Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Institute of Plant Science and Microbiology
Salary level: EGR. 13 TV-L
Start date: 01.04.2026, fixed till 31.03.2029 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).
Application deadline: 2025-11-20
Scope of work: part-time
Weekly hours: 65 % of standard work hours per week
The overall mission of the Research Training Group 2530 (RTG 2530) is to fill existing knowledge gaps on biota-mediated effects on estuarine C cycling under current conditions and with respect to global change scenarios. Embedded into the inspiring academic environment of the University of Hamburg, RTG 2530 provides Doctoral and Postdoctoral Researchers an outstanding platform for their career development. The RTG has been established by an interdisciplinary group of 17 Principal Researchers with scientific backgrounds ranging from terrestrial and marine ecology, via geoscience to microbiology and molecular animal biology. The RTG is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG). Currently, we have 14 open positions (TVL E13, 65%) for doctoral researchers (see).
Active participation in a structured graduate program.
The doctoral researcher will be a member of RTG 2530 and the lab of ecological modelling. The goal of the subproject is the estimation of the future carbon balance of estuarine marshes under scenarios of climate change and sea level rise for the next decades. In particular, the currently unclear role of shifts in the functional composition of plant and soil microbial communities for carbon cycling will be examined, building on previous model development work in the RTG 2530. The evaluation of the model will be complemented by experimental work in other subprojects of the RTG 2530.
A university degree in the field(s) of i.e., Biology, Geosciences, or Environmental Sciences
The successful candidate needs to have knowledge and experience in quantitative theoretical ecology, in particular vegetation and soil processes, and biogeochemistry, and also skills in numerical modelling. Expertise in coastal ecology and experience with Linux and scientific writing are an asset. Good oral and written English skills are necessary.
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.
Philipp Porada
Susanne Stirn
Ohnhorststr. 18
22609 Hamburg
316
2025-11-20
Use only the online application form to submit your application with the following documents:
The selection days will take place online from December 8-9, 2025.
If you experience technical problems, send an email to .
More information on in selection procedures.