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/Job opportunities/Modeling of hybrid nanofluidic-nanoelectronic devices for single-molecule biosensing

Modeling of hybrid nanofluidic-nanoelectronic devices for single-molecule biosensing

PhD - Leuven | More than two weeks ago

Your project will be at the forefront of highly parallelized and scalable genomics.

​      The continuous optimization of the metal-oxide-semiconductor field-effect transistor (MOSFET) since the mid-60s has enabled ultra-scaled devices. This nano-scaling of MOSFETs has primarily benefited the field of computing, but is also expected to benefit the interdisciplinary field of biosensing. While biosensing, and in particular DNA sequencing, has been done successfully by ion current sensing through nanopores, a nanopore FET has been recently proposed as an alternative design. The detection of molecular motion through a nanopore inside a FET based on the FET's electrical characteristics is expected to solve multiple challenges, by offering larger signals, higher bandwidth, denser integration and parallel sensing. 
      This project explores the optimal nanopore FET configuration through modeling, while connecting closely with experimental input from FET experts and from molecular dynamics experts. Modeling efforts are ground-breaking as a solver platform, including both semiconductor drift-diffusion equations as well as Nernst-Planck and Navier-Stokes equations for liquids, is virtually non-existing. A prototype design as in the figure below has been established with OpenFOAM, an open-source solver platform. The applicant will optimize this single-molecule biosensing FET design, based on physical insight in the performance. Next to structural modifications, the optimization will include an implementation of the noise of the biosensor, such that the optimal operating regime can be determined. He or she will also improve the relevance of the predictions by implementing (available) molecular models into the solver platform. The ongoing prototype development in our world-class 300mm semiconductor processing line and state-of-the-art laboratories will complement the topic of this PhD.   
      The successful candidate for this topic has a good knowledge of semiconductor physics, as well as a basic understanding of fluid dynamics. He or she has good programming skills. Simulations will be done with OpenFOAM, a C++-based toolbox. For calibration, physical understanding or pathfinding of completely new device designs, our in-house fabricated prototype nanopore FETs will be available. During the project, the candidate will also learn about the fabrication process of the nanopore FET and about electrical and spectroscopic characterization techniques. Interactions will exist with semiconductor device experts and with molecular and fluid dynamics experts at imec.

Required background: physical engineering, physics, nano science, electrical engineering, computational engineering sciences

Type of work: 40% modeling, 40% physical interpretation, 20% calibration to experimental data

Supervisor: Pol Van Dorpe

Daily advisor: Anne Verhulst

The reference code for this position is 2021-091. Mention this reference code on your application form.