Über das Exzellenzcluster CMFI

Mikrobielle Gemeinschaften, sogenannte Mikrobiome, besiedeln die Oberflächen des menschlichen Körpers. Neben Bakterien, die die menschliche Gesundheit positiv beeinflussen, finden sich im Mikrobiom auch potenziell tödliche Krankheitserreger. Gegen diese Erreger wurden in den vergangenen Jahrzehnten oft Breitbandantibiotika eingesetzt. Inzwischen ist klar, dass dadurch nicht nur die Entstehung von Antibiotikaresistenzen gefördert, sondern in vielen Fällen auch das Mikrobiom als Ganzes geschädigt wird. Die Forscherinnen und Forscher des Exzellenzclusters „Kontrolle von Mikroorganismen zur Bekämpfung von Infektionen“ wollen zur Kontrolle von Infektionen nun eine neue Strategie entwickeln.

Ihr Ziel ist es, neue zielgerichtete Wirkstoffe zu entwickeln, die sich positiv auf Mikrobiome auswirken. So ist bekannt, dass nützliche Bakterien ihre gefährlichen Artgenossen in Schach halten können. Um die zugrundeliegenden Mechanismen zu verstehen und nutzbar zu machen, sollen im Rahmen des Exzellenzclusters Forscherinnen und Forscher aus molekularen, bioinformatischen und klinischen Disziplinen zusammenarbeiten. Sprecher des Clusters sind Professor Andreas Peschel und Professorin Heike Brötz-Oesterhelt vom Interfakultären Institut für Mikrobiologie und Infektionsmedizin der Universität Tübingen sowie Professorin Ruth Ley, Direktorin des Max-Planck-Instituts für Entwicklungsbiologie. Beteiligt sind zudem das Universitätsklinikum Tübingen und das Deutsche Zentrum für Infektionsforschung (DZIF).

News

Veranstaltungen

21.06.2021

VAAM/DGHM Symposium Microbial Pathogenicity

Symposium, World Microbe Forum 2021, 21.06.2021 | 9:00 Uhr

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21.06.2021

2. Life Science Symposium 2021

Symposium, Nationale Akademie der Wissenschaften Leopoldina, 21.06.2021 | 9:00—18:00 Uhr

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24.06.2021

Jörn Piehl, tba

Mikrobiologisches Kolloquium, 24.06.2021 | 12:30 Uhr

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Aktuelle Stellenausschreibungen

PhD Student (EN)

 

 

The Functional Metabolomics Lab, part of the Cluster of Excellence “Controlling Microbes to Fight Infections” (CMFI) at the University of Tübingen, aims to understand and control microbial communities in order to contribute to the fight against infections. The group uses a multidisciplinary approach at the interface of natural product research, mass spectrometry-based metabolomics, and proteomics as well as chemical biology (www.functional-metabolomics.com).

The lab's science mission is to develop and apply mass spectrometry-based tools to systematically determine the role of small molecules in complex microbial communities and to mine them for novel bioactive compounds. For the development and application of native mass spectrometry and bioactivity guided metabolomics methods we are looking for a:

PhD Student (f/m/d)

The project will focus on the method development and application of native MS, HPLC fractionation, and bioactivity-guided approaches in combination with non-targeted metabolomics for the screening of culture extracts and environmental samples.

For the position, we offer salary according to TV-L, E13 (65%). Besides supportive mentoring and guidance for your individual career development, we provide detailed scientific training on state-of-the-art equipment and open, community-focused science communication. Beyond scientific publications, this will include conference visits, organization and attendance of workshops and possible research visits to other universities and field sites.

As part of the Cluster of Excellence CMFI in Tübingen you will be located in an excellent research environment with plenty of potential collaboration partners, a high amount of autonomy, and possibilities to develop your own research ideas.

At the time of employment, the candidate should have a masters or equivalent degree in chemistry, biochemistry, biotechnology, or a related field. We expect that the candidate is interested in highly interdisciplinary research, has an independent, responsible and committed work attitude, and is fluent in (scientific) English.

We expect good knowledge of bioanalytical techniques, in particular mass spectrometry as well as biochemistry and/or microbiology.

