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About the Role
Join our team and contribute to exciting research projects in areas such as numerical analysis, modeling, visualization, data analysis, artificial intelligence, scientific information, optimization, computer science, distributed algorithms, and supercomputing.
Responsibilities
- Support research projects in various scientific domains.
- Contribute to numerical analysis and modeling.
- Engage in visualization and data analysis.
- Work with artificial intelligence applications.
- Contribute to scientific information initiatives.
- Participate in optimization projects.
- Involve in computer science research.
- Work on distributed algorithms.
- Contribute to supercomputing efforts.
Requirements
- Enthusiasm for research and science.
- Knowledge in specific subject or research areas.
- Programming skills and willingness to develop them further.
- Team spirit, creativity, and motivation to face new challenges.
- Willingness to work on-site at ZIB regularly.
Skills
- Numerical Analysis
- Modeling
- Visualization
- Data Analysis
- Artificial Intelligence
- Scientific Information
- Optimization
- Computer Science
- Distributed Algorithms
- Supercomputing
- Programming
Location
- Berlin
- On-site at ZIB
Work Type
- Hybrid
- Part-time
Salary/Compensations
- Based on Berlin state minimum wage (currently €14.84 per hour) + capital city allowance.
Benefits
- Flexible hours (41-80 hours/month).
- Combination with Master's or thesis work possible.
- Work in an international, inspiring environment.
- Diverse opportunities for professional and personal development.
About the Company
- The Zuse Institute Berlin is an interdisciplinary research institute for applied mathematics and data-intensive high-performance computing.
- Research focuses on modeling, simulation, and optimization in collaboration with scientific partners from academia and industry.
Equal Opportunity
- Applications from women are explicitly encouraged due to underrepresentation in natural sciences and IT.
- The institute aims to increase the proportion of women in these fields.
- We value diversity and welcome applications from individuals with diverse backgrounds, including migration history, sexual and gender identity, social, ethnic, and religious affiliations, as well as physical and mental abilities.