Postdoctoral Scientist

ETH Zurich is one of the world’s leading universities specializing in
science and technology. It is renowned for its excellent education, its
cutting-edge fundamental research and its efforts to put new knowledge
and innovations directly into practice. We invite applications for a
Postdoctoral Scientist position at the Institute for Atmospheric and
Climate Science.

Postdoctoral Scientist (2-year position, 100%)

Long-term weather predictions on weekly to monthly timescales are
crucial for a wide range of sectors. While short-term weather prediction
on time scales of several days is well established, methods for gaining
predictability on weekly to monthly timescales are often more
experimental and it remains unclear which methods might be the most
valuable in dealing with long-term weather predictions. In particular,
forecast skill over Europe decreases considerably after about a week,
such that weather predictions beyond 2 weeks often exhibit little skill.
Despite the limited skill of forecasts beyond this horizon, they are
important for a range of applications, e.g. for crop planning, disaster
readiness, and renewable energy. It is, therefore, necessary to better
understand variability on these timescales and, with the advancement of
machine learning algorithms and computational power, it is timely to use
these methods to work on improving forecasts.

We are looking for a candidate for a 2-year Postdoctoral scientist
position in the group of D. Domeisen at the Institute for Atmospheric
and Climate Science at ETH Zurich. The project will address the
predictability of the stratosphere on sub-seasonal to seasonal
timescales, teleconnections, and the downward impacts of the
stratosphere using machine learning (ML) methods. The aim is to advance
our understanding of the classification, mechanisms, and predictability
of stratospheric events and their surface impact. The Postdoctoral
scientist will collaborate closely with the Swiss Data Science Center
(SDSC) and the Department of Computer Science at ETH Zurich.

The candidate is expected to have a Ph.D. in atmospheric science or a
related field, with a strong background in atmospheric dynamics, paired
with a keen interest to develop their skills and knowledge of data
science methods; excellent coding skills are essential. The candidate
should speak English fluently and have excellent communication and
interpersonal skills. The candidate will be expected to be highly
motivated to build a strong relationship, and to be able to work
independently, with the SDSC.

We look forward to receiving your online application by June 15
including the following documents: CV, publication list, degree
certificates, and names and contact information of two references.
Please note that we exclusively accept applications submitted through
our online application portal. Applications via email or postal services
will not be considered.

For further information about the Institute for Atmospheric and Climate
Science, please visit our website: www.iac.ethz.ch
<http://www.iac.ethz.ch>. For information about the research group visit
www.iac.ethz.ch/group/atmospheric-predictability
<http://www.iac.ethz.ch/group/atmospheric-predictability>. For
information about SDSC visit www.datascience.ch
<http://www.datascience.ch>. Questions regarding the position should be
directed to Prof. Daniela Domeisen by email at
daniela.domeisen@env.ethz.ch <mailto:daniela.domeisen@env.ethz.ch> (no
applications).

More details and the online application can be found here:
<https://apply.refline.ch/845721/7109/pub/1/index.html>
Deadline: June 15, 2019

To apply for this job please visit apply.refline.ch.