Scientific Data Processing Associate
vor 4 Wochen
Job Title: Data Analyst Researcher at Humboldt-Universität zu Berlin
Overview:
We are seeking a motivated individual to join our Databases and Information Systems team, specializing in the analysis and processing of extensive scientific datasets.
Key Responsibilities:
- Engage in research initiatives focusing on the processing and analysis of data streams.
- Develop foundational algorithms for the automated identification of queries over data streams in distributed settings.
- Implement and assess various techniques to enhance data processing capabilities.
- Collaborate with fellow researchers within the FONDA initiative and its global network.
- Contribute to the publication of research findings in prestigious journals and conferences.
- Participate in tasks aimed at academic advancement.
Qualifications:
- A strong MSc degree in computer science or a related discipline, ideally with an emphasis on data engineering.
- Proficiency in data stream processing, data mining, and the theoretical aspects of data handling.
- Experience in crafting algorithms for distributed data management.
- Robust programming capabilities.
- Familiarity with pattern recognition methodologies.
- Exceptional scientific communication and writing skills in English.
Humboldt-Universität zu Berlin is committed to fostering diversity and encourages qualified candidates from all backgrounds to consider this opportunity.
For information regarding data protection, please refer to the university's official website.
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