Research Associate (Bioinformatics): The University of Hamburg is seeking a highly motivated Research Associate for a project focused on biotic interactions and carbon cycling in the Elbe Estuary. This role will involve bioinformatics analysis and synthesis of molecular data critical for understanding ecosystem responses to climate change.
Designation
Research Associate for the Project “Synthesis on Biotic Interactions and C Cycling in the Elbe Estuary – A Bioinformatics Approach”
Table
| Detail | Information |
|---|---|
| Institution | Faculty of Mathematics, Informatics and Natural Sciences, Department of Biology, Institute of Cell and Systems Biology of Animals in collaboration with Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) |
| Salary Level | EGR. 13 TV-L |
| Start Date | 01.10.2025 |
| Contract Duration | Fixed-term for 24 months |
| Application Deadline | 2025-07-27 |
| Work Scope | Full-time position (also suitable for part-time) |
Research Area
Bioinformatics with a focus on biotic interactions and carbon cycling in estuarine environments.
Location
Martin-Luther-King-Platz 3, 20146 Hamburg
Eligibility/Qualification
- University degree (PhD, Dr rer nat) in bioinformatics, informatics, biology, or a relevant field.
- Experience with next-generation sequencing techniques and their bioinformatic/statistical analysis.
- Familiarity with microbiome amplicon and shotgun sequence analyses, de novo assembly, and microbial RNA-Seq analysis.
- Knowledge of database setup and management is preferred.
- Strong communication skills and proficiency in English (oral and written).
Job Description
- Conduct academic services in the project “Synthesis on Biotic Interactions and C Cycling in the Elbe Estuary.”
- Perform annotation of sequence data for microbiome community analyses.
- Identify prevailing pathways and conduct statistical analyses of regulated transcripts/pathways.
- Analyze spatial-temporal patterns in major pathways influenced by environmental factors.
- Use bioinformatics tools for integrating omics-data.
- Develop and implement the RTG Data Management Plan and build the RTG2530 sequence database for future research sustainability.
How to Apply
Interested candidates should submit their applications using the online application form, which must include:
- Cover letter
- Curriculum Vitae (CV)
- Copies of degree certificates
For any technical issues during the application process, please contact: bewerbungen@uni-hamburg.de.
Last Date for Apply
2025-07-27
For further inquiries, you may contact:
- Dr. Andrej Fabrizius: andrej.fabrizius@uni-hamburg.de, +49 40 42838-5646
- Prof. Hans-Peter Grossart: hanspeter.grossart@igb-berlin.de, +49 33082 699 91
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