Academic services on the HONDA project, including global circulation model simulations, direct numerical simulations of stratified turbulence, and analysis of observational atmospheric data, with emphasis on energy, helicity, and enstrophy cascades; publication and presentation of research results
Requirements:
University degree in relevant field; strong background in fluid mechanics and/or atmospheric physics; solid understanding of isotropic turbulence theory; experience with DNS and GCM simulations advantageous; knowledge of statistical methods and machine learning using Python advantageous; experience in scientific data processing and visualization advantageous; proficiency in Python is essential
Text:
:"# Research Associate for the Project u201cHigh-Order statistics of wiNDs in the lower and middle Atmosphere (HONDA)u201d u00a7 28 Subsection 3 HmbHGnn**Institution** Faculty of Mathematics, Informatics and Natural Sciences, Department of Earth System Sciences, Meteorologynn**Salary level** [EGR. 13 TV-L](https://oeffentlicher-dienst.info/c/t/rechner/tv-l/allg?id=tv-l-2025&matrix=1)nn**Start date** 01.04.2026, 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]).nn**Application deadline** 16.02.2026nn**Scope of work** part-timenn**Weekly hours** 75 % of standard work hours per weeknn## Your responsibilitiesnnDuties include academic services in the project named above. Research associates may also pursue further academic qualifications outside of their work responsibilities.nnTasks 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.nnThis joint project is being carried out in close cooperation with the Radar Sounding Department at the Leibniz Institute for Atmospheric Physics (IAP) in Ku00fchlungsborn.nnThe successful candidate will also be permanently involved in publishing and presenting research and project results.nn## Your profilennA university degree in a relevant field.nnA 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.nn## We offernn- Reliable remuneration based on wage agreementsn- Continuing education opportunitiesn- University pensionsn- Attractive locationn- Flexible working hoursn- Work-life balance opportunitiesn- Health management, EGYM Wellpassn- Educational leaven- 30 days of vacation per annumnnUniversitu00e4t Hamburgu2014University 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 u201cInnovating and Cooperating for a Sustainable Future in a digital ageu201d 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.nnThe 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.nnSeverely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.nn### Instructions for applyingnn#### ContactnnVictor Avsarkisovnn[victor.avsarkisov@uni-hamburg.de](mailto:victor.avsarkisov@uni-hamburg.de)nn#### Reference numbernn27nn#### LocationnnBundesstrau00dfe 55nn20146 Hamburgnn[Zu Google Maps](https://maps.google.de/maps/place/Bundesstrasse 55, 20146 Hamburg)nn#### Application deadlinenn16.02.2026nnUse only the online application form to submit your application with the following documents:nn- cover lettern- CVn- copies of degree certificate(s)nnIf you experience technical problems, send an email to [bewerbungen@uni-hamburg.de](mailto:bewerbungen@uni-hamburg.de).nnMore information on [data protection](https://www.uni-hamburg.de/en/stellenangebote/datenschutz.html) in selection procedures.",
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