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.

News

Events

26.05.2021

NCII 2021 - Novel Concepts in Innate Immunity

Digital Conference, May 26—28, 2021

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27.05.2021

Alexander Titz, tba

Joint Microbiological Colloquium, 27.05.2021 | 12:30 pm

Read more

Open Positions

PhD Position in Synthetic Organic Chemistry/Natural Products Chemistry

PhD Position (E13 TV-L, 50%) in Synthetic Organic Chemistry/Natural Products Chemistry

The research group NatResource at the Eberhard Karls University Tübingen is looking for a PhD student (m/f/d) to discover new bacterial natural products using techniques in analytical chemistry and chemical synthesis. We are a young and highly motivated research team at the interface of natural products isolation and synthetic organic chemistry with special interest in finding new antibiotics.

As part of a grant from the German Center for Infection Research (DZIF), we seek an enthusiastic scientist with a Master’s degree in Synthetic Organic Chemistry, Natural Products Chemistry, Microbiology, Biochemistry, or closely related disciplines. The project is focused on finding new lead compounds for the treatment of bacterial infections. Candidates are expected to be highly interested in organic chemistry and natural products.

The position is initially funded for 3 years.

Interested scientists should submit their application documents (CV, motivation letter, two references, grade transcripts) as a single PDF-file via email to: chambers.hughesspam prevention@uni-tuebingen.de by May 31st 2021.

The website of the PI can be found at https://www.hughesresearchgroup.de/.

Equal opportunities are an integral part of our personnel policy; we therefore particularly encourage qualified women to apply. Disabled persons with otherwise equal qualifications are given priority.

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 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

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