WWRP/WCRP S2S AI competition - looking for IT expert in python, git and Jupyter notebooks

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Hello everyone,
I’m Chiara from France, I have been informed of a job opportunity that may be of interest to this community. So I’m posting it here, perhaps it could make someone happy… :slight_smile:

The World Weather Research Programme (WWRP) and Word Climate Research
Programme (WCRP), in the framework of their joint Subseasonal to
Seasonal Prediction project (S2S) (http://s2sprediction.net) are planning to organize
a competition to stimulate Artificial Intelligence (AI)/Machine Learning (ML)/Deep
Learning (DL) approaches to improve the forecast skill at the
subseasonal to seasonal time scale and to promote the use of their S2S
database.

To that effect we are looking for a contractor to set up and implement
the competition platform on the Renkulab facility (https://renkulab.io)
hosted by the Swiss Data Science Center at ETH
Zürich and EPFL. The estimated total time for completion of the work
effort of 45 days would be spread over a 10 months period with possible
start on 1 March 2021. We expect about 50% of the workload to focus on
the first 3 months. Pay band will depend on experience according to WMO
rules.

Skills :

  1. IT Expertise in python, Jupyter notebooks, git, continuous
    integration pipelines and automation and general software
    development and documentation

  2. Experience with web technologies for creation and hosting of dynamic
    web sites

  3. Familiarity with weather and climate predictions data formats
    (GRIB2, NetCDF, etc) would be an advantage

  4. Experience using collaborative cloud-based computational
    environments, like renkulab, would be an advantage

  5. Background in weather/climate science and knowledge of Artificial
    Intelligence/Machine Learning methods would be an advantage

  6. Additionally, the ability to work with an international team and
    with contributing partners and synthesize requirements for the
    competition is also considered as important.
    Duties :

  7. Develop backbone python, git and Jupyter notebook software for the
    competition to support the automated ingestion of S2S AI forecasts
    provided by external parties on the selected platform, evaluation,
    quantitative and graphical verification and intercomparison of those
    products against agreed benchmarks and metrics (months M01-M03)

  8. Prepare a comprehensive documentation of the software platform, data
    format specification, process for data submission, timelines (month
    M03)

  9. Timely IT/Help-desk support to competitors, software support and
    updates as necessary, and overall monitoring throughout the active
    phase of the competition (months M04-M10)

  10. General work arrangements: home-based, monthly teleconferences
    organized by the incumbent with S2S Co-chairs, the S2S task team and
    WCRP and WWRP Secretariat contacts to refine the initial work plan
    and requirements, regular reporting, validation of competition
    For Expressions of Interest, please kindly send your detailed CV, a
    motivation letter as well as 3 reference names to Dr Wenchao Cao
    (e-mail: wcao at wmo dot int), preferably by 20 January 2021.

Feel free to forward to interested contacts and within your networks.