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Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)
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The PhenoMix project addresses the critical challenge of automated phenotyping for crop mixtures — a promising agricultural practice with significant potential…

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PhD position – Source tracking for bioaerosol

ETH Zürich -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100%

Qualifikationen

Englisch
Master

Vollständige Stellenbeschreibung

PhD position – Source tracking for bioaerosol

100%, Zurich, fixed-term

Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will be hosted by the Institute of Environmental Engineering, ETH Zürich and matriculate in ETH Zürich.

The research is related to development of experimental and modeling techniques to identify emission sources, simulate the airborne transport, analyze the genomics data, and study the fate and impact of bioaerosol. Bioaerosol, including airborne bacteria, viruses, fungi, and fragments of these organisms pose risks to human. Emerging hazardous components such as antibiotic resistance genes and metal resistance genes highlight the evolving risks due to bioaerosols. Metagenomics, bioinformatics, air quality simulation models, and source tracking tools are expected to contribute to the research goals. Our group is engaged in development of technologies for bioaerosol sampling and detection, and air quality models with high spatiotemporal resolution, providing a solid platform for the PhD candidate.

Job description

The student will be involved in tasks such as:

To collect air samples
To apply microbiological methods such as qPCR and sequencing to identify and quantity bioaerosols
To employ data analysis and bioinformatics to extract bioaerosol characteristics
To apply source tracking tools to identify the sources and quantify the contributions
To employ air quality models to investigate the transport and fate of bioaerosol and assess the impact

We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities. That's what counts - not age, gender, origin, religion, sexual orientation, etc.

Profile

We are looking for suitable candidates with a master level degree in environmental engineering, bioengineering, mechanical engineering, or related fields with excellent grades
Good modeling capability is of high value
Good command of English is required

Workplace

We offer

Your job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits

We value diversity and sustainability

In 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. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents:

Curriculum vitae
A complete academic transcript including undergraduate and graduate courses
Copies of diploma/certificates
Contact information of 2-3 potential referees
A short description of research interests

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Position starting from Sep 2026 or upon agreement.

Please contact Prof. Wang, [email protected] (no applications) for further information and visit our website.

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data working student Jobs in zürich, zh

PhD position – Source tracking for bioaerosol

Postdoctoral Position in Machine Learning for Automated Plant Phenotyping (PhenoMix Project)

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PhD position – Source tracking for bioaerosol

100%, Zurich, fixed-term

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