Assistant Professor in Computer Science spec. in Systems for Data Analysis
KTH Royal Institute of Technology, EECS
Monday, 10 June, 2019 - 00:00
Subject field: Computer Science with specialization in Systems for Data Analysis
Subject description: The subject comprises analysis, design, and implementation of systems, in particular data storage systems intended for analysis of large data sets.
Duties: The position involves the build-up of own research and supervision of Ph.D. students within the subject field. Participation in teaching in the first and/or second cycle where relevant courses occur in the whole area of the department of Computer Science, especially including courses in Database Systems and Computer Systems. The assistant professor will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements (see Chapter 4, Section 12 a of the Higher Education Ordinance). Following application, the assistant professor can apply for promotion to associate professor in accordance with Chapter 4, Section 12 c of the Higher Education Ordinance.
More information at www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:246300/where:4
Research Associate in the area of Data Life Cycle Management Methods
Deutsches Klimarechenzentrum GmbH (DKRZ)
Tuesday, 11 June, 2019 - 00:00
DKRZ invites applications for a Research Associate (m,f,d) within the research theme „High-Performance Computing and Data-Intensive Science“ of the excellence cluster CLICCS „Climate, Climate Change and Society“. CLICCS is an ambitious research program at Universität Hamburg and its partner institutions. Funded by the German Research Foundation (DFG), it is part of Germany’s Excellence Strategy. The program aims to understand climate changes, taking into account internal variability, extreme events, and unexpected side effects, addressing the natural and social spheres as well as their interactions.
A focus of CLICCS is on research and development to meet the challenges arising from increasing computational requirements of climate research on the one hand, and bottlenecks limiting the efficiently scalable exploitation of high-performance computing on the other hand. A top-level objective in this respect is the conceptual improvement as well as development and application oriented evaluation of innovative methods in the area of Data Life Cycle Management Methods. The activity contributes to a “cross-disciplinary lab”, where CLICCS computer and data scientists collaborate with climate scientists and model developers.
More information at https://www.dkrz.de/about/stellenangebote/CLICCS_DataLifeCycle_2019-05_de