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Call for graduate course in Machine Learning or/and Artificial Intelligence

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Call for graduate course in Machine Learning or/and Artificial Intelligence

SeSE is a Swedish initiative for PhD level education in the field of e-Science. SeSE was founded and is supported by the Swedish e-Science Research Centre (SeRC) and the Swedish e-Science Collaboration (eSSENCE). SeSE offers education in the form of academic courses for PhD students in fields where the use of e-Science is emerging and also e-Science education for students in fields which are already computing-intensive.

The graduate school has identified large interest in the area of Artificial Intelligence and Machine Learning and is calling for developing, or offering an already existing, advanced level course in format of the school in the Autumn term of 2019 or in the following year of 2020.  

Course format

  • The course material should correspond, but is not strictly limited, to an equivalent of 3 hp (högskolepoäng) at University PhD level.
  • Typical format of a course at the graduate school consists of
    • one week of preparatory work e.g., literature studies, carried out at the university where the student is enrolled (home university)
    • one week on campus with lectures and exercises (where the course is offered)
    • one week of work after the course is completed, typically project work and examination

For more details on the activities organized by the graduate school, mission and organization, please visit the SeSE web page at http://sese.nu/

You expression of interest application should contain a brief overview of the course topics, target audience, name and affiliation of the teacher(s) and a 2-page CV of the course responsible teacher.

You can submit your express your interest by emailing the SeSE coordination team before 30.09.2019. Please contact us if you need more information.

Contact information:

Pavlin Mitev, Director and administration
e-mail: pmitev@kemi.uu.se

Arvind Kumar, Vice director and coordinator
e-mail: arvkumar@kth.se

SeSE-course-call-ML_AI.pdf

Postdoc/researcher position in the area of privacy-preserving federated machine learning

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We are always interested in getting in touch with excellent candidates that want to do research in the group. Contact Andreas Hellander (andreas.hellander@it.uu.se) to discuss opportunities.

Open positions

We currently have an opening for a 2 year postdoc/researcher position in the area of privacy-preserving federated machine learning. If your PhD degree was in <3 years from the application end date, you should apply for the postdoc version of the ad:

http://www.uu.se/en/about-uu/join-us/details/?positionId=257859 

If your degree is older than 3 years, apply instead for the researcher position:

http://www.uu.se/en/about-uu/join-us/details/?positionId=270287

We are always happy to assist motivated candidates to apply for their own funding/scholarships to join the lab! Here are some annually occurring opportunities:

eSSENCE Multiscale Modelling Meeting, 3-5 June 2019 in Uppsala

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– with “Physics-based and data-driven modelling” as a cross-cutting theme.
 
Website:  https://sites.google.com/site/emultiscale2019/home 
Venue:   The Ångström Laboratory of Uppsala University
Time:     3-5 June 2019, lunch-to-lunch
 
Multiscale modelling (coupling & linking of models) is a central theme in molecular and materials modelling of complex systems, and it is also a central theme of this meeting. Furthermore, this is the 2nd international EMMC-eSSENCE meeting with the sub-theme of physics-based & data-driven modelling.  How can physics-based insight and data-driven analysis  best work together (or at least how can they complement each other)? Will the reliability, accuracy and validity of our modelling results improve when data-driven approaches are mixed in with physics-based simulation techniques?
 
Registration is open! The deadline for registration and abstracts submission is 15th of May 2019.  Abstracts on the general theme of multiscale modelling (we use the term in a broad sense) and on the data-driven &. physics-based models theme are equally welcome! It is of course also perfectly fine to participate without a presentation – there will be many opportunities to participate in discussions. The meeting is free of charge.
 
Very welcome to come and participate and discuss new trends in modelling!
Kersti Hermansson, Peter Broqvist
 
Kemi-Ångström

PASC18 Call for Submissions

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The PASC18 Organizing Team is pleased to announce that submissions are now open for minisymposium, paper and poster contributions. We look forward to receiving your submissions through the online submission portal. Please note that the November 26th deadline for minisymposia proposals is rapidly approaching!  

CONFERENCE

PASC18 is the fifth edition of the PASC Conference series, an international platform for the exchange of competences in scientific computing and computational science, with a strong focus on methods, tools, algorithms, application challenges, and novel techniques and usage of high performance computing. 

The theme of PASC18 is Fast and Big Data, Fast and Big Computation, emphasizing our vision of the close coupling of data and computation. Exposing and expressing massive and irregular parallelism in computational problems are key challenges for exploiting the massive and heterogeneous parallelism available in current, and expected in future, HPC systems, as well as to find new ways of generating scientific insight from data and models. Through its rich and interactive program, PASC18 aims to highlight the computational approaches that computational scientists, computer scientists, and practitioners employ today and will employ over the next decades to address these challenges. 

