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Vacatures geplaatst door Centrum Wiskunde & Informatica

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Laatste vacatures

Assistent, voor wetenschappelijke groepen & evenementen (M/V/X) (0.8-1.0 fte)

Ben jij de organisatorische duizendpoot die ons secretariele team komt versterken bij het Centrum Wiskunde & Informatica (CWI)? Wij zoeken een vriendelijke, opgewekte en servicegerichte secretarieel assistent die gedijt in een dynamische omgeving, zowel nationaal als internationaal, waar elke dag anders is en waar jouw bijdrage het verschil maakt.

In deze veelzijdige functie bied je secretariële en organisatorische ondersteuning aan managementleden en verschillende onderzoeksgroepen en help je onze wetenschappers, vaak expats, hun weg te vinden binnen het CWI. Jij bent dé verbindende factor, de go-to persoon, ook voor onze collega’s van de andere ondersteunende afdelingen. Van het organiseren van teamuitjes tot het coördineren van grote conferenties, jij zorgt voor een vlekkeloze uitvoering.

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31-01-2024 Centrum Wiskunde & Informatica
PhD student on Numerical modeling of electrical discharges in insulators

Partial discharges are a common phenomena in electrical equipment. They occur when a small electric discharge forms within (or around) electrical insulation, for example because it contains a void or a crack. In this project, the focus is on partial discharges that occur in high-tech actuators, such as those used to position wafers for chip production. The performance of such actuators can be improved by using higher operating voltages and by switching those voltages on and off faster, but this leads to increasing failures that are probably related to partial discharges. For this reason, a large collaborative project recently started with academic partners from TU Eindhoven, TU Delft and CWI and industry partners ASML and Tecnotion.

The goal of the PhD project at CWI is to use numerical simulations to better understand where and when partial discharges form in an actuator, and how their presence relates to mechanical defects. The research will be done in collaboration with project partners, for example to establish the geometries that will be studied and the operating conditions, to compare simulation results of partial discharges with experimental measurements, and to provide information about partial discharges to project partners.

Information about methodology
There are currently different types of discharge simulation codes available in the group, based on either a fluid or a particle-based approach. These codes are parallelized and they use adaptive mesh refinement, but they are not directly suitable for simulating partial discharges in somewhat complex geometries with dielectrics and electrodes. Depending on the candidate's expertise and interest, the candidate could for example put more emphasis on:

  1. Validating existing partial discharge models against experimental data in relatively simple geometries
  2. Implementing an efficient field solver and discharge model suitable for complex geometries
  3. The inverse problem: what can be learned about a sample from partial discharge measurements?
  4. Developing a simplified model for partial discharges and their long-term effects, and validating this model against experiments

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25-01-2024 Centrum Wiskunde & Informatica
PhD student on computational modelling of “Green Sparks”

Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors. Similar discharges occur in high-voltage equipment, such as the switchgear used in electric grids. Our transition to sustainable electric energy requires major extensions of this grid. However, switchgear and other high-voltage equipment currently often operate with SF6 gas, which is the worst greenhouse gas known. Within the project, we will investigate the dynamics of “green sparks” in “green” alternatives to SF6.

The fundamental question of the project is: How does the development of a gas discharge depend on the gas composition and on the operating conditions? We now are making a lot of progress on discharges in air, but air seems to be a very non-generic gas. Within the “Green Sparks” project, discharge experiments in different “green” gases will be performed by two PhD students at the departments of applied physics and electrical engineering at Eindhoven University of Technology, while the PhD student at CWI will focus on computational modelling. A committee of industrial users ranging from a start-up to a multinational will give feedback on the research twice per year.

Will you join our collaborative project team to develop and evaluate computational models for these discharges?

Then you would become part of our modelling group at CWI Amsterdam. Here we have extensive expertise in modelling the dynamics of such gas discharges. We work with particle or density models for the free electrons in the discharge and employ adaptive mesh refinement as well as analytical approximations to grasp the multiple spatial and temporal scales of the problem. For further background information on the project, see, e.g., https://homepages.cwi.nl/~ebert/2023-ERCIM-News.pdf or https://iopscience.iop.org/article/10.1088/1361-6595/abaa05 .

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25-01-2024 Centrum Wiskunde & Informatica
Postdoc on the subject of Adaptive Sequential Testing

CWI is hosting a one-year project focusing on Practical and efficient methods underpinning adaptive sequential testing. This project is a collaboration between CWI and Booking.com research in Amsterdam.

We are looking for a talented postdoc who is interested in pursuing scientific research in sequential testing. The project aims to advance adaptive sequential testing in practically motivated extensions of the classic Best Arm Identification setting. We are looking to develop principled algorithms that handle delays, non-stationarity and/or feedback beyond simple rewards.

The postdoc researcher will spend four days day per week at CWI and one day at Booking.com research (within a short 15 minutes bicycle ride).

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18-01-2024 Centrum Wiskunde & Informatica
Postdoc, on the subject of Learning-Augmented Algorithms/Mechanism Design

Optimization for and with Machine Learning (OPTIMAL) is a Dutch research project funded by NWO (2020-2025). It is a collaboration between researchers from the University of Amsterdam, CWI, Tilburg University, and Technical University Delft.

We are looking for a talented postdoc who is interested in pursuing fundamental research in learning-augmented algorithms and/or mechanism design. The primary focus will be on the development of new algorithms that exploit (machine-learning) predictions to obtain improved and more fine-grained performance guarantees (approximation ratio, efficiency guarantee, etc.).

16 sollicitaties
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22-12-2023 Centrum Wiskunde & Informatica