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PhD project in “Systems biology approach for elucidating bacterial revival after antibiotic treatment”

Project description

Resistance of bacterial pathogens to antibiotics is a serious threat to global health, with a predicted death toll of at least 2.4 billion people worldwide in the next 30 years, and costs up to $US3.5 billion per year. New solutions to fight antimicrobial resistance are imperative, both to rescue old antibiotics and also to undermine resistance development to newly discovered ones. Antibiotic tolerance – a transient physiological state where bacteria can tolerate antibiotics without being resistant – is increasingly associated with the raise of resistance. Tolerant bacteria survive antibiotic treatment, and once the antibiotic is removed they are able to resume growth, thus leading to relapsing infections. The aim of this project is to elucidate molecular mechanisms of bacterial revival of the enteric pathogen Salmonella Typhimurium after antibiotic treatment using systems biology approaches. This project is an excellent opportunity for students who want to develop their computational skills in tight combinabion with experiments in bacterial genetics and physiology. We are a dynamic, highly collaborative, multidisciplinary team with access to cutting-edge robotic platforms, thus our lab offers the perfect environment for such projects. We welcome applications from highly motivated students eager to explore exciting and innovative ideas. Your background can be from broad disciplines ranging from Biology to Computer Science. Don’t hesitate to get in touch if you want to find out more. In fact, you are encouraged to do so!


Pathogenic Bacteria, Antibiotics, Genomics, Systems Biology, High-throughput Screening

Entry requirements

MSc. Degree in Biotechnology, Bioinformatics, Biology, Molecular Biology, Computer Science or similar


Chair of Microbiology, University of Würzburg, Germany

Starting date

September 2021 (flexible)


Limited to 3 years

How to apply

Please apply via the HFA application portal.

The Hector Research Career Development Awardees will arrange interviews (via skype or if feasible in-person) with the most promising applicants. The final candidates will be invited for a personal presentation on July 8, 2021 in Bremen (Germany). The final decisions will be announced by August 2021.

Application Deadline

April 15th, 2021


For questions related to making your application, please contact Hector Fellow Academy Office: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein! or

Doctoral Position in Systems Immunology & Data Sciences

The start date is May 1st, 2021 or by agreement. The position is available until January 31, 2023 with the aim for extension towards the finalization of your doctoral degree.

The University of Konstanz is one of the eleven Excellence Universities in Germany. Since 2007 it has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy.

This position is an exciting opportunity for you, if you wish to develop strong data science skills and gain knowledge in molecular immunology by conducting bioinformatics research towards a better understanding of immune cell identity and function. The position is available within the newly established research group of Tenure Track Prof. Dr. Andreas Gruber, which has a focus on developing and applying data science approaches to study gene expression regulation in health and disease (further information:

Amongst others, you will be using computational tools to analyze bulk as well as single-cell RNA sequencing data of immune cells aiming to study the transcriptional programs that regulate isoform diversity observed across immune cell subpopulations. The results of your work will contribute to current efforts to better understand the molecular mechanisms underlying immune cell function as well as immune cell-associated diseases, such as auto-immune disorders, but also cancers. You will also have the opportunity to work on your own data science approaches / tools, as required, and contribute to research collaborations of the lab. If you have some experience in programming and/or analyzing data and you would like to conduct a doctoral thesis with a focus on data sciences and systems immunology, we are looking very much forward to your application!

Your Competencies

 - A Master or equivalent in a relevant field (e.g. Bioinformatics, Informatics, Molecular Biology, Biotechnology, Biology, Statistics, Data Sciences)

 - Ability to work independently and as part of a team (in English language)

 - Passion to analyse large high-throughput sequencing datasets

 - Some experience in programming and/or analysing data (e.g. using R or Python)

Your responsibilities

 - Analyze data from high-throughput sequencing experiments

 - Explore and select appropriate data analysis approaches

 - Implement and document sequencing data analysis workflows

 - Apply and develop your own data science tools and approaches

 - Interpret analysis results and contribute to publications, presentations and funding proposals of the lab

We Offer

 - Excellent development opportunities, extensive training and an attractive remuneration package

 - An exciting interdisciplinary working environment at the interface of data sciences and molecular cell biology

 - The opportunity to extend your data science and informatics skill set, while gaining knowledge in systems immunology and the molecular basis of health and disease

If you have any additional questions, please get directly in contact via e-mail: andreas.j.gruber [.at.] uni-konstanz [.dot.] de

Please submit your application (motivation letter, CV, degree certificates incl. grades) in one single pdf file until March 11, 2021 via the Online Application Portal of the University of Konstanz:

PhD Position: Modeling microbial interactions in marine ecosystems

We are offering a PhD position (E13 TV-L HU, 65%) at the Institute for Theoretical Biology (ITB) of the Humboldt-University of Berlin.

