Jobs - positions and candidates

Seeking to fill a position? Or looking for a position?

Please enter your information in this Google:
https://docs.google.com/document/d/1-_mMyi8dA9JI3xJQoNDrmf65TSFOvBfeqLcC...

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CI 2018 panel discussions

Please add your notes on the panels at CI2018 here:
https://docs.google.com/document/d/1YaO3414tx4hOyhjGOXo12TlbFNCi-DHpTJZC...

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Google - Making it easier to discover datasets

Google announced today a new search engine specific for data sets.
See the announcement here: https://www.blog.google/products/search/making-it-easier-discover-datasets/

Open position: Tenure Track Group Leader in Data Science for Water Research

Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). For more information and to apply: https://apply.refline.ch/673277/0634/pub/1/index.html

CI 2018 - DEADLINE EXTENDED to July 7!

CI 2018 - The 8th International Workshop on Climate Informatics

Submission deadline EXTENDED! New deadline: July 7, 2018.

Where: NCAR Mesa Lab in Boulder, CO
When: Sept 20-21, 2018.
Hackathon event planned on Sept 19.

Official website: https://www2.cisl.ucar.edu/events/workshops/climate-informatics/2018/home

This year's organizing committee:

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CI 2017 Proceedings are now available!

The proceedings of the 7th International Workshop on Climate Informatics are now available!
http://dx.doi.org/10.5065/D6222SH7

How to cite these proceedings:
V. Lyubchich, N.C. Oza, A. Rhines, E. Szekely (Eds.), I. Ebert-Uphoff, C. Monteleoni, D. Nychka (Series Eds.), Proceedings of the 7th International Workshop on Climate Informatics: CI 2017. NCAR Technical Note NCAR/TN-536+PROC, Sept 2017, doi: 10.5065/D6222SH7.

Recent workshop: Big Data and the Earth Sciences - Grand Challenges

Below are reports and videos from a RECENT workshop highly relevant to this community:
Big Data and the Earth Sciences: Grand Challenges Workshop
May 31 - June 2, 2017 @ UC San Diego

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New book - Large-Scale Machine Learning in the Earth Sciences

Large-Scale Machine Learning in the Earth Sciences (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Editors: Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser
Short description:
Compilation of recent research in machine learning applied to earth sciences. 9 chapters, each written by experts in the field.

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IAMG2018

19th Annual Conference of the International Association for Mathematical Geosciences (IAMG2018)
(50th anniversary of the Association)

4-8 September 2018, Olomouc, Czech Republic
http://www.iamg2018.org/

Research Fellowship in Computer Vision for Palaeoceanography - UK

Research Fellowship in Computer Vision for Palaeoceanography, U. Southampton, UK
Location: National Oceanography Centre Southampton
Closing Date: Thursday 19 October 2017
Interview Date: Tuesday 07 November 2017

For more information and to apply, go to https://jobs.soton.ac.uk/Vacancy.aspx?ref=890017HN-R

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