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Job advertisement PhD position in Computational Enhancements for Ocean Modeling

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European Geosciences Union

PhD position in Computational Enhancements for Ocean Modeling

PhD position in Computational Enhancements for Ocean Modeling


Alfred Wegener Institute Helmholtz Center for Polar and Marine Research

The AWI is characterized 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, health promotion and company fitness, 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.


Bremerhaven, Germany


Relevant divisions
Climate: Past, Present & Future (CL)
Cryospheric Sciences (CR)
Ocean Sciences (OS)

Full time

Student / Graduate / Internship

The salary will be paid in accordance with the Collective Agreement for the Public Service of the Federation (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), up to salary level 13 (66%)

Required education

Application deadline
15 July 2024

24 June 2024

Job description

We are offering a PhD in Computational Enhancements for Ocean Modeling at the Alfred Wegener Institute in Bremerhaven, Germany.

This position offers the unique opportunity to engage in groundbreaking research on the modeling of ocean dynamics in the climate system using the Finite volumE Sea ice Ocean Model (FESOM). More specifically, it aims to develop and integrate higher-order numerical methods into FESOM, enhancing its capability to accurately simulate eddy-rich ocean dynamics. The candidate will also contribute to the development of a new, accelerated Python-based code for FESOM, optimizing computational efficiency and scale representation.

The position is a part of Collaborative Research Centre TRR181 “Energy transfers in the atmosphere and ocean” (