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.

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

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

Umeå universitet, Teknisk-naturvetenskaplig fakultet

Umeå universitet satsar på kreativa miljöer för studier och arbete. Hos oss finns attraktiva utbildningar, världsledande forskning och utmärkta innovations- och samverkansmöjligheter. Fler än 4 300 medarbetare och 31 500 studenter har redan valt Umeå universitet. Välj oss du också.

The Department of Computing Science at Umeå University (http://www.cs.umu.se) is seeking outstanding candidates for post-doctoral researcher positions in cloud computing and distributed systems.

The last date for application is 2016-10-31.

For more information and application:
https://umu.mynetworkglobal.com/en/what:job/jobID:114174/