Post-Doctoral Researcher in Computational Metabolomics
|Workplace||Zürich, Zurich region, Switzerland|
80%-100%, Zurich, fixed-termThe Institute of Molecular Systems Biology at ETH Zurich is inviting applications for a Postdoctoral position in the laboratory of Professor Dr Nicola Zamboni ( web ).
The group of Dr Zamboni researches the function and regulation of metabolism. It is particularly attracted by:
In its research, the group builds heavily on mass spectrometry for the analysis of the metabolome, the lipidome, and metabolic fluxes by stable isotopes. Beyond mere data generation, much of the current research activities are dedicated to formal integration and interpretation of omics data. These include a variety of computational methods ranging from statistics to deep learning and probabilistic graphical models.
Project backgroundThe Zamboni lab hosts the Clinical Metabolomics Analysis Center, which is a technology hub affiliated with the Swiss initiatives on personalized health (PHRT, ?url=www.sfa-phrt.ch&module=jobs&id=2299894" target="_blank" rel="nofollow">?url=www.sfa-phrt.ch&module=jobs&id=2299894" target="_blank" rel="nofollow">www.sfa-phrt.ch ). Thereby, it is tightly embedded in numerous projects and collaborations aiming at integrating deep molecular data into clinical decisions. Here, the focus of the Center is on democratizing metabolomics and lipidomics analyses for broad adoption in clinical research and diagnostic data streams. A speciality of the group is the development of high-throughput untargeted LC-MS methods. These are critical to swiftly screening large cohorts of clinical samples, drug libraries, or genetic mutants. With a steadily growing volume of samples and studies, novel opportunities emerge. These opportunities include learning across studies, implementing novel MS2 fragmentation strategies that maximize the amount of non-redundant information obtained in each study, aggregating different types of information for the task of structural elucidation, and exploiting novel types of fragmentation technology.
The Zamboni lab is seeking a postdoctoral fellow with strong computational skills and interests to strengthen developments in these forward-looking areas.
Job descriptionYou are expected to:
Your profileCrucial qualifications:
We offerETH 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.
Working, teaching and research at ETH Zurich
We value diversityIn line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish.
Curious? So are we.We look forward to receiving your online application with the following documents:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the Institute of Molecular Systems Biology can be found on our website, ?url=www.imsb.ethz.ch&module=jobs&id=2299894" target="_blank" rel="nofollow">?url=www.imsb.ethz.ch&module=jobs&id=2299894" target="_blank" rel="nofollow">www.imsb.ethz.ch . Questions regarding the position should be directed to Dr Nicola Zamboni, email nzamboniethz.ch (no applications).
Apply online now
About ETH ZürichETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
In your application, please refer to myScience.org and reference JobID 2299894.
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