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source

Forschungszentrum Jülich

Funded PhD in AI and Satellite-Based Air Quality Modelling Forschungszentrum Jülich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

Forschungszentrum Jülich

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Keywords

Computer Science
Data Science
Environmental Science
Artificial Intelligence
Atmospheric Science
Earth Science
Earth Observation
Statistics
Machine learning

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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

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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