Job posting and publications

Author: nikudarafshi

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+---
+title: "Research Assistant / Postdoctoral Scientist at Goethe University "
+date: 2023-12-01
+featured: true
+draft: false
+weight: 1
+location: "Frankfurt"
+featured_image:: '/images/gravity_waves_big.jpg'
+---
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+<div>
+<img src="/Jobs/images/Goethe_square.png" alt="logo" style="float:left;width:25%;height:25%;padding:0 25px 0 0;">
+<h2> Advisor: Ulrich Achatz </h2>    
+<a href="/pdfs/Postdoc_AtmosphericDynamics_Climate_Frankfurt.pdf">PDF Here</a>   
+<!--  -->
+
+<p> The research group <a href="https://www.goethe-university-frankfurt.de/45681958/Theory-of-Atmospheric-Dynamics-and-Climate">Theory of Atmospheric Dynamics and Climate</a> at the Institute of Atmospheric and Environmental Sciences of the Goethe University in the city of Frankfurt invites applications for a Research Assistant / Postdoctoral Scientist for a three year position. The position includes a moderate participation in teaching. In case of successful performance an extension up to another three years is possible.
+</p>
+Within the project we aim to improve the understanding of relevant multiscale processes in the tropopause region and to specify their impact on composition, dynamics and ultimately on future climate and climate variability. The postdoctoral scientist will work on the unresolved-dynamics impact on transport and mixing in the tropopause region. The work will address the dynamics of gravity waves and their impact on tracers. 
+</p>
+</div>
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+<!--more-->
+This shall be done within the weather and climate code ICON. For this purpose, the new multi-scale and Lagrangian gravity-wave model MS-GWaM, already implemented and running in ICON, shall be developed further, using theoretical considerations and numerical methods. Once adapted, ICON/MS-GWaM is to be used for studying the gravity-wave impact on residual circulation and mixing. Further inputs on the development of the theory and numerics of MS-GWaM would be most welcome, e.g. with regard to gravity-wave sources.
+
+### Employment conditions
+The salary grade is based on the job characteristics of the collective agreement (TV-G-U) applicable to the Goethe University. This call stays opened after its initial deadline December 10, 2023.
+
+### Qualifications:
+PHD in in meteorology, physics, applied mathematics, fluid dynamics, or a related field.
+Expected is a strong background in theory and/or modeling, a genuine interest in atmospheric dynamics as a field of research and the readiness to work (or learn working) with atmospheric weather and climate models.
+
+### Document requested:
+Applicants should send via e-mail to [Ulrich Achatz]({{< ref "/Team/" >}}):
+1. a letter of motivation
+2. a complete CV including a list of publications
+3. copies of all relevant certificates
+4. at least two contacts for reference letters 

