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Nanotechnology● Open⏰ 0 days leftPreview

PhD Position: Nanopore Detection of Nanocluster Heterogeneity

Join the Swiss Nanoscience Institute to develop protein nanopore technology for single-molecule analysis of metal nanoclusters.

Best for:Best for candidates with a background in chemistry or physics and an interest in single-molecule biophysics and machine learning.

University of Basel · Basel, Switzerland · R1 · First-stage researcher
More professors at University of Basel
Nanopore TechnologySingle-Molecule AnalysisMetal NanoclustersBiophysical ChemistryBioinorganic ChemistryMachine Learning
Deadline
Oct 15, 2026
0 days
Funding
Salaried
Fully funded
Start date
flexible
Fixed-term
Location
Basel
Switzerland

Overview

The University of Basel invites applications for a four-year PhD position within the prestigious Swiss Nanoscience Institute (SNI) PhD School. The project, jointly supervised by Prof. Sonja Schmid and Prof. Florian P. Seebeck, focuses on developing protein nanopore platforms to characterize the heterogeneity of metal nanoclusters at the single-molecule level. Candidates will work in an interdisciplinary environment, bridging biophysical and bioinorganic chemistry to gain insights into prebiotic life and material science. The role involves experimental nanopore assay development, protein engineering, and the implementation of machine learning for signal classification. Applicants should be highly motivated individuals with a strong background in chemistry, nanoscience, or related disciplines.

PhD positionNanotechnologyProtein EngineeringSingle-moleculeData AnalysisBiochemistryNanoclustersUniversity of Basel

What you'll do

  • Develop and optimize protein nanopore-based platforms for the analysis of metal nanoclusters.
  • Establish experimental assays to detect and characterize individual nanoclusters with single-molecule resolution.
  • Engineer and purify protein nanopores with specific sensitivities to size and charge.
  • Create data analysis pipelines and apply machine learning techniques for signal classification.
  • Collaborate effectively within an interdisciplinary team of physicists, chemists, and life scientists.
  • Disseminate research findings through scientific publications and conference presentations.

Requirements

Degree required: Master's degree in chemistry, biochemistry, nanoscience, physics, or a related field.

Degree offered: PhD

Language: English (excellent proficiency required).

Instruction: English

Required skills
  • Experience in data analysis and programming, preferably in Python.
  • Strong background in chemistry, biochemistry, or nanoscience.
  • Ability to work independently and systematically.
  • Excellent communication skills in English, both written and spoken.
Nice to have
Prior experience with nanopore experiments.Practical experience in protein purification.Previous exposure to machine learning applications in scientific research.

Funding & terms

Type
Salaried
Amount
Fully funded
Duration
4 years
Programme
Swiss Nanoscience Institute (SNI) PhD School
University of Basel

How to apply

Deadline: 2026-10-15 (Europe/Zurich)

Applications must be submitted through the official online portal provided by the Swiss Nanoscience Institute. Ensure all required documentation is prepared according to the guidelines on the programme website before the deadline.

Documents required
  • CV
  • Academic transcripts
  • Cover letter
  • Reference letters
↗Apply on site

Contact

Andreas Baumgartner· Head of SNI PhD programme

andreas.baumgartner@unibas.ch

https://www.phd.nanoscience.ch

SS
Prof.
Sonja Schmid
Swiss Nanoscience Institute
Lab
Schmid and Seebeck Groups
University of Basel
Swiss Nanoscience Institute (SNI) PhD SchoolSwitzerland
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