CONTRIBUTIONS

PASC18 welcomes submissions for minisymposium, paper, and poster contributions that demonstrate innovative research in scientific computing related to the following scientific domains:

  • Chemistry and Materials
  • Life Sciences
  • Physics 
  • Climate and Weather
  • Solid Earth Dynamics 
  • Engineering
  • Computer Science and Applied Mathematics
  • Emerging Applications Domains (e.g. Social Sciences, Finance,…)

 Upcoming Submission Deadlines

  • Minisymposia: November 26, 2017
  • Papers: January 19, 2018
  • Posters: February 4, 2018

 
Minisymposia
A minisymposium at PASC18 is a two-hour session of four presentations on a topic of current importance in computational science that showcases research related to domain science, applied mathematics, computer science or software engineering. Proposals should describe research that is of significant current interest to a given PASC scientific domain, and ideally, have potential application to additional domains. Proposals should include speakers from multiple institutions and/or countries, and be designed such that the speakers bring a range of different perspectives to the topic. PASC18 encourages gender balance and diversity. 

Papers
The goal of the PASC papers program is to advance the quality of interdisciplinary exchange between the various specific fields of computational science and engineering. We welcome high-quality contributions of original research related to scientific computing in any of the eight PASC scientific domains. Papers will be evaluated by domain experts primarily on their significance, technical soundness, originality, and quality of communication. Papers accepted for PASC18 will be presented as talks, and published in the Proceedings of the PASC Conference, accessible via the ACM Digital Library. A selection of the highest quality papers may be given the opportunity of a plenary presentation. In selecting papers for plenary presentation, the Scientific Reviewing Committee will place particular weight on impact, interdisciplinarity and interest to a broad audience.  

Following the conference, authors will have the opportunity to further develop their PASC papers for publication in a relevant, computationally focused, domain-specific journal. Authors thus stand to benefit from the rapid and broad dissemination of results afforded by the conference venue and associated published proceedings, as well as the impact associated with publication in a high-quality scientific journal. 

Posters
Poster presentations provide an ideal opportunity for the exchange of ideas and expertise within and between the various computational science domains represented at the conference. Poster submissions should describe topical research related to domain science, applied mathematics, computer science or software engineering. Poster presenters will be given the possibility to “pitch” their posters to the conference audience in a rapid-fire flash session, and posters with the most stimulating content will be recognized in an award ceremony on the final day of the conference.  

Submission guidelines: pasc18.pasc-conference.org/submission/submissions-portal/

Papers, Minisymposia, and Posters Program Chairs
Sabine Roller (University of Siegen, Germany) 
Jack Wells (Oak Ridge National Laboratory, US) 

Postdocs or researchers to work in the interdisciplinary research project Hierarchical Analysis of Temporal and Spatial Data (HASTE)

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We are recruiting up to three postdocs or researchers to work in the interdisciplinary research project Hierarchical Analysis of Temporal and Spatial Data (HASTE),
see http://haste.research.it.uu.se, within the research groups of Prof. Carolina Wählby,
see http://www.cb.uu.se/~carolina/, Assoc. Prof. Andreas Hellander,
see http://hellanderlab.research.it.uu.se and Assoc. Prof. Ola Spjuth,
see http://www.farmbio.uu.se/forskning/researchgroups/pb.

Research project: You will join a recently started project that will run for 5 years and which is funded by the Swedish Foundation for Strategic Research (SSF). This interdisciplinary project aims at developing new, intelligent ways of processing and managing very large amounts of microscopy images in order to be able 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 and maintained information hierarchies, and to prioritize data acquisition and analysis to certain regions/sections of data based on automatically obtained metrics for usefulness and interestingness. To arrive at such smart systems for scientific discovery in image data, we will pursue a range of topics such as efficient data mining in image data, machine learning models with quantifiable confidence that learn an objects interestingness, and development of intelligent and efficient cloud systems capable of mapping data and compute to a variety of cloud computing and data storage e-infrastructure based on the quality and interestingness of the data. Project partners are at the Department of Information Technology, Uppsala University, Department of Pharmaceutical Biosciences, Uppsala University, Vironova AB and AstraZeneca AB.