content/Jobs/.DS_Store

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-title: "[Filled] PhD and PostDoc at Rice University"
-date: 2022-10-01 
+title: "PhD / PostDoc / Research Assistant Positions at Rice University"
+date: 2023-11-15
 featured: true
 draft: false
 weight: 1
-location: "Houston, Texas (USA)"
-featured_image:: "/Jobs/images/Rice_Square.png"
+location: "Chicago, IL (USA)"
+featured_image:: "/Jobs/images/Chicago_square.png"
 ---
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-<img src="/Jobs/images/Rice_Square.png" alt="University Logo" style="float:left;width:25%;height:25%;padding:0 25px 0 0;">
+<img src="/Jobs/images/Chicago_square.png" alt="University Logo" style="float:left;width:25%;height:25%;padding:0 25px 0 0;">
 <h2> Advisor: Pedram Hassanzadeh </h2>                                           
-<!-- ![logo](/Jobs/images/Rice_Square.png) -->
-<a href="/pdfs/Openings2022_Rice[96].pdf">PDF Here</a>
-  <p> The <a href="http://pedram.rice.edu/">Rice University Environmental Fluid Dynamics Group</a> has multiple postdoc and PhD positions in the following two topics (and at their intersection):<br>  
-    1) Applications of machine learning (ML) to improve the modeling and prediction of turbulent flows, atmospheric processes, climate change, and weather extremes.<br>  
-    2) Understanding the dynamics and future changes of the extratropical, large-scale atmospheric circulation variability, with a particular focus on blocking events and annular modes. <!--This project is part of two multi-disciplinary collaborative initiatives involving several US and international teams: <a href="https://datawaveproject.github.io/">DataWave</a> and <a href="https://cssi-gws.github.io/">CSSI-GW</a>.--> </p>
+
+  <p> The <a href="http://pedram.rice.edu/">University of Chicago’s Climate Extremes Theory and Data Group</a> has multiple postdoc, research scientist, and PhD positions in the following three topics (and at their intersections):<p>  
+    1) Extreme weather events and climate change (with a focus on dynamics and the extratropical atmospheric circulation)<br>  
+    2) Scientific deep learning for multi-scale nonlinear dynamical systems (with a focus on developing general, rigorous frameworks for explainability and analysis) <br>
+    3) Applications of deep learning to improve analysis, modeling, and prediction of climate variability, weather extremes, and geophysical turbulence (with a focus on subgrid-scale modeling and spatio-temporal forecast/emulation). In particular, there are a few openings in this area for the DataWave project. <!--This project is part of two multi-disciplinary collaborative initiatives involving several US and international teams: <a href="https://datawaveproject.github.io/">DataWave</a> and <a href="https://cssi-gws.github.io/">CSSI-GW</a>.--> </p>
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-Regarding (1), one topic of particular interest is developing rigorous frameworks for interpreting/explaining deep neural networks and analyzing their stability, out-of-distribution generalization, and error bounds for applications involving multi-scale dynamical systems such as turbulent flows and the climate system. One objective of this project is to support two multi- disciplinary collaborative initiatives involving several US and international teams focused on developing subgrid-scale parameterizations for atmospheric gravity waves by leveraging high- resolution simulations, observational data, and novel ML techniques.
-
-Regarding (2), the main interest is in using hierarchical modeling and novel approaches to analyzing eddy-mean flow interactions and deriving scaling laws to gain a deeper understanding of the dynamical mechanisms of blocking events and annular modes, and their future changes under global warming.
-
-Postdoc applicants: For more information and the application process, please see “Postdoc Positions” at http://pedram.rice.edu/available-positions/. The start date is flexible. Applications that are received by Nov. 15, 2022 will receive full consideration. Review of applications will continue until the positions are filled.
+We are looking for highly motivated applicants with strong backgrounds in one or more of these areas: climate dynamics, geophysical fluid dynamics, applied math, scientific deep learning, numerical analysis, and turbulence physics.
+<p>
+All Ph.D. students and researchers will benefit from our group’s involvement in multi-institutional, international collaborative projects such as the Schmidt Futures-supported <a href="https://datawaveproject.github.io/">DataWave</a> and NSF-supported <a href="https://cssi-gws.github.io/">GW-CSSI</a>. They will also benefit from UChicago’s thriving and expanding programs in Climate Science, AI+Science, Computational and Applied Math, Data Science, and Climate Systems Engineering.
+<p>
+<strong>Postdoc Applicants: </strong><p>
+More information about the potential projects, required qualifications, and application process can be found on <a href="https://bpb-us-e1.wpmucdn.com/blogs.rice.edu/dist/2/6800/files/2023/08/Postdoc-positions-climate-extremes-and-AI.pdf">this pdf</a>. The start date is flexible (anytime from 1/1/2024 to 1/1/2025). Applications will be reviewed on a rolling basis. The review will continue until all of the positions are filled. We encourage you to submit your application (or reach out) as soon as possible, even if you are interested in starting dates after the summer of 2024.. The start date is flexible. Applications that are received by Nov. 15, 2022 will receive full consideration. Review of applications will continue until the positions are filled.
+<p>
+<strong>Research scientist positions: </strong><p>
+Outstanding applicants for the above positions with more than 3 years of postdoc experience will be considered for appointment as research scientists.
+<p>
+<strong>PhD applicants:</strong><p>
+More information about the potential projects, required qualifications, and application process can be found on <a href="https://bpb-us-e1.wpmucdn.com/blogs.rice.edu/dist/2/6800/files/2023/08/PhD-positions-climate-extremes-and-AI.pdf">this pdf</a>. Depending on an applicant’s research interests and educational background, they can apply to the Ph.D. programs in Geophysical Sciences, Computational and Applied Mathematics, or other disciplines in UChicago’s Physical Sciences Division.
 
-PhD applicants: For more information about the application process, please see “PhD Positions” at http://pedram.rice.edu/available-positions/.
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content/Jobs/FrankfurtPostDoc.md

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+---
+date: 2023-11-02
+description: " "
+featured_image: "/images/Data_Images/achatz_gw.png"
+title: "Multi-scale dynamics of the interaction between waves and mean flows: From nonlinear WKB theory to gravity-wave parameterizations in weather and climate models"
+title2: " "
+---
+## Authors:
+***Ulrich Achatz***, Young-Ha Kim, and Georg Sebastian Voelker
+
+[Read the full paper here](https://doi.org/10.1063/5.0165180)
+## Abstract:
+The interaction between small-scale waves and a larger-scale flow can be described by a multi-scale theory that forms the basis for a new class of parameterizations of subgrid-scale gravity waves (GW) in weather and climate models. The development of this theory is reviewed here. It applies to all interesting regimes of atmospheric stratification, i.e., also to moderately strong stratification as occurring in the middle atmosphere, and thereby extends classic assumption for the derivation of quasi-geostrophic theory. 
+<!--more-->
+At strong wave amplitudes a fully nonlinear theory arises that is complemented by a quasilinear theory for weak GW amplitude. The latter allows the extension to a spectral description that forms the basis of numerical implementations that avoid instabilities due to caustics, e.g., from GW reflection. Conservation properties are discussed, for energy and potential vorticity, as well as conditions under which a GW impact on the larger-scale flow is possible. The numerical implementation of the theory for GW parameterizations in atmospheric models is described, and the consequences of the approach are discussed, as compared to classic GW parameterizations. Although more costly than the latter, it exhibits significantly enhanced realism, while being considerably more efficient than an approach where all relevant GWs are to be resolved. The reported theory and its implementation might be of interest also for the efficient and conceptually insightful description of other wave-mean interactions, including those where the formation of caustics presents a special challenge.
+
+## Plain Language Summary:
+Gravity waves are atmospheric waves with oscillations in wind, temperature, pressure etc that are emitted by heavy weather like thunderstorms, weather fronts etc, but also by winds blowing over mountains. Their wavelengths are so short (down to a few km) that present-day weather and climate models cannot resolve all of them with their coarse grids. Yet their impact on weather and climate is important. Atmospheric models must describe the dynamics and effects of gravity waves without resolving them explicitly, by modules called parameterizations, in order to get weather forecasts and climate simulations right. By now we understand that the  traditional construction of gravity-wave parameterizations is too simple in several regards. This limits especially the reliability of climate-change simulations. The paper outlines the general theory to be used for gravity-wave parameterizations and it describes how it can be used in models.