About the Cluster of Excellence CMFI

The surfaces of the human body host colonies of microorganisms, known as microbiomes. Along with bacteria which have a positive effect on human health, microbiomes contain potentially life-threatening pathogens. In the past, broad-spectrum antibiotics have often been used to tackle them. Nowadays it is known that this not only promotes resistance to antibiotics – in many cases it also damages the microbiome as a whole. Researchers in the Cluster of Excellence "Controlling Microbes to Fight Infections" aim to develop a new strategy to control infections.

Their goal is to find new, targeted agents which will have a positive effect on the microbiome. We know that useful bacteria help to keep down the harmful ones. In order to understand and exploit the underlying mechanisms, the Cluster of Excellence will bring together researchers from the fields of molecular, bioinformatics and clinical disciplines. The speakers of the Cluster are professor Andreas Peschel and professor Heike Brötz-Oesterhelt of the Interfaculty Institute of Microbiology and Infection Medicine at the University of Tübingen, along with professor Ruth Ley, Director of the Max Planck Institute for Developmental Biology. The University Hospital Tübingen and the German Center for Infection Research (DZIF) are also partners in the Cluster.

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Open Positions

Doktorandenstelle
BMBF Verbundprojekt "7dSh" (DE)

 

Im Rahmen eines BMBF Verbundprojektes zum Thema:

„7dSh – ein natürlicher Zucker aus Blaualgen auf dem Weg zum nachhaltigen Herbizid“

 ist zum nächstmöglichen Zeitpunkt eine

Doktorandenstelle (65 %, E13)

für 3 Jahrezu besetzen.

 

Das Projekt ist Teil eines Forschungsverbundes mit dem Ziel, den Naturstoff 7-Desoxisedo-heptulose (7dSh) zu einem nachhaltigen und umweltschonenden Herbizid zur Anwendung in intelligenter integrierter Landwirtschaft zu entwickeln.

Das Projekt beinhaltet eine enge interdisziplinäre Zusammenarbeit mit dem Zentrum für Molekularbiologie der Pflanzen (ZMBP Tübingen) und der FH Bielefeld (Verfahrenstechnik). Ziel ist die genaue Charakterisierung des Wirkortes des neuartigen Wirkstoffs 7dSh mittels molekulargenetischer und biochemischer Methoden sowie die Identifizierung des natürlichen 7dSh Abbaus durch Bodenmikroorganismen.

Gesucht werden Kandidaten mit abgeschlossenem Master/Diplomstudium, bevorzugt im Bereich Mikrobiologie, Biochemie, molekulare Pflanzenwissenschaften oder ähnlichem, die ein großes Interesse an Naturstoffforschung haben. Hilfreich sind Kenntnisse in Molekulargenetik und Enzymcharakterisierung. Erforderlich sind hohe Motivation, Eigeninitiative und Fähigkeit zur interdisziplinären Zusammenarbeit. Weibliche Kandidatinnen werden nachdrücklich aufgefordert, sich zu bewerben. Schwerbehinderte werden bei gleicher Eignung bevorzugt berücksichtigt.

Die Doktorandenstelle ist eingebunden im Forschungsfeld des Interdisziplinären Instituts für Mikrobiologie und Infektionsmedizin (IMIT) im Exzellenzcluster „Controlling Microbes to Fight Infections“ (CMFI). Das Institut bietet dadurch eine erstklassige Infrastruktur, ein strukturiertes Promotionsprogramm (Interfaculty Graduate School IGIM) mit reichhaltigen Fortbildungsmöglichkeiten sowie eine internationale Wissenschaftsatmosphäre.

 

Weitere Auskünfte erteilt:

Prof. Karl Forchhammer:

karl.forchhammerspam prevention@uni-tuebingen

 

Bewerbungen mit den üblichen Unterlagen (CV, Zeugnisse, Transcript of Record etc. schriftlich oder per e-mail) sind bis 15.8.2021 zu richten an:

Prof. Dr. Karl Forchhammer

Lehrstuhl für Mikrobiologie/

Organismische Interaktionen

Auf der Morgenstelle 28, 72076 Tübingen

Tel: +49 7071 2972096

Fax: +49 7071 295843

karl.forchhammerspam prevention@uni-tuebingen

Tenure-Track Professor for Drug-Microbiome Interaction

The Biology branch for the Faculty of Science at Tübingen University

invites applications for the position of a

 

Tenure-Track Professor for Drug-Microbiome Interaction

 

within the framework of the Cluster of Excellence EXC 2124 “Controlling Microbes to Fight Infections” (CMFI) at the Interfaculty Institute of Microbiology and Infection Medicine Tübingen

The position is available immediately.

 

 

The CMFI studies functional interactions in complex microbial communities, the microbiomes, with emphasis on bacterial pathogens and antibiotic resistance. It is a world-leading interdisciplinary research institution awarded as a Cluster of Excellence by the German Excellence Strategy. The CMFI combines more than 40 laboratories at the University of Tübingen, the University Hospital Tübingen, and the Max Planck Institute for Developmental Biology in a stimulating, highly interactive research environment, covering molecular, ecological, immunological, compound-focused, computational, and clinical research.