Ideally, the candidate will bring basic statistical and computational skills (e.g., scripting in Python, R, or MATLAB) and an interest to learn computational methods for mass spectrometry data analysis.

Applications or questions about the position should be sent to daniel.petrasspam prevention@uni-tuebingen.de.

Please send your application as a single PDF file that includes: a brief statement on your interests and experience; your CV; contact information for two academic references; and university transcripts.

The University of Tübingen is an Equal Opportunity Employer with a strong institutional commitment to excellence through diversity. All qualified applicants will be considered for employment without regard to gender, race, color, national origin, sexual orientation, religion, disability, or age.

The review of applications will begin in August 2021 and will continue until the position is filled.

 

Postdoctoral Researcher (EN)

 

The Functional Metabolomics Lab, part of the Cluster of Excellence “Controlling Microbes to Fight Infections” (CMFI) at the University of Tübingen, aims to understand and control microbial communities in order to contribute to the fight against infections. The group uses a multidisciplinary approach at the interface of natural product research, mass spectrometry-based metabolomics, and proteomics as well as chemical biology (www.functional-metabolomics.com).

The lab's science mission is to develop and apply mass spectrometry-based tools to systematically determine the role of small molecules in complex microbial communities and to mine them for novel bioactive compounds. To build up the mass spectrometry pipeline, we are looking for a:

Postdoctoral Researcher (f/m/d)

to work on method development and application of tandem MS and native MS approaches for the analysis of culture extracts and environmental samples, as well as the bioinformatic data analysis.

For the position, we offer salary according to TV-L, E13 (100%). Besides supportive mentoring and guidance for your individual career development, we provide detailed training and access to state-of- the-art equipment and open, community-focused science communication. Beyond scientific publications, this will include conference visits, organization and attendance of workshops and possible research visits to other universities and field sites.

As part of the Cluster of Excellence CMFI in Tübingen, you will be working in an excellent research environment with plenty of potential collaboration partners, a high amount of autonomy, and possibilities to develop and apply for funding for your own research ideas. The main focus of the position will be on research (no formal teaching duties); however, there will be the possibility to participate in college level teaching and mentoring of bachelor and master students.

At the time of employment, the candidate should have a PhD degree in analytical chemistry, biochemistry, biotechnology, or a related field. We expect that the candidate will be interested in highly interdisciplinary research; has an independent, responsible, and committed work attitude and is  fluent in (scientific) English.

We expect strong knowledge of and interest to develop bioanalytical techniques, in particular high- resolution mass spectrometry-based approaches (such as metabolomics, proteomics, or structure elucidation).

Ideally, the candidate will bring fundamental statistical and computational skills (e.g., scripting in Python, R, or MATLAB) and an interest to broaden their use of computational methods for mass spectrometry data analysis.

Applications and inquiries should be sent to daniel.petrasspam prevention@uni-tuebingen.de.

Please send your application as a single PDF file that includes: a brief statement on your interests and experience; your CV (including a list of publications); contact information for two academic references; and university transcripts.

The University of Tübingen is an Equal Opportunity Employer with a strong institutional commitment to excellence through diversity. All qualified applicants will be considered for employment without regard to gender, race, color, national origin, sexual orientation, religion, disability, or age.

The review of applications will begin in August 2021 and will continue until the position is filled.

CMFI Early Career Research Program
Grant (EN)

 

CMFI Early Career Research Program

The Cluster of Excellence “Controlling Microbes to Fight Infections (CMFI)” at the University of Tübingen aims to support outstanding scientists early in their careers and to stimulate research in the areas of interest of the Cluster. Towards this goal we are offering:

Postdoctoral Fellowships

Eligible Applicants

  • PhD obtained within the last 4 years but not in Tübingen
  • a good knowledge of English
  • peer reviewed publications in academic journals with at least one first authorship
  • currently not working in Tübingen *

 

Applicants must present a mentoring agreement by an academic host within the Cluster of Excellence CMFI.

 

Funding

  • 24 months with a salary according to TV-L E13 
  • 10.000 € consumables per year
  • extension up to 12 months possible

 

How to apply

Interested Applicants can get in touch with principal investigators within the Cluster of Excellence CMFI (https://uni-tuebingen.de/de/173847) and find an academic host. Subsequently, they have to develop a research project in agreement with their academic host and send the proposal to lisa.bleulspam prevention@med.uni-tuebingen.de.

