Please refer to JobSuchmaschine in your application
EPFL and ETH Zurich are seeking enthusiastic and experienced candidates with a proven track record in software engineering and product innovation on large-scale distributed platforms, services and applicationsto staff up their upcoming national R&D center for data science.
In this role, you will be contributing to the design and development of the center’s Insights-as-a-Service platform, a hosted one-stop-shop for accessing, exchanging and exploring possibly anonymized data at scale, and for building and deploying data science workflows.
Specifically, you will:
Candidates are expected to possess deep hands-on experience with systems for large-scale distributed data processing. The ideal candidate has extensive background in Big Data technologies (minimally, Kafka, Hadoop, Spark), and with building applications at scale.
The Swiss Data Science Center(SDSC, datascience.ch ) is a national center between EPFL and ETH Zurich, whose mission is to accelerate the use of data science and machine learning techniques broadly within academic disciplines of the ETH Domain and the Swiss academic community at large. It aims to federate data providers, data and computer scientists, and subject-matter experts around a cutting-edge analytics platform offering domain-specific “Insights-as-a-Service” while addressing security and privacy issues inherent to the field of data science. The SDSC will be composed of a large multi-disciplinary team of data & computer scientists and experts in relevant domains, distributed between our offices in Lausanne and Zurich. The unique synergy that the center will enable among the institutions of the ETH Domain and between academic and industrial stakeholders in both data science and across carefully selected domains is expected to foster scientific breakthroughs with significant societal impact.
Activity rate: Full-time or part-time
Start date: To be discussed
Procedure for applications:
Candidates should submit their application online at https://datascience.ch/job-openings/
For further information, please contact Dr. Olivier Verscheure ( email@example.com)