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Universität Hamburg

Universität Hamburg
Vollzeit, Teilzeit
Hamburg
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Research Associate on Land Surface Modeling in the MOMENTplus project § 28 Subsection 3 HmbHG

Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Earth System Sciences

Salary level: EGR. 13 TV-L

Start date: 01.05.2026, 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 deadline: 2026-03-15

Scope of work: part-time

Weekly hours: 65 % 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. They may also pursue doctoral studies outside of working duties.

We are looking for an enthusiastic PhD student working in the project MOMENTplus (). This PhD student will work on the new ICON-land model which includes the Jena Soil Model in order to address questions on the future Arctic methane budget and the effect of plant-microbe interactions on the C budget in permafrost-affected ecosystems. You will join a dynamic and growing group of field scientists and modellers with interesting research questions about Arctic ecosystems and related climate feedbacks. The candidate will be embedded into the School of Integrated Climate System Sciences at the University of Hamburg and the MOMENTplus consortium with seven German institutions. We expect you to integrate into these research environments, and to contribute to the ICON-Land model development.

Your profile

A university degree in a relevant field.

The ideal candidate has got experience in dynamic modeling approaches (land surface models, dynamic global vegetation models) or experience in using computer languages like FORTRAN or C. You are also familiar or interested in soil processes in northern high latitude ecosystems, and you like to present your research results at conferences and in peer-reviewed journals. We offer you a dynamic research environment where you are embedded into a larger group of modelers working on the same land surface model.

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.

Instructions for applying

Contact

Prof. Dr. Christian Beer

Dr. Min Jung Kwon

Location

Allende-Platz 2
20146 Hamburg

Reference number

51

Application deadline

2026-03-15

Use only the online application form to submit your application with the following documents:

  • cover letter
  • CV
  • copies of degree certificate(s)

If you experience technical problems, send an email to .

More information on in selection procedures.