Ulf Leser
2 years ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Foundations of Workflows for large-scale scientific data analysis Humboldt Universität Berlin in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded positions
Deadline
Expired
Country
Germany
University
Humboldt-Universität zu Berlin

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Suggested positions
Keywords
Computer Science
Data Science
Biomedical Engineering
Materials Science
Image Processing
Software Engineering
Earth Science
Earth Observation
Image Analysis
Distributed Systems Engineering
Data Engineering
Distributed Parameter Systems
Earth Sciences
Bioinformatics
Workflow Technology
About this position
Our Collaborative research center FONDA "Foundations of Workflows for large-scale scientific data analysis" is opening several fully funded positions for PhD students or postdocs in different fields around workflow technology, including Distributed Systems, Data Science, Data Engineering, and Software Engineering. We pursue our research in close cooperation with experts in Earth Observation, Materials Science, Bioinformatics, and Biomedical Image Analysis. Currently announced positions include- Energy-Aware Workflow Rewriting, with Ulf Leser- Federated Workflow Systems for Earth Observations, with Ulf Leser- Developing Carbon-Minimizing DAW Scheduling for Environmental Impact, with Henning Meyerhenke- Distributed Algorithms for NEtwork, IO, and Storage Steering, with Florian Schintke- Early Workflow Design,with Anna-Lena Lamprecht- Data Science and Forest Disturbance Monitoring, with Martin Herold at GFZFor details, see https://lnkd.in/ezrQ9fTn
Funding details
Fully funded positions
Ask ApplyKite AI
Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.