The project seeks to understand (the evolution of) metabolic interactions between phototrophic and heterotrophic microorganisms and the "self-organization" of ecosystems. The tasks for the PhD project are primarily computational and include reconstruction and constraint-based analysis of genome-scale metabolic models of microbial organisms, in particular cyanobacteria.

The project is inspired by recent works that provide novel insights into phototroph-heterotroph interactions and division of labour in marine ecosystems. In collaboration with experimental partners, our aim is to develop quantitative computational models that explain the trade-offs and metabolic prerequisites of such interactions. In particular, our hypothesis is that the concept of "cellular resource allocation" offers a unique and novel angle to understand the constraints and energetic trade-offs that govern the emergence of dependencies between photo- and heterotrophic microorganisms. The planned work directly builds upon our recent works to describe microbial/cyanobacterial resource allocation and growth:

- Sharma S and Steuer R (2019) Modeling microbial communities using biochemical resource allocation analysis. J. R. Soc. Interface 16: 20190474.
- Zavřel T et al. (2019) Quantitative insights into the cyanobacterial cell economy. eLife 2019;8:e42508
- Reimers AM et al. (2017) Cellular trade-offs and optimal resource allocation during cyanobacterial diurnal growth. Proc Natl Acad Sci U S A. pii: 201617508.

In addition to the usual requirements (a passion for the topic, a university degree (typically M.Sc. in an appropriate field), very good programming skills in python or matlab, ...), the ideal candidate would have some experience with/strong interest in computational models of metabolism, constraint-based analysis of metabolism, biochemistry, comparative genomics and/or related concepts.  

The formal call and further instructions are available on the webpage of the HU (in german only, Reference: DR/012/21, the german text takes precedence):

The position will be embedded into the highly collaborative scientific environment here at the Institute for Theoretical Biology (ITB) in the center of Berlin, and offers further training opportunities, as well as the possibility to visit and work closely with our experimental partners.

Deadline for applications is March 2, 2021.

I am happy to also answer any questions or informal enquiries (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) and would also encourage any students who are interested to send me an informal email.


PostDoc Bioinformatik & Machine Learning für das Projekt „Glycosid Produktion“

An der Professur für Bioinformatik ( am TUM Campus Straubing für Biotechnologie und Nachhaltigkeit als kooperierende Forschungseinrichtung der Hochschule Weihenstephan-Triesdorf sowie der Technischen Universität München, ist vorbehaltlich der endgültigen Zuwendung seitens des Projektträgers, folgende Vollzeitstelle zu besetzen:

Wissenschaftliche Mitarbeiterin/Wissenschaftlicher Mitarbeiter (m/w/d) für das Projekt "Glycosid Produktion"

Die Stelle ist befristet bis zum 31.12.2022.

Ihr Aufgabengebiet:
Wir suchen einen hochmotivierten, exzellenten Bewerber (m/w/d) als Postdoktoranden (m/w/d) im Be- reich Bioinformatik und des maschinellen Lernens, um die kürzlich gegründete Synthetic Biology Foundry der TUM am Campus Straubing weiterzuentwickeln (SynBiofoundry@TUM). Hierfür sollen neuartige bioinformatische Methoden und Verfahren des maschinellen Lernens zur Analyse von komplexen biologischen Daten entwickelt werden:

