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Barbara Feldmeyer

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PhD Position: Transcriptional Regulation in Beetle Sociality Senckenberg Gesellschaft für Naturforschung in Germany

Degree Level

PhD

Field of study

Evolutionary Biology

Funding

Available

Deadline

Mar 29, 2026

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Country

Germany

University

Senckenberg Gesellschaft für Naturforschung

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Where to contact

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Keywords

Evolutionary Biology
Biology
Gene Expression
Transcriptional Regulation
Parental Care
Omics
Epigenetic
Genomic
Molecular Ecology
Bioinformatic

About this position

The Senckenberg Gesellschaft für Naturforschung, a renowned institution for biodiversity and earth system research based in Frankfurt am Main, is offering a PhD position in the Department of Molecular Ecology at the Senckenberg Biodiversity and Climate Research Centre (SBiK-F). This project, titled "Transcriptional Regulation in Beetle Sociality," focuses on uncovering the regulatory architecture underlying the evolution of subsociality and complex parent-offspring interactions in beetles. The research aims to bridge the gap in understanding the transition from solitary to subsocial lifestyles, a key step toward eusociality, using a multi-omics approach.

The successful candidate will conduct experimental work, including sample collection from eight beetle species across different parental-care phases, perform essential laboratory procedures such as RNA extraction and library preparation, and carry out bioinformatic analyses to integrate gene expression and epigenetic data. The project is highly collaborative, involving the Sandra Steiger research group (University of Bayreuth), Peter Biedermann (University of Freiburg), and modeling partners at LMU Munich and Coventry University. It is part of the interdisciplinary "GEvol: Genomic Basis of Evolutionary Innovations" consortium, funded by the German Science Foundation (DFG).

Applicants should have a Master’s degree in Biology, Evolutionary Biology, Molecular Biology, Bioinformatics, or a related field, with a strong interest in evolutionary processes, genomics, and behavior. Experience with NGS data, R, or other programming languages is advantageous. The position offers a dynamic, international research environment, flexible working hours, support for work-life balance, and integration into a vibrant scientific community in Frankfurt. Remuneration is based on the collective agreement of the state Hesse (TV-H) / E13, part-time (65%), for three years, with additional benefits such as a company pension plan and annual special payment.

To apply, candidates should submit a single PDF containing a letter of motivation, CV, academic certificates, publication list, and recommendation letters (if available) via the Senckenberg website by March 29, 2026. For further information or specific questions, contact Dr. Barbara Feldmeyer or Prof. Dr. Sandra Steiger by email. More details about the institution and the application process can be found on the Senckenberg website.

Funding details

Available

What's required

Applicants must hold a Master's degree (or equivalent) in Biology, Evolutionary Biology, Molecular Biology, Bioinformatics, or a related field. Strong interest in evolutionary processes, genomics, and behavior is required. Prior experience with NGS data, R, or another programming language is a plus. Candidates should have experience in formulating scientific questions, planning and executing research projects, and possess very good English communication skills, curiosity, independence, and the ability to work collaboratively in an interdisciplinary team. Desirable skills include experience in conducting experiments, tissue dissection, molecular laboratory procedures (including RNA extraction, Enzyme-seq, and CUT&Tag library preparation), and familiarity with transcriptome, methylation, and/or histone modification analyses.

How to apply

Submit your application as a single PDF file (including letter of motivation, CV, certificates, publication list, and recommendation letters if available) via the Senckenberg website by March 29, 2026. For questions, contact Dr. Barbara Feldmeyer or Prof. Dr. Sandra Steiger by email. Ensure all documents are combined into one PDF before uploading.

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