Research Assistant / PhD Student (m/f/d) Plant-Pollinator Interactions, Organismic Biology

University of Regensburg; Deutschland; Vor Ort; EUR 15.000 - 25.000; Teilzeit

Zusammenfassung

A German university is seeking a PhD student in Ecology to conduct empirical observations of plant-pollinator networks, perform statistical analyses using R, and analyze genetic structures of plants. Candidates should hold a M.Sc. in biology or related fields and have a strong interest in ecological research. The position is part-time and temporary, located in Germany with a deadline for applications on 30 Nov 2025.

Qualifikationen

• A M.Sc. degree in biology, ecology, or related fields is required.
• Good knowledge of English and an interest in writing scientific publications.
• Experience in statistical analysis in R is preferred.

Aufgaben

• Empirical observation of plant-pollinator networks.
• Statistical analysis of interaction networks using machine learning methods.
• Analysis of the spatial genetic structure of plants using next-generation sequencing.

Kenntnisse

Statistical analysis in R

Empirical observation of plant-pollinator networks

Good knowledge of native vascular plants

Interest in pollinators and fieldwork

Interest in population genetic laboratory methods

Good knowledge of English

Ausbildung

M.Sc. degree in biology, ecology, or related fields

Jobbeschreibung

Faculty of Biology and Pre-Clinical Medicine

Organisation/Company University of Regensburg Department Faculty of Biology and Pre‑Clinical Medicine Research Field Environmental science » Ecology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 30 Nov 2025 - 09:55 (Europe/Berlin) Type of Contract Temporary Job Status Part‑time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We are looking for a PhD student to work on the following tasks and qualifications:

• Empirical observation of plant‑pollinator networks
• Statistical analysis of interaction networks and testing their predictability using machine learning methods
• Analysis of the spatial genetic structure of plants using next‑generation sequencing (NGS)
• A M.Sc. degree in biology, ecology, or related fields. If already available, please include your M.Sc. thesis in your application.
• Good knowledge of native vascular plants as well as an interest in pollinators and in fieldwork
• Experience and interest in statistical analysis in R
• Interest and, ideally, prior knowledge of population genetic laboratory methods
• Good knowledge of English and the Interest in writing scientific publications