 

Documents to be submitted

  1. Planned research project (max. 5 pages including references)
  2. CV with list of publications
  3. Motivation letter including career planning (max. 1 page)
  4. Mentoring agreement by the CMFI host, including a statement on the qualification of the applicant and the proposed research project

 

Downloads:

Questionnaire for the statement of the CMFI host

Hosting agreement

 

* or current research stay in Tübingen no longer than 6 months (this time will be deducted from the total duration of funding)

Postdoctoral Researchers in Mathematical and Computational Population Genetics (EN)

The newly founded independent junior research group Mathematical and Computational Population Genetics headed by Franz Baumdicker at the University of Tuebingen has an opening for

Postdoctoral Researchers (f/m/d)

The group develops and applies mathematical models and bioinformatic tools with a special focus on microbial evolution. We are interested in a variety of evolutionary scenarios including CRISPR Cas Evolution, Pan-Genome Evolution, Horizontal Gene Transfer, Fluctuation Selection, and Cooperation in Bacteria. The postdoc will work at the intersection of Mathematical Population Genetics / Computational Biology / Bioinformatics using mathematical population genetics, phylogenetics, statistical analysis, machine learning algorithms, and large scale simulations to derive new theoretical results, develop open source software and apply them to (microbial) genome data.
For scientific questions please contact fbaumdicker@gmx.de.
Candidate profiles we would love to see:
– PhD degree in (Bio-)Mathematics, Statistics, Bioinformatics, Computational Biology or a related field
– Interest in interdisciplinary research
– Strong mathematical preparation and interest
– Good computational skills (e.g. in Python, R)
– Independent, responsible and committed work
– Fluency in (scientific) English
What we offer:
– Salary according to TV-L, E13 (100%)
– The group is part of two Excellence Clusters (Controlling Microbes to Fight Infections & Machine Learning) in Tuebingen, which offers an excellent research environment with plenty of potential collaboration partners.
– Flexible starting date and possibility to start the project remotely in the initial phase
– Focus on research (no formal teaching duties)
– Responsibility to conduct your own research projects with a high amount of autonomy
Researchers from outside Germany are particularly encouraged to apply.
Applications and inquiries should be sent to office@cmfi.uni-tuebingen.de.
Please send your application as a single PDF file and include a brief statement on your interests and experience, CV (including a possible list of publications and the contact info of two academic references), and university transcripts. Severely disabled persons are given preferential consideration if they are equally suitable.
The review of applications will begin in October 2020 and continues until the positions are filled.

job offer as PDF

PhD Students in Mathematical and Computational Population Genetics (EN)

The newly founded independent junior research group Mathematical and Computational Population Genetics headed by Franz Baumdicker at the University of Tuebingen has an opening for

PhD Students (f/m/d)

The group develops and applies mathematical models and bioinformatic tools with a special focus on microbial evolution. We are interested in a variety of evolutionary scenarios including CRISPR-Cas Evolution and Dynamics, Pan-Genome Evolution, Horizontal Gene Transfer, Fluctuation Selection, and Cooperation in Bacteria. The PhD students will work at the intersection of Mathematical Population Genetics / Computational Biology / Bioinformatics using mathematical population genetics, phylogenetics, statistical analysis, machine learning algorithms, and large scale simulations to derive new results, develop open source software and apply them to (microbial) genome data.
For scientific questions contact fbaumdicker@gmx.de.
Candidate profiles we would love to see:
– Master’s degree in (Bio-)Mathematics, Statistics, Bioinformatics, Computational Biology or a related field
– Interest in interdisciplinary research
– Strong mathematical preparation and interest
– Good computational skills (e.g. in Python, R)
– Independent, responsible and committed work
– Fluency in (scientific) English
What we offer:
– Salary according to TV-L, E13 (65%)
– Dissertation at the Faculty of Natural Sciences working with two advisors
– The group is part of two Excellence Clusters (Controlling Microbes to Fight Infections & Machine Learning) in Tuebingen, which offers an excellent research environment with plenty of potential collaboration partners.
– Integration into the DFG priority programme SPP2141, where appropriate
– Focus on research (no formal teaching duties)
– Responsibility to conduct your own research projects with a high amount of autonomy
Researchers from outside Germany are particularly encouraged to apply.
Applications and inquiries should be sent to office@cmfi.uni-tuebingen.de.
Please send your application as a single PDF file and include a brief statement on your interests and experience, CV (including a possible list of publications and the contact info of two academic references), and university transcripts. Severely disabled persons are given preferential consideration if they are equally suitable.
The review of applications will begin in October 2020 and continues until the positions are filled.