  • Sie unterstützen die Weiterentwicklung der Infrastruktur der Synthetic Biology Foundry und helfen bei der Etablierung ein standardisiertes Setup zur Automatisierung eines Hochdurchsatz Design- Build-Test-Learn Zyklus
  • Sie arbeiten in enger Zusammenarbeit mit unseren Industriepartnern an projektrelevanten For- schungsfragen im Learn Cycle
  • Sie entwickeln neuartige bioinformatische Algorithmen und Machine Learning Methoden zur Analyse von unterschiedlichen biologischen Daten, insbesondere von OMICS Daten (z. B. DNAseq, RNAseq)
  • Sie entwickeln und erweitern Cloud-basierte Webanwendungen und Datenbanken zur Analyse biologischer Daten
  • Sie schreiben wissenschaftliche Veröffentlichungen und präsentieren wissenschaftliche Ergebnisse auf internationalen Konferenzen

Ihr Profil:
Sie haben Interesse an eigenständigem wissenschaftlichen Arbeiten. Darüber hinaus arbeiten Sie ziel- orientiert, verfügen über ein analytisches Denkvermögen sowie eine wissenschaftliche Neugier und sind teamfähig. Des Weiteren besitzen Sie fundierte Englischkenntnisse in Wort und Schrift sowie hervorra- gende Programmierkenntnisse, vorzugsweise in Python, C/C++. Exzellente Kenntnisse in den Berei- chen Bioinformatik, der Analyse von OMICS Daten (insbesondere von RNASeq Daten) und des ma- schinellen Lernens runden Ihr Profil ab.

Sie besitzen ein abgeschlossenes wissenschaftliches Hochschulstudium (Diplom [Uni] oder Master) und einen Doktor im Bereich der Bioinformatik, Biotechnologie, Informatik, Statistik oder in einem vergleich- baren Studiengang.

Wir bieten Ihnen:

  • Bezahlung nach dem Tarifvertrag für den öffentlichen Dienst der Länder (TV-L)
  • ein modernes Hochschulumfeld
  • ein spannendes, vielseitiges und verantwortungsvolles Tätigkeitsfeld
  • kollegiale Zusammenarbeit und vielfältige Austauschmöglichkeiten
  • die Möglichkeit zur Fort- und Weiterbildung
  • Sozialleistungen nach den Regelungen des Tarifvertrages für den öffentlichen Dienst der Länder (TV-L), insbesondere zusätzliche Altersversorgung sowie Jahressonderzahlungen
  • attraktive Nebenleistungen wie ein Jobticket für den öffentlichen Personenverkehr, vermögenswirksame Leistungen
  • ein wachsendes Angebot im Rahmen eines Behördlichen Gesundheitsmanagements
  • ein familienfreundliches Arbeitsumfeld mit flexiblen Arbeitszeiten

Die Einstellung soll zum nächstmöglichen Zeitpunkt erfolgen. Die Bezahlung erfolgt nach den tarifrecht- lichen Bestimmungen, bei Vorliegen der persönlichen Voraussetzungen bis Entgeltgruppe 13 TV-L. Die Tätigkeit ist unter Berücksichtigung der dienstlichen Erfordernisse grundsätzlich auch für eine Teilzeit- beschäftigung geeignet. Bei ansonsten im Wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung werden schwer- behinderte Menschen bevorzugt eingestellt. Die Bewerbung von Frauen wird ausdrücklich begrüßt.

Sie wollen Teil unseres Teams werden?
Wir freuen uns auf Ihre Bewerbung über unsere Homepage ( mit Anschreiben, Lebenslauf und Zeugnissen sowie Liste an Publikationen und Kontaktinformation von drei Referenzen bis zum 15.03.2021. Bitte bewerben Sie sich ausschließlich über den Button "Auf diese Stelle bewerben" (Online-Formular). Bewerbungen per Post oder per E-Mail werden nicht berücksichtigt.

Webseite der Forschungsgruppe:

Webseite der SynBiofoundry@TUM:

Online Stellenportal:

Bioinformatician within large metastasis research consortium

The Transregio TRR 305 is a DFG-funded collaborative research consortium between the Universities of Regensburg, Erlangen, and the Fraunhofer Society ( It focuses on the mechanisms of early metastasis formation with the goal to identify novel therapies to effectively treat systemic cancer. It will become one of the largest metastasis research consortia in Europe with an expected duration of 12 years. It comprises 18 research and three core projects. For the core project Z01, we are looking for an enthusiastic and dedicated

Bioinformatician (m/f/d)

based in Erlangen to support project partners in the bioinformatics analysis of omics data.

