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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Postdoctoral Position in Atmospheric Science & Machine Learning at UNIL

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Postdoctoral Position in Atmospheric Science & Machine Learning at UNIL

Position
Postdoctoral Position in Atmospheric Science & Machine Learning at UNIL

Employer

University of Lausanne

Homepage: https://www.unil.ch/central/en/home.html


Location
Lausanne, Switzerland

Sector
Academic

Relevant divisions
Atmospheric Sciences (AS)
Earth and Space Science Informatics (ESSI)
Natural Hazards (NH)

Type
Full time

Level
Entry level

Salary
min. 73000 € / Year, CHF 80k/year

Required education
PhD

Application deadline
30 June 2021

Posted
29 May 2021

Job description

I am recruiting a Postdoctoral scholar at the University of Lausanne (in Switzerland) to investigate the genesis and intensification of tropical storms/cyclones using machine learning. The details of the position can be found at this link: https://wp.unil.ch/dawn/postdoc-position-details/. To ensure full consideration, applications should be submitted by June 30th, 2021 at this link:

https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=universitdP&navBarLevel=JOB%5fSEARCH&rcm%5fsite%5flocale=en%5fUS&site=VjItQWt5MjVDbnNGNGlkV21MMFpPZDkrdz09&career_job_req_id=17514&selected_lang=en_US&jobAlertController_jobAlertId=&jobAlertController_jobAlertName=&browserTimeZone=America/Los_Angeles&_s.crb=cgPWdy0NqExZoR2TQgXTmf23bBKN1q1brzDNW5DaESA%3d

Project Summary:

Motivated by recent success in applying machine learning tools to weather and climate modeling (see e.g. the special issue of Philos. Trans. R. Soc. A [https://royalsocietypublishing.org/toc/rsta/2021/379/2194] and our recent review [https://www.essoar.org/doi/abs/10.1002/essoar.10506925.1] on the topic), the project aims to explore the interface of tropical meteorology/dynamics and machine learning. More specifically, we see potential for improving the modeling and understanding of tropical cyclogenesis and tropical storm/cyclone intensity changes. A region of interest is the South-Western Indian Ocean as its relatively sparse observational network leaves room to assist ongoing forecasting efforts. The lab will promote close collaborations with international research partners (listed in the full job post) and potentially set up co-supervision of successful candidates depending on the chosen project and affinity.

While the primary focus is in tropical meteorology/dynamics, the lab will fully support successful candidates in formulating their own second project in the broad field of atmospheric science and machine learning with the goal of cultivating independent research skills. The flexible funding structure gives the successful candidate freedom to conduct both methods-driven (e.g. tailoring machine learning algorithms for scientific applications) and hypothesis-driven (e.g. discovering new dynamical equations and teleconnection patterns) research.

Position perks:

Annual salary of CHF80’000 for 2 years, pending satisfactory 1-year review

Fully-funded personal research equipment (laptop, desktop computer, monitor, etc.)

Fully-funded research-related travel (conferences, collaborations, etc.)

Fully-funded open-access publication costs

5 weeks of paid holidays (in addition to 1 week of national holidays)

Paid Parental leave

Access to UNIL’s high-computing facilities

International collaboration network

A friendly and cohesive culture at the Institute of Earth Surface Dynamics including 1-day Summer and Winter retreats, usually in the Alps

Access to UNIL Campus facilities (Sports center with 100+ recreational options, campus-grown food, etc.)

Additional information:

The University of Lausanne is committed to equal opportunity and stands firm against all forms of discrimination.

The Faculty of Geosciences and Environment of the University of Lausanne adheres to the DORA agreement and follows its guidelines in the evaluation of applications (in short, quality over quantity).

Questions regarding the application can be addressed to tom.beucler@unil.ch.

Tom Beucler
Assistant Professor (Starting August 1)
Data-Driven Atmospheric & Water Dynamics Lab [www.unil.ch/dawn]
Institute of Earth Surface Dynamics
University of Lausanne, Switzerland