Publisher
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ETH Zurich

PhD in High-throughput Analysis of Protein-Protein Interactions and Mechanobiology ETH Zurich in Switzerland

Degree Level

PhD

Field of study

Biochemistry

Funding

Doctoral position with competitive salary in accordance with Swiss doctoral salary standards; funding to attend international conferences and present work.

Country flag

Country

Switzerland

University

ETH Zurich

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Keywords

Biochemistry
Computer Science
Molecular Biology
Chemistry
Biomedical Engineering
Biophysics
Biology
High-throughput Screening
Mechanobiology
Protein Engineering
Statistics
ML
bio engineering

About this position

Doctoral Student in High-throughput Analysis of Protein-Protein Interactions at ETH Zurich / University of Basel (Basel).

This PhD project sits at the interface of protein engineering, molecular biophysics, mechanobiology, high-throughput screening, and machine learning. The Nash Lab (Lab for Engineering Synthetic Systems) is jointly affiliated with the Department of Chemistry at the University of Basel and the Department of Biosystems Science and Engineering of ETH Zurich in Basel. The project aims to develop high-throughput methods using molecular surface display and deep sequencing to measure force-dependent behavior in protein systems, with a proof-of-concept application to blood clotting interactions relevant to Von Willebrand disease.

The doctoral student will establish and validate a quantitative assay for mechanical stability of a protein-protein interaction, cross-validate results with AFM, design DNA variant libraries, perform yeast display and next-generation sequencing, build computational pipelines to convert sequencing data into quantitative fitness values, and collaborate with a computational biology group to develop and benchmark machine learning models. The role also includes preparing manuscripts, presenting results, and contributing to undergraduate teaching and practical supervision.

Eligibility highlights: a Master's degree in bioengineering, chemical engineering, biochemistry, molecular biology, biophysics, or a related field; strong quantitative skills; interest in protein engineering and mechanobiology; experience with molecular biology/protein expression preferred; Python or equivalent data analysis skills; fluent English; eligibility for the D-BSSE Doctoral program in Basel.

Funding: competitive Swiss doctoral salary standards plus conference support.

How to apply: submit the required documents via the ETH Zurich online portal only. The post asks for a cover letter to Prof. Michael Nash, CV, transcripts, thesis/report, optional publications/preprints, and two references. Questions go to [email protected].

Funding details

Doctoral position with competitive salary in accordance with Swiss doctoral salary standards; funding to attend international conferences and present work.

What's required

Master's degree in bioengineering, chemical engineering, biochemistry, molecular biology, biophysics, or a related field; strong quantitative background; genuine interest in protein engineering, mechanobiology, and/or high-throughput experimental methods; hands-on experience with molecular biology and protein expression preferred; prior yeast display, directed evolution, or single-molecule biophysics (e.g. AFM) is an advantage but not required; comfort with or willingness to learn computational analysis of large sequencing datasets (Python or equivalent), with machine learning experience as a plus; independent and careful experimental work; ability to collaborate across two research groups and institutions; willingness to contribute to bachelor-level teaching/practicals; fluent written and spoken English; eligibility for enrollment in the D-BSSE Doctoral program in Basel.

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Professors

Prof.

University Name
Country flag

Switzerland

Research Interests

Biochemistry

Statistics

Bio Engineering

Biology

Biomedical Engineering

Prof.

University Name
Country flag

Switzerland

Research Interests

Cell Biology

Biostatistics

Next-generation Sequencing

Genome Sequencing

Environmental Microbiology