Your role

Your tasks will include setting up and maintaining pipelines for sequencing data analyses (bulk and single-cell RNA-Seq, ATAC-Seq, ChIP-Seq) as well as closely interacting with CRC project partners to support post-processing analyses of omics data (e.g. functional enrichment, visualisation and interpretation of results, data integration with publicly available datasets, preparation of publication-ready figures).

The ideal candidate

The successful candidate will have a PhD in bioinformatics, bioengineering, computer science, or a related field (alternatively a Master’s degree and at least 3 years of relevant professional experience).

Experience with transcriptomics, genomics or epigenomics data analysis, ideally with prior experience in single-cell data analysis, are required. Additionally, familiarity with working in a Linux/Unix environment, good programming skills (e.g. Python, Perl, R), and excellent communication skills in English are needed.

The ideal candidate will also be collaborative and comfortable working with diverse projects and datasets.

Additional information

The Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg was established in 1743 and is one of the biggest universities in Germany with more than 40,000 students ( At an international level, FAU stands out as an innovative university founded on diversity with an outward-looking, international perspective. Erlangen is a family-friendly city located in northern Bavaria, former home of the Huguenots, a key location for Siemens and several other international companies.

The position is available for 4 years, with the possibility of extension. Salary will be according to German public service pay scale TVL E13. Starting date is the earliest possible time point.

Deadline for applications is 15th April 2021.

How to apply

Applications should be sent to Dr. Fulvia Ferrazzi, Institute of Pathology, FAU Erlangen-Nürnberg (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) and Wencke Wallusch (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!), and include a letter of interest, a CV (containing a list of publications, if applicable), a brief description of research experience, as well as contact information of two references.

ostDoc Position (m/f/d) in the project Nanopore sequencing for decentralized pathogen identification


Job offer ref. #11-21003


The Senckenberg Gesellschaft für Naturforschung (SGN) is a member of the Leibniz Association and is based in Frankfurt am Main, Germany. SGN conducts natural history research with almost 800 employees and research institutions in six federal states. Within SGN, the Senckenberg Biodiversity and Climate Research Centre (BiK-F) explores the interactions between biodiversity, climate, and society.


Senckenberg BiK-F invites applications for a




PostDoc Position (m/f/d) in the project


Nanopore sequencing for decentralized pathogen identification


(100 %)




The position is in the research group of Professor Marco Thines at the Senckenberg Biodiversity and Climate Research Centre. The research conducted in this group spans a wide range of disciplines and topics including cell biology, ecology, evolutionary biology, genomics and plant-pathogen interactions of oomycetes. Their aim is to gain insights in the biodiversity of oomycetes and a deeper knowledge of the evolutionary processes that have shaped oomycete diversity and their biotic interaction.


You will initially work in the project: “Securing the future of agriculture through mobile, biopore-based, universal high-throughput sequencing for the detection of plant pathogens and parasites (AGRIFUTURE)”, funded by the BMEL. 


Your profile:


·       PhD in evolutionary biology, ecology, bioinformatics, microbiology, or related field


·       Strong publication record showing keen interest in nanopore sequencing


·       Excellent communication and writing skills in English


·       Bioinformatics skills, including NGS data analysis, e.g. de novo genome assembly, metabarcoding, metagenomics, transcriptomics


·       Laboratory experience, e.g. DNA extraction, library construction


·       Creativity, ambition, analytical and collaborative skills




Salary and benefits are according to a full-time public service position in Germany (TV-H E 13, 100 %). The contract should start as soon as possible - ideally on March 15th, 2021 - and will initially be limited until 14.02.2024.


The Senckenberg Research Institutes support equal opportunity of men and women and therefore strongly invites women to apply. Equally qualified handicapped applicants will be given preference. The place of employment is in Frankfurt am Main, Germany.


Please send your application, mentioning the reference of this job offer (ref. #11-21003) before February 28th, 2021 by e-mail (attachment in a single pdf document) and including a cover letter detailing research interests and experience, a detailed CV and a copy of your certification to:


Senckenberg Gesellschaft für Naturforschung


Senckenberganlage 25


60325 Frankfurt am Main


E-Mail: Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!


For more information contact Prof. Marco Thines (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!).

