Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The develops computational methods and utilizes "omics" technologies to study microbial ecosystems in food production and human health, with the ultimate goal of creating microbial communities and products that optimize food quality, safety, and human health.
We are seeking a postdoctoral researcher with expertise in biotechnology and molecular biology to lead a project using food fermentations as a model ecosystem for investigating microbial ecology dynamics and the evolution of multi-species communication.
Fermented foods and beverages are a nutritionally and culturally significant component of human diets globally, as well as a primary source of microorganisms and microbial metabolites that shape both food quality and human health. They also serve as an experimentally tractable model for testing hypotheses of microbial ecology and evolution.
The position is located in the at ETH Zurich within the Laboratory of Food Systems Biotechnology (Prof. Dr Nicholas Bokulich). The Bokulich laboratory develops bioinformatics methods and software for microbiome research, including , and applies these tools to study microbiomes at the interfaces of foods and human health.
You will use molecular, deep sequencing, metabolomics, and genetic manipulation (random and targeted mutagenesis) methods together with high-throughput phenotypic screening for deep investigation of inter-kingdom interactions in model ecosystems and food matrices, in pursuit of generalizable "rules of life" that transcend these systems.
You are a self-motivated scientist with outstanding academic qualifications, superb interpersonal and written communication skills, and enthusiasm to engage with a friendly and collaborative team of interdisciplinary scientists. You are comfortable working with a mixture of molecular biology, microbiology, and bioinformatics techniques, including experience with transposon mutagenesis or related random mutagenesis methods. Experience in metagenomics/microbiome research, metabolomics, python programming, and robotics platforms for laboratory automation are also bonuses but not required. You should also have a strong interest in teaching, and will have the opportunity to supervise thesis/student projects as well as classroom teaching.
Key Qualifications
Desired Qualifications
ETH Zurich is a family-friendly employer with excellent working conditions. You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits.
We look forward to receiving your online application with the following materials:
Please note that we only consider completed applications that are submitted through our online application portal. Applications sent via email or postal services will not be considered.
28-02-2024
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