Post Doctoral Position in Machine Learning for

Vor 7 Tagen

Lausanne, Waadt, Schweiz Université de Lausanne Vollzeit

Introduction:


UNIL is a leading international teaching and research institution, with over 5,000 employees and 17,000 students split between its Dorigny campus, CHUV and Epalinges.

As an employer, UNIL encourages excellence, individual recognition and responsibility.

Presentation:


The Institute of Earth Surface Dynamics (IDYST) of the Faculty of Geosciences and Environment or the University of Lausanne opens a position of
Postdoctoral Researcher in Machine Learning for Atmospheric Modeling.


  • AI4PEX (Artificial Intelligence for Enhanced Representation of Processes and Extremes in Earth System Models) is a project funded by Horizon Europe that aims to reduce uncertainties in climate projections by enhancing the representation of processes and extremes. Within AI4PEX, UNIL's role is to lead the development of machine learning (ML)based parameterizations for the atmosphere and participate in tasks aimed at constraining and quantifying model uncertainties using ML approaches.
This will include collaboration opportunities with research groups from the institutions listed below:

  • German Aerospace Center (DLR)
  • University of Valencia (UVEG)
  • UK Met Office
  • Institut Mines-Telecom (IMT)
  • Meteo France (CNRM)

Job information:

Expected start date in position : / to be agreed

Contract length : 1 year, renewable maximum 4 years

Activity rate : 100%

Workplace :
Lausanne-Mouline (Geopolis building)

Your responsibilities:

  • Technical Responsibilities:_
  • Lead the development of MLbased parametrizations for the atmosphere, focusing on cloud feedbacks and atmosphereocean heat exchanges
  • Participate in the advancement of ML methods for hybrid physicalstatistical modeling, e.g., to incorporate physical constraints and enhance generalizability
  • Contribute to the development of methods for the automatic tuning of atmospheric models and to quantify their parametric uncertainties using observational datasets
  • Engage in collaborative research efforts within AI4PEX to enhance model evaluation, particularly focusing on the atmosphere
  • Evaluate the impact of MLbased developments on climate model performance and contribute to the intercomparison of Earth system models through novel MLbased diagnostics
  • Research Dissemination and

Community Engagement:
_

  • Conduct independent, innovative, and responsible research at the interface of atmospheric science and machine learning
  • Disseminate results through scientific publications and conferences
  • Openly discuss research obstacles and seek advice/help in the lab
  • Make your research/code open and reproducible (e.g. through Github/Gitlab/arXiv)
  • Informally share research progress at the weekly lab meeting
  • Engage with the AI4PEX collaborators via regular online meetings
  • Actively participate in creating a collaborative and inclusive culture in the lab

Your qualifications:

  • PhD degree in atmospheric/climate science, computer science, or a closely related discipline
  • Demonstrated experience in atmospheric/climate science or scientific machine learning. We welcome applicants eager to expand their expertise in these areas, with training opportunities available
  • Experience in climate or Earth system modeling, ideally including experience in highperformance computing
  • Experience in manipulating scientific datasets, ideally including proficiency in Python.
Applicants keen to develop these skills further are encouraged

  • A solid foundation in applied mathematics and physics. We appreciate a range of competencies, including but not limited to calculus, differential equations, statistics, mechanics, and thermodynamics
  • Strong communication skills in English
  • Enthusiasm for both atmospheric/climate science and scientific machine learning
- (Preferred but not required) Mentoring experience

  • Note that proficiency in French is not required and free French courses are available at UNIL

What the position offers you:

  • Annual salary of approximately CHF 80k for up to 4 years, contingent upon satisfactory yearly reviews.
  • Fully funded personal research equipment, including a laptop, desktop computer, monitor, etc.
  • Fully funded researchrelated travel, including conferences, collaborations, etc.
  • Fully funded openaccess publication costs.
  • 5 weeks of paid holidays, in addition to national holidays.
  • Paid parental leave.
  • Access to UNIL's highperformance computing facilities, offering millions of CPU/GPU hours, 1 PB of storage, etc., with additional CPU hours available for computationally intensive mospheric simulations through collaborations.
  • An international collaboration network.
  • A friendly and cohesive culture at the Institute of Earth Surface Dynamics, including 12 day summer and winter retreats, usually in the Alps.
  • Access to UNIL campus facilities, including a sports center with over 100 recreational options,
- campus-grown food, etc.

Contact for further information:

Prof. Tom Beucler

Deadline :

  • C

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