Postdoctoral researcher (bioinformatician) [ITEM]

The Fraunhofer Institute for Toxicology and Experimental Medicine (ITEM) in Hannover has an opening for a Postdoctoral researcher (bioinformatician) for managing research projects in different areas of biomedical data analysis. We are looking for a highly qualified person with a PhD degree in Computer Science or Bioinformatics with expertise in biomedical data management. You will become part of a dynamic team in an exciting and innovative research environment at the interface between biotechnology, medicine and computer science.  You will significantly shape our application-oriented technological solutions and further expand the data analysis capacities at the Fraunhofer ITEM. You will use the Fraunhofer Life Science infrastructure and up-to-date information technologies.
Positions are open to all qualified persons independent of gender, disabilities, religion, etc...
Please submit your application via the Fraunhofer Recruiting portal.

Job announcement:

and ITEM homepage:

Wissenschaftlicher Mitarbeiter (m/w) im Bereich Bioinformatik (TV-H E13, 100%)

An der Professur für Systembiologie mit dem Schwerpunkt Genomik, Proteomik und Transkriptomik, Fachbereich Biologie und Chemie, ist im Rahmen des vom Land Hessen geförderten LOEWE-Schwerpunktes „Diffusible Signals – Impact on diffusible signals at human cell-microbe interfaces“ ab dem nächstmöglichen Zeitpunkt befristet bis zum 31.12.2024 eine Vollzeitstelle mit einer/einem Wissenschaftlichen Mitarbeiter/in zu besetzen. 


Im Rahmen des Teil-Projekts „Integrierte Modellierung der Mikroben-Wirts-Interaktion durch skalierbare bioinformatische Analyse-Workflows“ sind Sie verantwortlich für die

·         Software-Entwicklung zur Prozessierung und Visualisierung von umfangreichen Sequenz-Daten aus Genom und Transkriptom-Sequenzierungen inklusive der zugehörigen Metadaten

·         Entwicklung von sowohl verbesserten Auswertungsmethoden als auch adäquaten Datenstrukturen zur Speicherung und Integration der Analyseergebnisse und Metadaten um unterschiedlichste Datensätze untereinander vergleichen und kombiniert auswerten zu können

·         Entwicklung von benutzerfreundliche Visualisierungsverfahren, die eine interaktive und intuitive Exploration der Daten bis hin zur Darstellung von regulatorischen Netzwerken erlauben

·         Bearbeitung von aktuellen Fragen in Bezug auf die Bereitstellung einer flexiblen Software-Plattform zur systematischen und automatisierten Analyse von Hochdurchsatzdaten in Cloud-Computing-Umgebungen

·         bioinformatische Analyse von Hochdurchsatzdaten (Next-Generation-Sequencing, insbe­sondere RNA-Seq und Derivate) und deren systembiologische Interpretation und Visualisierung

·         Mit- und Weiterentwicklung der softwaretechnischen Infrastruktur zum Datenmanagement

·         Teilprojekt-spezifische Unterstützung bei der Datenanalyse als auch die Entwicklung neuer Softwaretools und einer web-basierten Plattform für die interaktive Visualisierung und Interpretation von Hochdurchsatzdaten



·         Abgeschlossenes wissenschaftliches Hochschulstudium im Fach Bioinformatik oder Informatik oder einem verwandten Fachgebiet mit dokumentierten Erfahrungen in bioinformatischer Grundlagenforschung und Software-Programmierung in diesem Bereich

·         Ausgewiesene Kenntnisse in Fragestellungen der modernen Hochdurchsatz-Sequenzierungs­technologien (Next-Generation Sequencing)

·         Kenntnisse im Umgang mit relationalen Datenbanken und der Implementierung von web-basierten Schnittstellen für Benutzer

·         Fähigkeiten in der Datenanalyse mit Hilfe von Workflow-Systemen (z.B. CWL, Nextflow) Erfahrung im Umgang mit Unix/Linux-Betriebssystemen

·         Sicherer Umgang mit Java und einer der folgenden Skriptsprachen: Perl, Python, Groovy

·         Praktische Erfahrungen im High-Performance-Computing und Cloud-Computing sind von Vorteil


Für Fragen steht Ihnen Herr Prof. Dr. Goesmann gerne zur Verfügung (Tel. 0641/99-35801 oder per Mail Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!).


