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A research group at the Department of Information Technology, Uppsala Universtity.

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PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Posted on May 11, 2022May 11, 2022 By Salman Toor No Comments on PhD student in Scientific Computing focusing on Secure Federated Machine Learning
PhD student in Scientific Computing focusing on Secure Federated Machine Learning

Project Description Artificial intelligence (AI) is at the core of modern-day applications. With the advent of massive datasets, the last two decades were dedicated to improve the mathematical modeling and training processes; And recently the focus has shifted towards security, privacy and trust based AI assisted solutions. Together with a number of other viable solutions,…

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Data Science, Data-Intensive Computing, Federated Learning, FedML, News, Open Positions

Open PhD position in Scientific Computing

Posted on May 3, 2022May 3, 2022 By Salman Toor No Comments on Open PhD position in Scientific Computing
Open PhD position in Scientific Computing

We have one open PhD position focusing on Cybersecurity and Machine Learning for Critical Infrastructures Application submission deadline: May 16, 2022 The application submission link is available on the following page: https://www.uu.se/en/about-uu/join-us/details/?positionId=501061 This PhD position is part of the eSSENCE – SciLifeLab graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, Open Positions

Two Open PhD Positions

Posted on March 4, 2022April 2, 2022 By Prashant Singh No Comments on Two Open PhD Positions
Two Open PhD Positions

We welcome applications for 2 PhD positions in the group. This is an exciting opportunity to join us at SciLifeLab and the Division of Scientific Computing, UU to conduct highly interdisciplinary research in machine learning, computational science and systems biology. Please refer to the detailed advertisements below. Statistical Sampling/Active Learning for Large-Scale Scientific Experiments Machine…

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Data Science, News, Open Positions, systems biology

Proactive Autoscaling for Edge Computing Systems with Kubernetes

Posted on December 21, 2021December 21, 2021 By Salman Toor No Comments on Proactive Autoscaling for Edge Computing Systems with Kubernetes
Proactive Autoscaling for Edge Computing Systems with Kubernetes

Happy to announce our newly accepted article: Accepted at the 14th IEEE/ACM International Conference on Utility and Cloud Computing UCC 2021. Abstract With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and performance. However, existing autoscaling tools for edge computing…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, HASTE, News, Software

“Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science

Posted on December 2, 2017December 2, 2017 By admin No Comments on “Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science
“Ten simple rules” for establishing a national scale OpenStack cloud e-infrastructure for science

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…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, OpenStack

Hierarchical Analysis of Spatial and Temporal Data

Posted on May 30, 2017February 6, 2019 By admin No Comments on Hierarchical Analysis of Spatial and Temporal Data
Hierarchical Analysis of Spatial and Temporal Data

The HASTE project, a SSF-funded project on computational science and big data, takes a holistic approach to new, intelligent ways of processing and managing very large amounts of microscopy images to leverage the imminent explosion of image data from modern experimental setups in the biosciences. One central idea is to represent datasets as intelligently formed…

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Data Science, Data-Intensive Computing, ReserachSlider

Postdoc in Scientific Computing/Applied Cloud Computing

Posted on July 1, 2016July 1, 2016 By admin No Comments on Postdoc in Scientific Computing/Applied Cloud Computing

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…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News, Open Positions

Göran Gustafsson prize

Posted on March 14, 2016 By admin No Comments on Göran Gustafsson prize

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…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, News

Open Posititions: up to two PhD students

Posted on January 19, 2016March 14, 2016 By admin No Comments on Open Posititions: up to two PhD students

(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…

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Applied Cloud Computing, Data Science, Data-Intensive Computing, Open Positions, Software, StochSS

Data-and simulation-driven life science. Much of our work in eScience and applied ML has applications in life science, and in Systems Biology in particular. We aim to enable data-and simulation-driven scientific discovery.

HASTE - a cloud native framework for intelligent processing of image streams: http://haste.research.it.uu.se/

Follow us on twitter

Andreas HellanderFollow

Andreas Hellander
Retweet on TwitterAndreas Hellander Retweeted
SciLifeLab_DCSciLifeLab_DataCentre@SciLifeLab_DC·
3 Nov

Join our great team at @SciLifeLab_DC!

We are now looking for IT-ansvarig SciLifeLab
👉Apply by Dec 12th.
👉More & apply here: https://www.kth.se/om/work-at-kth/lediga-jobb/what:job/jobID:546469/where:4/
👉More about @SciLifeLab_DC here: https://scilifelab.se/data

@scilifelab @KTHuniversity

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A_HellanderAndreas Hellander@A_Hellander·
25 Oct

Starting in 30mins :-)

Prashant Singh@prashant_rsingh

Join us tomorrow for an exciting seminar by @uPicchini on “guided sequential ABC schemes for intractable Bayesian models”. The seminar starts at 13.15 until 14.00 CEST in Room 101127, Ångströmlaboratoriet, Uppsala University & online: https://uu-se.zoom.us/j/65354024469. Warmly welcome!

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

eSSENCE, SERC and Chalmers e-science Centre are providing core e-science education to PhD students from the SeSE platform: https://sese.nu/

Researchers - get funding to develop and give a PhD course!
@uppsalauni @lunduniversity @umeauniversitet

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

Day two of the Swedish eScience Academy organized by eSSENCE.

Interesting to learn from Sverker Holmgren of Chalmers eCommons about the holistic approach to infrastructure and support for data centric research at Chalmers!

@UmeaUniversity @UU_University @lunduniversity

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A_HellanderAndreas Hellander@A_Hellander·
6 Oct

So great to be at the Swedish e-science Academy organized by #essenceofescience! Two days of scientific exchange between colleagues nationally, and in particular from the partner universities @UU_University @UmeaUniversity @lunduniversity.

Keynote day one by Kersti Hermansson.

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Decentralized AI, Federated Learning. One focus area of the group is development of methods and software to address decentralized and privacy-preserving AI. We are core contributors to the FEDn open source framework for scalable federated machine learning:

https://github.com/scaleoutsystems/fedn
Introduction to Federated Learning by Andreas Hellander
Join the discussion on Decentralized AI:

Scaleout Systems is a spin-out from ISCL on a mission to enable decentralized AI and federated learning to production.

https://www.scaleoutsystems.com/

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