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    Current Jobs / Internships

    02 Aug 2022 Scientific Assistant (m/w//x)
    for the preparation of a PhD thesis in the Research Project: Possibilities and limits of the reduction of salt and nitrite in meat products.
    To support our team in the Biotechnology Research Platform, we are looking for a

    Scientific Assistant (m/w//x)

    for the preparation of a PhD thesis in the Research Project: Possibilities and limits of the reduction of salt and nitrite in meat products.

    To reduce the salt and nitrite content in meat products such as raw fermented sausages and cooked sausages, reliable scientific data on shelf life and product safety must be generated. The project will investigate the composition and dynamics of the microbiota of raw fermented and cooked sausages. The knowledge gained will show the possibility of the combined reduction of salt and nitrite as well as the limits of it with respect to microbiological stability while considering the technological requirements.

    Areas of responsibility
    • Analysis of salt and nitrite reduced meat products by classical cultural methods and by sequencing the total DNA (whole genome shotgun sequencing) or metabarcodes (e.g. the 16S rRNA gene) through storage.
    • Identification, isolation and characterization of dominant representatives of the spoilage microbiota.
    • Planning and execution of challenge tests with Listeria monocytogenes and spoilage microorganisms.
    • Evaluation and statistical analysis of data, modeling of inactivation kinetics.
    Your profile
    • You have a degree (M. Sc.) in microbiology, biotechnology, food science, food technology or a comparable degree.
    • You have good knowledge in (food) microbiology and practical experience in handling microorganisms.
    • You are interested in the technological aspects of meat product manufacturing, especially with regard to the reduction of salt and nitrite.
    • Initial experience in the analysis of sequencing data are beneficial.
    • Ideally, you have knowledge in statistics. Initial experience in creating mathematical models would be an advantage.
    • You are characterized by a self-responsible way of working and your strong communication skills.
    Contact person
    Are you interested?

    Then we look forward to receiving your complete application documents, preferably by e-mail.


    DIL Deutsches Institut für Lebensmitteltechnik e. V.
    Prof.-von-Klitzing-Str. 7 · D - 49610 Quakenbrück
    Phone: +49 (0)54 31.183 - 0
    Fax: +49 (0)54 31.183 - 114
    bewerbung@dil-ev.de
    07 Jun 2022 Master thesis
    on the topic „Optimization of pulsed electric field (PEF) treatment in liquid food products”
    In our team “Advanced Technologies” at DIL German Institute of Food Technologies we are looking for a Master student (m/w/x) for completion of a

    Master thesis

    on the topic „Optimization of pulsed electric field (PEF) treatment in liquid food products”

     

    Aim of the work is to evaluate suitability of different electrode materials (other than existing steel or titanium) to minimize electrode erosion and electrolytical reactions occurring at the interfaces of the electrodes during processing of food. The first phase of the experimental work has been done and few suitable electrode materials have been tested and chosen in a long-term study. These selected materials should be further tested under different processing conditions and with different model/food matrixes (e.g. pH, electrical conductivity, viscosity etc.).

    The work is part of the European research and innovation project FOX: Innovative down-scaled FOod processing in a boX (https://www.fox-foodprocessinginabox.eu/). The goal of the project is development of a mobile fruit and vegetable processing unit for mild extraction and preservation, including Pulsed Electric Fields. For potential improvement of down-scaled unit performance with respect to product quality and treatment efficiency, exploration of new electrode materials is foreseen.

    We offer possibility for independent working on the project in the duration of 6 to 12 months in the area of novel food technologies in an innovative, international and exciting working environment.

    Expected start is from July 2022, with certain flexibility.

    Areas of responsibility
    • Literature research
    • Experimental design for model or/and real food matrices
    • Chemical analysis and interpretation of obtained results
    • Potentially predictive modelling of the electrode erosion
    Your profile
    • Studies in the field of food technology/chemistry, physics, electrochemistry, chemical engineering or electrotechnics are preferred
    • Good communication skills and problem solving attitude
    • Independent, motivated and able to work in a team
    • Good computer literacy
    • Very good spoken and written English required, German skills desired
    Contact person
    Are you interested?

    Then we look forward to receiving your CV, contact details and the earliest possible starting date, preferably by email


    DIL Deutsches Institut für Lebensmitteltechnik e. V.
    Prof.-von-Klitzing-Str. 7 · D - 49610 Quakenbrück
    Phone: +49 (0)54 31.183 - 0
    Fax: +49 (0)54 31.183 - 114
    bewerbung@dil-ev.de
    17 Mär 2022 Doktorial Student (m/w/d)
    to work on a project on the topic „Data Scientist / Database Manager for Interoperability Platform“
    To strengthen our team of the Food Data Group we are looking for a

    Doktorial Student (m/w/d)

    to work on a project on the topic „Data Scientist / Database Manager for Interoperability Platform“

     

    We offer the possibility of independently handling a 2-year project (with the possibility of extension) in the field of data science in an innovative and exciting environment.

    Future food systems lack holistic databases and data platform allowing to interchange and operate data for the development of predictive and holistic analytical models.
    Development of data plant form for the interoperation of data between different ontologies is the main task for the position within EU funded project GiantLeaps.

    The details of the project will be discussed in further consultation.

    Areas of responsibility
    • Identify valuable data sources and automate collection processes
    • Undertake preprocessing of structured and unstructured data
    • Analyze large amounts of information to discover trends and patterns
    • Build predictive models and machine-learning algorithms
    • Develop custom data models and algorithms to apply to data sets.
    • Setting up data infrastructure and develop, implement and maintain databases
    • Create visualisations of data, oorganizing, documenting and presenting results to the team
    Your profile
    • Study of mathematics, computer science, data science or comparable courses
    • Strong understanding of data handling, data mining, exploration and analysis.
    • Competencies in data collection, creating data architecture and mathematical modelling
    • Structured way of thinking and well-developed coding skills (R/ Python), data management (MySQL) and analytical skills.
    • Knowledge of variety of machine learning and statistical techniques and concepts using python is an asset.
    • Independent and self-motivated work style, willingness and ability to perform and work in a team
    • Good Microsoft Office skills
    • Good English written and verbal communication skills
    • A drive to learn and master new technologies and techniques
    Contact person
    Are you interested?

    Then we look forward to receiving your CV and motivation letter as well as the earliest possible starting date, preferably by E-Mail.


    DIL Deutsches Institut für Lebensmitteltechnik e. V.
    Prof.-von-Klitzing-Str. 7 · D - 49610 Quakenbrück
    Phone: +49 (0)54 31.183 - 0
    Fax: +49 (0)54 31.183 - 114
    bewerbung@dil-ev.de
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