Ihre Bewerbung (keine E-Mail) richten Sie bitte unter Angabe der Referenznummer 148/08 mit den üblichen Unterlagen bis zum 23.02.2021 an Herrn Prof. Dr. Alexander Goesmann, Professur für Systembiologie, Heinrich-Buff-Ring 58, 35392 Gießen. Bewerbungen Schwerbehinderter werden - bei gleicher Eignung - bevorzugt. Wir bitten, Bewerbungen nur in Kopie und ohne Hefter/Hüllen vorzulegen, da diese nach Abschluss des Verfahrens nicht zurückgesandt werden.


Der Link zur kompletten Stellenausschreibung lautet:

PhD position: Bioinformatics dissection of aberrant developmental progression during tumorigenesis using a single-cell multi-omics approach (INSERM, CNRS, AMU, Marseille)

We are proposing a PhD position to investigate, at the single cell level, the gene regulatory regions controlling brain development and tumorigenesis in Drosophila. For this purpose, we will use a single-cell multi-omics approach (RNA-seq and ATAC-seq).

Details of the project and host labs can be found here:

This PhD project is part of the PhD Programme of the Turing Centre for Living Systems (CENTURI). The deadline of application is: February 26, 2021 and the application procedure is explained here:

Recent single-cell transcriptomics data have shown that brain cancers in children are driven by aberrantly redeployed developmental programs. However, it is still unclear how these developmental programs are coopted and regulated in the tumorigenic context. Brain development is understood in unmatched details in Drosophila where we have recently generated a model of brain tumors that recapitulates childhood tumors. New technologies now allow the simultaneous analysis of the transcriptome and regulome (regulatory regions) in single-cells. This project aims to generate and analyze single-cell data from neural progenitors isolated from the developing brain and tumors in Drosophila. The student will prepare tissues for high-throughput sequencing (HTS). He will then carry out a bioinformatics analysis to identify gene regulatory regions and infer gene regulatory networks involved during normal brain development and brain tumorigenesis. This project will shed light on how developmental programs can be coopted to promote tumorigenesis in children.

The PhD candidate should have a Master's degree in an area related to Bioinformatics, Biophysics, or Computer Science with a strong interest in data analysis. Previous experimental experience is not required but the student should be motivated to embark on a substantial amount of experimental work in order to generate the single-cell data to be analyzed.

Thank you for sharing this offer with motivated candidates.

Aitor González :; Cédric Maurange :

Student or scientific assistant (SHK/WHK): Support for virtual working group meetings & data mobilization in synthesis Postdoc projects

Working time: max. 19 hours per week until 30.9.2021

sDiv usually hosts 15 working groups a year and welcomes more than 20 participants each meeting from all parts of the world. Due to Covid-19, our working groups meet now fully virtually. To help them to be more productive and concentrate on science, we offer a student assistant position at the German Centre for Integrative Biodiversity Research (iDiv). A virtual meeting lasts between 2-4 days with several virtual meeting time blocks and due to the time difference among the participants, the support is mainly needed in the late afternoon until evening and potentially sometimes in early mornings. In times of less working group activity, the assistant will support biodiversity data (e.g. species traits) mobilisation in sDiv synthesis Postdoc projects (normal working hours).

The position is supervised by Dr. Marten Winter (head of sDiv).

Job description:

• technical support of the virtual working group meetings

o oversee virtual meeting platform functionalities (usually Zoom)

o help with break out room coordination

o support with audio, video problems of participants

o help setting up and oversee potential virtual whiteboards, slack channels etc

• support in meeting preparation

• note taking & synthesizing while and after the meetings

• potential help with meeting moderation/facilitation

Requirements / expected profile:

• You are currently a MSc student in a related research discipline (e.g., archaeology, zoology, ecology, palaeontology, geography, geology) or you already hold a Master’s or equivalent degree in a related field of research

• You should be familiar with at least one the following topics: Ecology, biodiversity research

• Fluent English language skills are a prerequisite and skills in other languages are beneficial.

• Your place of work is the German Centre for Integrative Biodiversity Research (iDiv) in Leipzig. Depending on the Corona-situation home office can be made.

You will be employed as student assistant via Leipzig University. The preferred starting data is 01 March 2021 or shortly thereafter. Applications should be directed to sDiv (Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!) and should include a short motivation letter and a short curriculum vitae.]



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