University:
Leibniz-Institute for Plant Genetics and Crop Plant Research
Country:
Germany
Deadline:
2025-09-03
Fields:
Bioinformatics, Data Science, Systems Biology, Computational Biology, Molecular BiologyAre you passionate about harnessing the power of machine learning and metabolomics to unravel the complex interactions between plants and their microbiomes—while advancing your academic career in a world-class research environment? If your goal is to contribute to cutting-edge research at the intersection of computational science and plant biology, the PhD position in Machine Learning & Metabolomics at the Leibniz-Institute for Plant Genetics and Crop Plant Research (IPK) in Germany may be the perfect opportunity for you.
About The University Or Research Institute
The Leibniz-Institute for Plant Genetics and Crop Plant Research (IPK) is one of Germany’s most prominent research centers specializing in plant genetics, genomics, and crop science. Located in Gatersleben, Saxony-Anhalt, the IPK is recognized internationally for its pioneering research in plant biology, genetics, and biotechnology. As part of the esteemed Leibniz Association, the institute boasts a vibrant, interdisciplinary academic environment, state-of-the-art facilities—including high-performance computing and advanced imaging—and strong collaborations with leading research institutions worldwide.Germany itself is renowned for its commitment to scientific innovation and excellence in higher education. As a PhD student in Germany, you will benefit from a structured doctoral training system, access to extensive research funding, and a high standard of living. The country’s central location in Europe also facilitates academic networking and travel, making it an attractive destination for ambitious early-career scientists.
Research Topic and Significance
The focus of this PhD project is on using machine learning to investigate how genetic variation influences gene regulation, protein function, and ultimately, observable plant traits. The research is embedded within a DFG-funded international initiative that explores plant-microbiome interactions through large-scale metabolomics and other omics platforms.
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Understanding these interactions is crucial for advancing sustainable agriculture, improving crop resilience, and addressing global food security challenges. By integrating multi-omics data—including genomics, transcriptomics, and metabolomics—this project seeks to uncover the complex molecular mechanisms that underpin plant health and productivity. The insights gained have the potential to inform breeding strategies and biotechnological innovations that can transform agriculture worldwide.
Project Details
As a member of the Network Analysis and Modelling group, the successful candidate will:– Process and curate LC-MS/MS data for high-quality feature extraction.– Design and train machine learning models for mass spectrometry and chemometric data.– Integrate multi-omic datasets, including genomics and transcriptomics.– Present research findings at international conferences and publish in peer-reviewed journals.The project offers a 3-year, project-based position with a gross salary up to 65% E13 TV-L, starting on October 1, 2025. The IPK provides a collegial, international atmosphere, flexible and family-friendly working hours, and a structured PhD program with extensive training and career development opportunities.
Candidate Profile
The Ideal Applicant Will Have
– A Master’s degree (or equivalent) in Bioinformatics, Data Science, Systems Biology, or other relevant fields.– Programming experience in Python and/or R (e.g., scikit-learn, PyTorch, TensorFlow).– Knowledge of omics technologies, especially mass spectrometry and chemometrics.– A background in basic molecular biology or biochemistry.Candidates who demonstrate strong scientific curiosity, motivation, and a passion for interdisciplinary teamwork at the interface of biology and data science will thrive in this environment. The ability to work independently and communicate data science projects transparently is essential.
Application Process
The Application Window Is Open From August 12, 2025, To September 3, 2025. Applications Must Be Submitted Online As a Single PDF Document (including a Letter Of Motivation, CV, And Certificates) Via The Official Job Portalhttps://www.ipk-gatersleben.de/en/career/job-offers/job-offer/phd-student-f-m-d-in-the-field-of-machine-learning-metabolomicsFor further information, please refer to the official advertisement.
Conclusion
If you are eager to advance your expertise in machine learning, metabolomics, and plant-microbiome research within an internationally recognized institute, this PhD position at the Leibniz-Institute for Plant Genetics and Crop Plant Research represents an exceptional opportunity. We encourage all qualified candidates to apply and to explore additional career opportunities in related fields.Want to calculate your PhD admission chances? Try it here:https://phdfinder.com/phd_admission_chance_calculator/
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