Data Scientist
vor 2 Wochen
Job Title: Research Associate
Job Summary:
We are seeking a highly skilled Research Associate to join our team at Humboldt-Universität zu Berlin. The successful candidate will be responsible for conducting research in the Databases and Information Systems group, as part of the collaborative research center FONDA – Foundations of Workflows for Large-Scale Scientific Data Analysis.
Key Responsibilities:
- Conduct research in data stream processing, analysis of large scientific data, and related areas.
- Develop algorithmic foundations for automated discovery of queries over data streams, especially in distributed environments.
- Implement and evaluate developed techniques.
- Collaborate with other researchers and visit other research groups within FONDA and its international network.
- Publish research results in renowned journals and the proceedings of leading international conferences.
- Take tasks for their own academic qualification.
Requirements:
- An excellent MSc degree (PhD level position) or an excellent PhD (Postdoc level position) in computer science, or related fields; ideally with a focus on data engineering.
- Knowledge in the fields of data stream processing, data mining, and formal foundations of data processing.
- Expertise in the development of algorithms for distributed data processing.
- Very good programming skills.
- Experience in methods for pattern detection.
- Excellent scientific communication and writing skills in English.
How to Apply:
Please send your application, including a motivation letter, a copy of relevant certificates, and a complete CV, referencing the job ID, preferably by email in a single PDF file to Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, Institut für Informatik, Prof. Weidlich.
Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration history are specifically encouraged to apply.
Data protection information on the processing of your personal data within the framework of the advertisement and selection procedure can be found on our website.
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