We are currently seeking to fill three roles in the project. More information about the specific projects can be found on the project webpage:

  • Detection of informative data from large-scale spatial and temporal experiments (with placement in the Wählby lab)
  • Smart systems for creation and maintenance of information hierarchies in multi-cloud environments (with placement in the Hellander Lab)
  • Machine-learning with quantifiable confidence or probability (with placement in the Spjuth lab)

We welcome applications no later that 2017-05-23. All applications must be submitted via the online recruitment portal. See http://haste.reserach.it.uu.se/recruitment for more information.

Researcher Position in Scientific Computing/Systems Biology

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Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion.

The Department of Information Technology conducts research and education in a spectrum of areas within Computer Science and Information Technology. The research is organized in five Divisions, and the research at the Division of Scientific Computing has a broad scope, ranging from numerical analysis over software development and high-performance computing to collaborative projects in Computational Science and Engineering and industrial applications.

The researcher will work in an research project funded by eSSENCE, a strategic collaborative research programme in e-science between three Swedish universities with a strong tradition of excellent e-science research: Uppsala University, Lund University and Umeå University. e-science promotes innovation in collaborative, computationally or data intensive research across all disciplines. In Uppsala, a number of projects are supported by the programme. Most of them are in computer simulation and data science in biology, chemistry, and physics. More information about eSSENCE is found at the homepage http://essenceofescience.se/.

The project, described below, will be conducted as part of a collaboration between the the research groups headed by associate professor Andreas Hellander, Uppsala University, see http://hellanderlab.research.it.uu.se, and associate professor Igor Adameyko, Karolinska Institute, see http://ki.se/en/fyfa/developmental-biology-and-regenerative-medicine.

Read more… 

Two former eSSENCE PIs receive Big data grants from SSF

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Congratulations to Sven Nelander and Carolina Wählby!

Sven Nelander and Carolina Wählby from Uppsala University receive 30 MSEK and 29 MSEK, respectively, from the Swedish Foundation for Strategic Research for projects in big data and scientific computing, see http://stratresearch.se/pressmeddelande/200-miljoner-till-big-data-och-berakningsvetenskap/ Both Sven and Carolina have been PIs in projects funded by eSSENCE, see http://essenceofescience.se/cancer-landscapes-an-interactive-global-map-of-regulation-in-human-cancer/ and http://essenceofescience.se/large-scale-analysis-of-live-cells/ In Carolina’s project, Ola Spjuth and Andreas Hellander will participate. Both Ola and Andreas have been supported by eSSENCE, see http://essenceofescience.se/predictive-modeling-in-drug-discovery/ and http://essenceofescience.se/development-of-escience-methods-for-drug-discovery/

 

Two researcher positions in e-science

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Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion.

eSSENCE is a strategic collaborative research programme in e-science between three Swedish universities with a strong tradition of excellent e-science research: Uppsala University, Lund University and Umeå University. e-science promotes innovation in collaborative, computationally or data intensive research across all disciplines. In Uppsala, a number of projects are supported by the programme. Most of them are in computer simulation and data science in biology, chemistry, and physics. More information about eSSENCE is found at the homepage http://essenceofescience.se/

eSSENCE is seeking two outstanding candidates at the researcher level for e-science projects in electromagnetics and sociology using techniques in scientific computing and statistical physics.

http://www.uu.se/en/about-uu/join-us/details/?positionId=134648

Two postdoc positions in e-science

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Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion.

eSSENCE is a strategic collaborative research programme in e-science between three Swedish universities with a strong tradition of excellent e-science research: Uppsala University, Lund University and Umeå University. e-science promotes innovation in collaborative, computationally or data intensive research across all disciplines. In Uppsala, a number of projects are supported by the programme. Most of them are in computer simulation and data science in biology, chemistry, and physics. More information about eSSENCE is found at the homepage http://essenceofescience.se/ . eSSENCE is seeking two outstanding candidates at the postdoctoral level for e-science projects in systems biology and text recognition using techniques in scientific computing and machine learning.

http://www.uu.se/en/about-uu/join-us/details/?positionId=133965

New postdoc and researcher positions at Uppsala University

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Six new postdoc and researcher positions are funded by eSSENCE in Uppsala in 2017-2018. The projects and the principal investigators are

The first project is data driven and a collaboration between Uppsala and Lund Universities. In the second project, machine learning will be used for semi-automatic interpretation of handwritten material in collaboration with the University Library. Computational methods will be applied to problems in developmental biology in the third project in a collaboration with Karolinska Institute. The Departments of Cell and Molecular Biology and Information Technology work together to improve functional network models in the fourth project. The multipole method will be implemeted on parallel computers in an industrial collaboration in the fifth project, Methods from statistical physics will be applied to electoral data from Stockholm city in the last project. New partnerships and new applications for eSSENCE are found in all projects.