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Research Associate for the Project “High-Order statistics of wiNDs in the lower and middle Atmosphere (HONDA)” § 28 Subsection 3 HmbHG

Research Associate for the Project “High-Order statistics of wiNDs in the lower and middle Atmosphere (HONDA)” § 28 Subsection 3 HmbHG

Research Associate for the Project “High-Order statistics of wiNDs in the lower and middle Atmosphere (HONDA)” § 28 Subsection 3 HmbHG

Research Associate for the Project “High-Order statistics of wiNDs in the lower and middle Atmosphere (HONDA)” § 28 Subsection 3 HmbHG

universität hamburg

Fach- und Hochschulen

Hamburg

  • Art der Beschäftigung: Teilzeit
  • Hybrid

Research Associate for the Project “High-Order statistics of wiNDs in the lower and middle Atmosphere (HONDA)” § 28 Subsection 3 HmbHG

Über diesen Job

Foto: UHH/Esfandiari

Research Associate for the Project "High-Order statistics of wiNDs in the lower and middle Atmosphere (HONDA)” § 28 Subsection 3 HmbHG

InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Earth System Sciences, Meteorology

Salary levelEGR. 13 TV-L

Start date01.04.2026, fixed for a period of three years (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline02.03.2026

Scope of workpart-time

Weekly hours75 % of standard work hours per week

Your responsibilities

Duties include academic services in the project named above. Research associates may also pursue further academic qualifications outside of their work responsibilities.

Tasks include global circulation model (GCM) simulations of the Earth's atmosphere, idealized direct numerical simulations (DNS) of stratified turbulence, and analysis of observational data from remote sensing or in situ sources. The focus is on analyzing energy, helicity, and enstrophy cascades using these different data sets in order to understand the bidirectional (direct and inverse) cascade processes in the Earth's atmosphere.

This joint project is being carried out in close cooperation with the Radar Sounding Department at the Leibniz Institute for Atmospheric Physics (IAP) in Kühlungsborn.

The successful candidate will also be permanently involved in publishing and presenting research and project results.

Your profile

A university degree in a relevant field.

A strong background in fluid mechanics and/or atmospheric physics is essential, as is a solid understanding of isotropic turbulence theory. Experience of direct numerical simulations (DNS) and global circulation model (GCM) simulations would be advantageous. Knowledge of applying statistical methods and machine learning techniques using Python would also be an asset. Previous experience in scientific data processing and visualisation would also be advantageous. Proficiency in the Python programming language is essential.

We offer

  • Reliable remuneration based on wage agreements
  • Continuing education opportunities
  • University pensions
  • Attractive location
  • Flexible working hours
  • Work-life balance opportunities
  • Health management, EGYM Wellpass
  • Educational leave
  • 30 days of vacation per annum

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle "Innovating and Cooperating for a Sustainable Future in a digital age” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

The University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Unternehmens-Details

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universität hamburg

Fach- und Hochschulen

5.001-10.000 Mitarbeitende

Hamburg, Deutschland

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