Open Positions
We are looking for talented undergraduates, PhD students and postdocs who want to dive into cutting-edge projects and make impactful contributions.
Master and Semester Projects
We offer the opportunity to make master and semester projects in the following areas:
1. Nanoscale biosensors
2. Study of protein translocation through nanopore sensors
3. Study of protein secretion from single cells using nanopore sensors
4. Multiplexed Single-Cell systems for protein profiling, inclduing development of novel methodologies to enable highly multiplexed single-cell analysis
Current Project Proposals:
Overview
Solid-state nanopores have become powerful sensors for the label-free detection of biomolecules (DNA, mRNA, proteins), with pulled glass nanopores among the most common owing to their simple fabrication. However, with glass nanopipettes we lack subnanometre size precision, dynamic size control and the ability to reliably form the smallest apertures (<10 nm) without losing sensitivity.
Thus far their applicability to single-molecule characterisation has been limited; indeed, with characterising proteins posing one of the foremost problems in the field of single-molecule sensing, a new approach is required. One such approach is a pipette-based interfacial nanopore, which leverages the ease and reproducibility of glass nano- and micro-pipettes in combination with an elastic surface to form an in-situ adaptive solid-state nanopore at their interface.
These dynamic pipette-surface interfacial nanopores can select aperture size with high resolution and modify their size during measurements. With these pores we observe increased DNA dwell times compared to glass nanopipettes, enhancing their sensing capabilities. Moreover, pore formation post pipette pulling increases size reproducibility, negating issues arising from variabilities in fabrication and allowing us to form pores of less than 10 nm.
However, the pore geometry, the translocation and pore formation dynamics, and the electrical properties of the interfacial nanopore are poorly understood. Indeed, the nanoscale nature of the pore makes direct optical observation impossible, while the complex geometry also limits electron methods. Therefore, an understanding derived from computational simulation of the physics underlying these processes is of paramount importance.
Project Goals
The project should elucidate several characteristics of the interfacial nanopore through simulation. The project will therefore be primarily computational, but some time in the lab will be necessary to become familiar with the system. (A more practically oriented project is possible if the student should wish, as comparative measurements are required). The student can choose to tackle several issues as they see fit:
(i) Predict pore geometry arising from elastomer deformation.
(ii) Consider electrical properties of the nanopore, including surface effects, electric field, and predict the pore response to DNA and other translocating analytes.
(iii) Consider effect of electroosmotic flow and electrophoretic flow arising from applied voltages and salt gradients.
(iv) Model nanopore instability arising from mechanical vibrations.
Given that this work is novel, a strong student project can expect publication. Should you have any questions, please do not hesitate to reach out ().
Project Type
Master Thesis preferred, but Semester Project or Bachelor Thesis can be considered.
Requirements
Strong background in Physics or related subject (engineering, materials science, chemistry etc.). Experience using COMSOL or other simulation packages is helpful but not necessary.
Overview
Solid-state nanopore-based biosensors are at the frontier of single-molecule, label-free sensing and characterisation. However, where on the one hand fast translocation times enable high-throughput screening, on the other hand they pose significant challenges as for the sampling rates required to identify molecular signatures.
Furthermore, a mechanically actuated nanopore gives the additional freedom of controlling the size of the pore, hence to tune its sensitivity to features of molecules of certain dimensions; to capitalise on this opportunity, control algorithms need to be able to react in real time while the analyte is still dwelling in the sensing region. We aim to tackle this challenge by implementing our controller onto FPGA fabric in a fully automated setup where nanopositioners are to respond to electrical signatures of translocations with very low latency.
Additional challenges come from the integration of acquisition devices and related equipment (high-speed camera and laser, AC and DC amplifiers), each operating at different sampling rates, with different interface options and within different clock domains.
Ultimately we aim to build a unified data acquisition and control system capable of abstracting from these and more implementation considerations without sacrificing the performance of its components and retaining the flexibility to be easily adapted to different experimental setups.
Project goals
Students will have the opportunity to gain hands-on experience with high-end acquisition and control devices. Given the multimodal nature of the equipment, each student project can be tailored to focus on specific components of the setup and multiple projects can take place concurrently and independently.
Regardless of the specifics of each project, fundamental goals are:
- Development of real-time control algorithms for the component of choice
- Integration of relevant event logging into the existing infrastructure (and optional optimisation)
- Development of suitable testbenches for validating the implemented function against arbitrary inputs
- (Optional, dependent on progress) Testing on real experimental use-cases
Student profile
We seek highly motivated, independent students with a strong engineering background willing to give their critical contribution to the research carried out in the group.
Project type
Master thesis, semester project, bachelor thesis.
Required skills
- Git
- Python
- Basic C/C++
- (Project-dependent) System Verilog and Vivado (at least VLSI 1 or equivalent knowledge)
Desired skills
- LabVIEW
- 3D modelling
- Data / image analysis
Contact
Interested students should email indicating background, specific interests, type of project, desired start date and attach their CV and transcript of records.
PhD and Postdoc Positions
We are looking for talented PhD students who want to dive into cutting-edge projects and make impactful contributions.
Postdocs considering a career in academia who are seeking fellowship opportunities, feel free to reach out regarding potential postdoctoral positions.
If you are interested, send applications with CV and grade transcripts to Prof. Dr. Morteza Aramesh.
Inst. f. Biomedizinische Technik
Gloriastrasse 37/ 39
8092
Zürich
Switzerland