Forschungszentrum Jülich
1 month ago
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Funded PhD in AI and Satellite-Based Air Quality Modelling Forschungszentrum Jülich in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
75% funded PhD position at Forschungszentrum Jülich. The post also mentions structured doctoral training, networking, career development, and access to world-class HPC infrastructure through HDS-LEE.
Country
Germany
University
Forschungszentrum Jülich

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About this position
New funded PhD opportunity in the HDS-LEE Graduate School (Helmholtz School for Data Science in Life, Earth and Energy) for candidates interested in machine learning, artificial intelligence, data science, environmental science, atmospheric science, and air quality modelling.
The project is based at Forschungszentrum Jülich in collaboration with RWTH Aachen University. The research focuses on developing machine learning methods to improve satellite-based air quality monitoring and emission inventories using satellite observations. This is an interdisciplinary doctoral project at the interface of AI and atmospheric science.
Funding: the post advertises a 75% funded PhD position, plus access to world-class HPC infrastructure, structured doctoral training, networking, and career development through HDS-LEE.
Eligibility highlights: applicants should be motivated by AI/ML and environmental research. The post does not list detailed formal requirements such as degree level, grades, or language tests.
Application: use the linked application page to apply and check the HDS-LEE open positions page for more details and additional funded PhD opportunities.
Funding details
75% funded PhD position at Forschungszentrum Jülich. The post also mentions structured doctoral training, networking, career development, and access to world-class HPC infrastructure through HDS-LEE.
What's required
Applicants should be passionate about AI, machine learning, and environmental research. The project is interdisciplinary and centered on satellite-based air quality modelling, so relevant quantitative, computational, or environmental science background is implied. No specific degree, GPA, or language-test requirements are stated in the post.
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