PhD position in "Large-scale dynamical mechanisms of Arctic-midlatitude linkages" (m/f/d)

Updated: 3 months ago
Location: Potsdam, BRANDENBURG
Deadline: 22 Feb 2024

26 Jan 2024
Job Information
Organisation/Company

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Research Field

Environmental science
Researcher Profile

First Stage Researcher (R1)
Country

Germany
Application Deadline

22 Feb 2024 - 08:16 (UTC)
Type of Contract

To be defined
Job Status

Other
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Area of research:

PHD Thesis

Part-Time Suitability:

The position is suitable for part-time employment.

Job description:PhD position in "Large-scale dynamical mechanisms of Arctic-midlatitude linkages" (m/f/d)

Background
The section Physics of the Atmosphere at the Alfred Wegener Institute in Potsdam, Germany, invites applications for a PhD position funded within the Transregional Collaborative Research Center TR172 on “ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)³” (www.ac3-tr.de ) by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft). Within the TR172, AWI, together with the collaboration partners (Universities of Leipzig, Cologne, and Bremen, TROPOS), aims to better observe, understand, and simulate processes leading to the current drastic climate changes in the Arctic. Specifically, the title of the PhD project at AWI is Large-scale dynamical mechanisms of Arctic-midlatitude linkages.

Project description
The PhD project intends to achieve a better understanding of the large-scale dynamical mechanisms underlying Arctic-midlatitude linkages. In particular, whether and how advanced representations of Arctic processes in a global climate model improve the representation of Arctic-midlatitude linkages will be studied.
To achieve this, improved surface-related physical parametrizations for Arctic conditions, e.g., for turbulent fluxes and albedo, developed in the previous phases of the TR172 (AC)3, will be implemented into the global atmospheric model ICON. To investigate the impacts of the improved parametrizations, a series of model sensitivity experiments with the global model ICON will be performed and analyzed. The analyses of the resulting comprehensive big climate data sets will comprise analyses of changes in the Arctic atmospheric circulation, together with analyses of changes in large-scale energy transport and atmospheric circulation patterns and the related Arctic–mid-latitude linkages.

Tasks

  • Implementation of improved surface-related physical parametrizations for Arctic conditions into the global ICON model
  • Set-up and performance of new climate model sensitivity experiments with ICON with standard and improved physical parametrizations
  • Analyses of changes in the Arctic atmospheric circulation in the sensitivity experiments
  • Applying multivariate statistical methods, including machine learning approaches, to analyze changes in large-scale atmospheric circulation in the sensitivity experiments aiming at an improved understanding of the dynamical mechanisms for the Arctic–mid-latitude linkages
  • Undergoing intensive training in both numerical atmospheric modeling and techniques of data analysis at AWI and also within the (AC)3 network
  • Benefitting from supervision by a team of experts in your field
  • Closely interacting with companion projects based both at AWI, Bremen University and Leipzig University, and
  • Being a part of the inspiring network of PhD students within the (AC)3 project.

Requirements
You need to hold a M.Sc. degree in meteorology, climate physics, physics, or related fields. A strong interest in large-scale atmospheric dynamics and atmospheric processes such as boundary-layer turbulence or radiation is expected. Very good skills in processing and analyzing big climate data and advanced programming and computational skills (e.g., R, Python, Fortran) are required. Experience in climate modeling and working with Unix-like operating systems is an advantage. You should have a very good command of written and spoken English and be willing to interact with an interdisciplinary science community.

Further Information
The AWI is characterised by

The AWI is characterised by

  • our scientific success - excellent research
  • collaboration and cooperation - intra-institute, national and international, interdisciplinary
  • opportunities to develop – on the job and towards other positions
  • an international environment – everyday contact with people from all over the world
  • flexible working hours and the possibility of mobile working up to 50% of regular working hours
  • support services and a culture of reconciling work and family
  • Occupational pension provision (VBL)

Equal opportunities are an integral part of our personnel policy. The AWI aims to increase the number of employees who are women, and therefore strongly encourages qualified women to apply.

Applicants with disabilities will be given preference when equal qualifications are present.

The AWI fosters the compatibility of work and family in various ways and has received a number of awards as a result of this engagement.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.


Requirements
Additional Information
Website for additional job details

https://recruitingapp-5442.de.umantis.com/Vacancies/1588/Description/2?lang=eng

Work Location(s)
Number of offers available
1
Company/Institute
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
Country
Germany
City
Potsdam
Geofield


Where to apply
E-mail

[email protected]
Website

https://recruitingapp-5442.de.umantis.com/Vacancies/1588/Description/2?lang=eng

Contact
City

Bremerhaven
Website

http://www.awi.de/en
Street

Am Handelshafen 12
Postal Code

27570
E-Mail

[email protected]
Phone

+49 471 4831-0
Fax

+49 471 4831-1149

STATUS: EXPIRED

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