Transport at Nanoscale Interfaces Laboratory

Education

Lectures (University of Basel, ETH Zürich)

A list of our current and past lectures is available here.

 

Master Projects

Our lab offers a variety of Master projects for students. For more details visit our masterproject-section and do not hesitate to contact the responsible persons.

 

Lehrstelle: Physiklaborant/-in

Jedes Jahr bilden wir Physiklaborant/-in EFZ aus. Wenn dich diese vielfältige Ausbildung interessiert, bewirb dich rechtzeitig auf diese Stelle! ;-)

 

IAESTE students

Our Lab regularly offers opportunities for IAESTE internships. See for instance this South Korean TV documentary

"The Happy Engineers" to learn more about internships at Empa.


Artificial Intelligence for the analytics of quantum devices

We are looking for highly motivated students with a strong background in nanoscience, physics, or computational sciences. We provide state-of-the-art facilities in a cutting-edge research field. For more information, please contact Dr. Mickael Perrin (Mickael.Perrin@empa.ch). For applications, please send a short motivation (including educa-tional background and exam grades).

Unsupervised machine learning (ML), and in particular data clustering, is a powerful ap-proach for the analysis of datasets and identification of characteristic features occurring throughout a dataset. It is gaining popularity across scientific disciplines and is particular-ly useful for applications without a priori knowledge of the data structure. In our lab, we have developed several ML approaches for the classification of univariate measurements and apply it to the field of nanoelectronics and spectroscopy. This allows us to identify meaningful structures in data sets, providing physically relevant information about the system under study. 

In this master project, the student will develop novel feature extraction methods suited for nanoscale devices with as aim the improvement of the classification accuracies. One of the paths to be explored will be the investigation of the feature extraction capabilities of convolutional neural networks. The validation of the models will occur on experimental datasets with known labels and on synthetic data. For the generation of synthetic data, the use of generative adversarial networks (GANs) will be explored. The experimental da-tasets will be acquired either in the lab or provided via collaborators. 
The student will learn:
 
  • Multiple machine learning methods (data classification, GANs, convolutional neu-ral networks, …).
  • Physics of nanoscale quantum devices.
  • Measurements on quantum devices.
  • High-performance computing.

 

Transport at Nanoscale Interfaces Laboratory

Contact us


Open positions:

Tenure Track Group Leader in Nanomaterials Spectroscopy & Photonics (pdf)

PhD (pdf) and Postdoc (pdf) on Exotic electron and phonon transport regimes in patterned 2D systems

Phd on Exotic electron and phonon transport regimes in patterned 2D systems


Dr. Mickael Lucien Perrin

Dr. Mickael Lucien Perrin
Post-doctoral researcher

Phone: +41 58 765 4610


Spatially mapping thermal conductivity of 2D-materials

We are looking for highly motivated students with a strong background in nanoscience, physics, or material science. We provide state-of-the-art facilities in a cutting-edge re-search field. For more information, please contact Dr. Mickael Perrin (Mickael.Perrin@empa.ch). For applications, please send a short motivation (including educa-tional background and exam grades).
Unsupervised machine learning (ML), and in particular data clustering, is a powerful ap-proach for the analysis of datasets and identification of characteristic features occurring throughout a dataset. It is gaining popularity across scientific disciplines and is particular-ly useful for applications without a priori knowledge of the data structure. In our lab, we have developed several ML approaches for the classification of univariate measurements and apply it to the field of nanoelectronics and spectroscopy. This allows us to identify meaningful structures in data sets, providing physically relevant information about the system under study. 
Opto-electronic characterization of strain effects in graphene nanoribbons
 
Graphene nanoribbons (GNRs) are nanometers-sized have attracted a strong interest from researchers worldwide as they constitute an emerging class of quantum materials. They exhibit novel physical properties beyond graphene such as a largely tuneable bandgap, optical, magnetic and topological effects, all tailorable by their edge structure. Recently, GNRs have been integrated into field-effect transistor devices, exhibiting high on/off rati-os and quantum dot behavior at cryogenic temperatures. Theoretically, applying strain on GNRs has been been predicted to results in largely tunable bandgaps, as well as the ap-pearance of localized edgestate.
 
The aim of this project is to investigate strain effects in GNRs both electrically and using Raman spectroscopy. The GNRs will be transferred onto a flexible substrate that will be bend using a mechanically controllable break junction setup. This home-designed setup is installed in a cryostat for the investigation of temperature-dependent charge transport measurements. In addition, Raman spectroscopy will be used to identify the various vibra-tional modes present in GNRs and track their energy upon straining. The GNRs will be provided by the group of Prof. Roman Fasel at Empa. The student will learn:
 
  • Sample fabrication in cleanroom environment
  • Charge-transport measurements
  • Raman spectroscopy
  • Physics of GNR-based quantum devices
  • Cryogenics

 

Transport at Nanoscale Interfaces Laboratory

Contact us


Open positions:

Tenure Track Group Leader in Nanomaterials Spectroscopy & Photonics (pdf)

PhD (pdf) and Postdoc (pdf) on Exotic electron and phonon transport regimes in patterned 2D systems

Phd on Exotic electron and phonon transport regimes in patterned 2D systems


Dr. Mickael Lucien Perrin

Dr. Mickael Lucien Perrin
Post-doctoral researcher

Phone: +41 58 765 4610


July 06, 2020 Congratulations to Dylan, Janic and Jil!

Congratulations to Dylan, Janic and Jil to your successfully passing of the final apprenticeship exams!

Jul 01, 2020 Welcome Alexandra Walser

Welcome Alexandra!

Hope your short masterproject-summerbreak time with us will be joyful & productive ;-)