The SNIC Science Cloud (SSC) team has published a paper in the 2017 conference on IEEE eScience. SNIC Science cloud has been an infrastructure project run by the Swedish National Infrastructure for Computing (SNIC) with the purpose to assess if and how SNIC should offer cloud infrastructure to the scientific community. The project is now coming to an end, and the SSC OpenStack resources will become a part of the SNIC production infrastructure landscape. In the paper, we summarize the experiences gained in the project and provide recommendations in the form of “ten simple rules” for how to successfully establish a science cloud community cloud infrastructure on a national scale. Read the paper here:
We are looking for a talented individual to join our efforts on creating smart and scalable cloud services to support simulation-driven scientific discovery via large-scale computational experiments such as parameter sweeps. This is a classic and very important problem that we will approach in new ways, leveraging recent advances in cloud computing, data-intensive computing and machine learning. See the full advertisement here (Deadline Sept. 1):
The successful candidate will contribute to the interdisciplinary research group Distributed Computing Applications (DCA) at the Department of Information Technology, Uppsala University.
We are very happy to welcome Fredrik Wrede, MSc. in Bioinformatics, to the group. Fredrik was accepted as a PhD student in CIM, the Center for Interdisciplinary Mathematics. His project will center around intelligent cloud services for processing and making sense of massive amounts of data, for example generated by large computational experiments in systems biology such as parameter sweeps. The project is an interdisciplinary collaboration with the Spjuth lab on data-intensive and translational bioinformatics.
Last week brought some great news. I am awarded the Göran Gustafsson Prize 2016 from the Gustafsson Foundation (KTH/UU). In the proposed project titled Smart Services for Scientific Discovery we will look into new and more productive ways to combine simulation software and cloud computing infrastructure to build intelligent applications for e.g. exploring an underlying model’s essential behavior.
(Call for applications is closed. )
We are expanding the group with up to two PhD students in the areas of Applied Mathematics and Applied Cloud Computing:
- CIM, the Center for Interdisciplinary Mathematics are hiring students. We are, in collaboration with the Spjuth lab offering the project, Smart and Efficient Scientific Software for Exploration of Vast Amounts of Time Series Data. Follow the instructions here: Apply Online. Clearly state that you are applying to the above project. Deadline: Feb 14
- We are hiring one student in the area of Applied Cloud Computing, to work in the project Smart Cloud Services for Computationally-Driven Scientific Discovery. Please follow the instructions here: Apply Online. Deadline is Feb 28, 2016.
Interested candidates are welcome to contact me for more information.