job offer as PDF

Naturwissenschaftliche:r Doktorand:in

Das Exzellenz-Cluster EXC 2124 “Controlling Microbes to Fight Infections” an der Universität Tübingen stellt ein:

Naturwissenschaftliche:r Doktorand:in (m, w, d)

Medizinische Mikrobiologie und Hygiene,

im Bereich Interaktion von Pseudomonas aeruginosa mit anderen Gram-negativen Bakterien

Die Einstellung ist zum 01.11.2020 mit TV-L E13, 65% geplant, die Vertragszeit ist auf 3 Jahre befristet.

Geeignete Kandidaten haben einen Master-Abschluss oder einen gleichwertigen Abschluss in einem naturwissenschaftlichen Fach (Biologie, Biochemie o. ä.). Kenntnisse im Bereich Molekularbiologie und Mikrobiologie in Theorie und Praxis sind wünschenswert, aber keine Voraussetzung. Unser junges Team legt großen Wert auf soziale Kompetenz, Teamgeist, Engagement und begrüßt selbstständiges Denken und Arbeiten. Wir bieten Ihnen ein interessantes Thema, ein modernes Arbeitsumfeld mit gut ausgestatteten Labors, ein breites Methodenspektrum und eine gründliche Einarbeitung in alle Methoden.

Thema:
Pseudomonas aeruginosa ist ein opportunistischer Erreger, der häufig assoziert ist mit polymikrobiellen Infektionen, wie z.B. bei chirurgischen oder diabetischen Fußwunden und zystischer Fibrose. Die Interaktion solcher polymikrobieller Gemeinschaften kann sowohl mutualistisch als auch parasitisch sein und führt insgesamt oft zu einer erhöhten Virulenz.  Darüber hinaus ist P. aeruginosa häufig resistent gegen viele Antibiotika und seine Behandlung oft sehr schwierig.

Im Rahmen dieses vom Excellencluster „Controlling Microbes to Fight Infections (CMFI)“ geförderten Projektes sollen im Wesentlichen zwei Aspekte polymikrobieller Infektionen mit P. aeruginosa untersucht werden: 1) welchen Einfluss haben spezifische Proteine von P. aeruginosa auf dessen Fähigkeit, in polymikrobiellen Gemeinschaften bestehen zu können und 2) welche Rolle spielen diese Proteine für die Ausbildung von Resistenz gegenüber bestimmten Antibiotika. Ziel dieses Projektes ist es, mögliche Angriffspunkte für die Entwicklung neuartiger Therapien zur Behandlung von polymikrobiellen Infektionen insbesondere mit multiresistenten P. aeruginosa zu definieren. 

Schwerbehinderte werden bei gleicher Eignung vorrangig berücksichtigt. Die Universität Tübingen strebt eine Erhöhung des Anteils von Frauen beim wissenschaftlichen Personal an und bittet deshalb entsprechend qualifizierte Wissenschaftlerinnen nachdrücklich um ihre Bewerbung. Die Einstellung erfolgt über die Verwaltung des Klinikums.

Bitte richten Sie Fragen und Ihre Bewerbung mit den üblichen Unterlagen unter Angabe der Kennziffer CMFI_Bohn per email (alle Unterlagen zusammengefasst in eine einzige pdf-Datei) an:

PD Dr. rer. nat. Erwin Bohn
Universitätsklinikum Tübingen
Institut für Medizinische Mikrobiologie und Hygiene
Elfriede-Aulhorn-Str. 6
72076 Tübingen
erwin.bohn@med.uni-tuebingen.de