 

 

Required qualifications include an outstanding doctorate in a pertinent field, a documented record of internationally competitive, functional research related to the impact of therapeutic drugs on the human microbiome and modification of drugs and their efficacy by metabolic activities of the microbiome as well as teaching experience. Contributions to other cluster themes and to further research networks of the German Research Foundation and the German Center for Infection Research along with successful acquisition of substantial extramural research funding is also expected. For further information on the EXC 2124 please visit: www.controlling-microbes.com

The successful candidate is expected to contribute to teaching in Bachelor and Masters’ courses related to the CMFI. The position has a teaching load of four hours per week prior to interim evaluation, and six hours thereafter.

Applicants for a tenure-track professorship with a PhD from Tübingen must have changed universities after completing their doctorates or have worked in academia for at least two years somewhere other than the University of Tübingen. Those who have completed a habilitation will be excluded.

This tenure-track position is subject to an interim evaluation after four years and a final evaluation after six years. If the final evaluation after six years is positive, this professorship will be upgraded to a full (W3) professorship with no re-advertising of the position. Detailed information on the criteria underlying the interim evaluation and promotion to the tenured position may be found in our guidelines for tenure review under the following link: https://uni-tuebingen.de/en/faculties/faculty-of-science/faculty/service-downloads/#c608746. There you can also find information on this employment category.

 

The University of Tuebingen is particularly interested in increasing the number of women in research and teaching and therefore strongly encourages women candidates to apply. In line with its internationalization agenda, the university welcomes applications from researchers outside Germany. Applications from equally qualified candidates with disabilities will be given preference.

 

Applications with supporting documents (cover letter, curriculum vitae, list of publications and teaching experience, certificates/diplomas) as well as a teaching statement and a research statement including collaboration plans, along with the completed application form (https://uni-tuebingen.de/en/faculties/faculty-of-science/faculty/service-downloads/#c608746) should be sent by email as a single PDF-file (max 10 MB) to the Dean of the Faculty of Science, University of Tuebingen, Germany (officespam prevention@cmfi.uni-tuebingen.de) by August 6, 2021. Enquiries may be directed to this address.

 

Downloads:

Application Form
Application Form

Evaluation Criteria (in German)
W1 Drug-Microbiome Interaction

Quality Assurance Plan
Quality Assurance Plan according to § 48 para. (1) item (4) LHG for assistant professorships with tenure track and evaluation statute regarding assistant professors and junior lecturers

 

PhD Student

 

 

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

 

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

 

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

 

The newly founded independent junior research group „Mathematical and Computational Population Genetics“, headed by Franz Baumdicker at the University of Tübingen 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, Fluctuationg Selection, and Cooperation in Bacteria.

The postdoc should be interested to operate 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 mathematical results, develop open source software and apply them to (microbial) genome data.

For scientific questions please contact: franz.baumdicker@uni-tuebingen.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 and/or 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 Tübingen, which offers an excellent research environment with plenty of potential collaboration partners.
  • Flexible starting date and the possibility to start the project remotely in the initial phase
  • Focus on research (no formal teaching duties)
  • Intense personal and scientific mentoring in an open and supportive environment
  • Integration into a young and agile research group
  • Responsibility to conduct your own research projects with a high amount of autonomy
  • The opportunity to visit and organize conferences, workshops and research visits to other universities and summer schools.
  • Possibilities to develop your own research ideas and mentor Ph.D. students

 

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. Researchers from outside Germany are particularly encouraged to apply.

Applications and inquiries should be sent to franz.baumdickerspam prevention@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.

The review of applications will begin in July 2021 and continue until the positions are filled.

PhD students in Mathematical and Computational Population Genetics

 

The newly founded independent junior research group „Mathematical and Computational Population Genetics“ headed by Franz Baumdicker at the University of Tübingen 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.

The PhD students will work at the intersection of Mathematical Population Genetics / Computational Biology / Bioinformatics using 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.

We are interested in a variety of evolutionary scenarios including CRISPR-Cas Evolution and Dynamics, Pan-Genome Evolution, Horizontal Gene Transfer, Fluctuationg Selection, and Cooperation in Bacteria.

For scientific questions please contact: franz.baumdicker@uni-tuebingen.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 and/or 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 Tübingen, which offers an excellent research environment with plenty of potential collaboration partners.
  • Possibly integration into the DFG priority programme SPP2141, where appropriate
  • Focus on research (no formal teaching duties)
  • Intense personal and scientific mentoring in an open and supportive environment
  • Integration into a young and agile research group
  • The opportunity to visit conferences, workshops, other research groups and summer schools.
  • Responsibility to conduct your own research projects with a high amount of autonomy
  • Possibilities to develop your own research ideas in a young and agile team


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. Researchers from outside Germany are particularly encouraged to apply.

Applications and inquiries should be sent to franz.baumdickerspam prevention@uni-tuebingen.de.

Please send your application as a single PDF file and include- brief statement on the applicant's interests and experience, CV (including a possible list of publications and the contact info of two academic references), and university transcripts.

The review of applications will begin in July 2021 and continue until the positions are filled.