Job Advertisement Leibniz-HKI-57/2023

The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group Microbiome Dynamics invites talented and highly gifted candidates to apply as

Doctoral Researcher (f/div/m) in Metagenomics

As part of a new EU-funded project, the Microbiome Dynamics (MBD) Department contributes to developing microbiome-based creative solutions to address food, health, economic, and environmental challenges. We are seeking an excellent and enthusiastic Ph.D. student in the fields of metagenomics, metabolic modeling and/or Big Data to work on this project and collaborate closely with an extensive network of top European scientists and start-ups. The objective of the Ph.D. project is to apply metagenomic-based bioinformatic approaches to analyze food spoilage bacteria and subsequently design synthetic microbial communities that can interrupt the spoilage process.

The candidate will also have the opportunity to contribute to several national and international research projects focused on the role of the microbiome in globally significant diseases. Together with renowned scientists and supported by an excellent infrastructure, you will have the opportunity to contribute to a healthier, cleaner, and fairer society. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Your profile:

  • A strong interest in conducting collaborative research on the topic outlined above is paramount

  • Candidates are expected to be interested in working at the boundaries of several research domains

  • Master´s degree in systems biology, computational biology, bioinformatics, biophysics, computer science, or a related discipline

  • Knowledge and experience in the analysis of biological high-throughput data

  • Knowledge of statistical methods in the context of biological systems

  • Experience with programming (Python, Perl, C++, R)

  • Well-developed collaborative skills

We offer:

  • The successful candidate will be hosted in the department Microbiome Dynamics of Prof. Dr. Gianni Panagiotou of the Leibniz-HKI in an international, dynamic team and an "open-door" atmosphere with access to state-of-the-art computational resources.

  • MBD is currently coordinating the BMBF funded consortium PERMICCION (www.permiccion.de) and is an active participant of the Cluster of Excellence “Balance of the Microverse” (www.microverse-cluster.de) and the CRC/Transregio 124 “Pathogenic fungi and their human host: Networks of interaction” (www.funginet.de) funded by the Deutsche Forschungsgemeinschaft.

  • An international and multi-disciplinary environment with strong expertise in the proposed research field. The group consists of approximately 15 members at different levels of seniority.

  • Salary is paid according to German TV-L (salary agreement for public service employees).

For further information:

Prof. Dr. Gianni Panagiotou | +49 3641 532-1759 | career@leibniz-hki.de

Applications:

Leibniz-HKI is proud to be an equal opportunity employer and promote diversity and inclusion in the workplace. It aims to increase the proportion of underrepresented groups in case of equal suitability. All qualified persons, regardless of color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment.

Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences, a brief summary of the Master thesis, a certificate of study/transcript of records, the addresses of two possible referees, and should be submitted via the Leibniz-HKI online application system. The deadline for the advertisement is December 15, 2023, but applications will be reviewed on a rolling basis.