainty, scientific AI agents
Minimum Qualification: PhD for postdoctoral track
Closing Date: Open until filled / Rolling
How to Apply URL: https://lamarr-institute.org/wp-content/uploads/Postitions_PhDs_and_Postdocs_AI_in_Physics_Flek.pdf
Short Summary: This position is a strong match for researchers applying AI to scientific workflows, physical systems, uncertainty, and robust modeling. It offers an interdisciplinary path for postdocs combining ML with scientific discovery.
Best-Match Roles for AI, ML, NLP, LLM, and Multimodal Researchers
If your background is strongest in core AI, machine learning, natural language processing, LLMs, computer vision, multimodal systems, or trustworthy AI, the most aligned opportunities in this list are likely to be:
- TU Berlin / BIFOLD — AI Agents for Earth Observation
- DZNE — AI and Neurodegeneration
- Forschungszentrum Jülich — Molecular Machine Learning with Foundation Models
- TUM — Data Analytics and Machine Learning Group
- TU Darmstadt / UKP Lab — Postdoctoral Research Fellow
- CISPA — Trustworthy AI and AI Security
- Max Planck Institute for Informatics — Geometric Deep Learning and Neural Modeling
- Lamarr Institute — Foundation Models, Agent Systems, and Multimodal Reasoning
Conclusion
Germany continues to offer high-quality postdoctoral opportunities for researchers working in artificial intelligence, machine learning, natural language processing, computer vision, scientific AI, healthcare AI, and multimodal systems. The strongest openings tend to move quickly, especially those with rolling review or open-until-filled status.
Candidates should review each official posting carefully, align their research statement with the host group’s focus, and submit applications as early as possible. For fixed-deadline roles, it is advisable to prepare and apply well before the closing date.