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Laatste vacatures

Medewerker Communicatie en Events (0,8 - 1 fte)

De afdeling communicatie is verantwoordelijk voor de externe en interne communicatie van CWI, inclusief de wetenschapscommunicatie, mediarelaties, PR, CWI website en intranet, etc. Ook verzorgt de afdeling diverse events voor het bedrijfsleven, wetenschappers en het algemeen publiek. Bijvoorbeeld CWI in Bedrijf, de CWI Lectures, en onze Open dag. Daarnaast coördineer je de productie van communicatiemiddelen, zoals ons bedrijfsblad wat 3x per jaar uitkomt.
De afdeling bestaat uit een manager, twee communicatieadviseurs, en een communicatiemedewerker.

Als communicatiemedewerker verricht je je werkzaamheden met een grote mate van zelfstandigheid, samen met interne opdrachtgevers en collega's van andere afdelingen. Je organiseert en communiceert over grote CWI-brede evenementen, en bent de linking pin bij het hosten van activiteiten, het ontvangen van delegaties en het gezamenlijk ontwikkelen van producten en evenementen. Hiervoor maak je heldere draaiboeken. Na afloop van een evenement, evalueer je met in- en extern betrokkenen en doe je suggesties voor verbeteringen.
Een ander belangrijk deel van je functie bestaat uit de redactie, ontwikkeling, productie en evaluatie van communicatiematerialen, zoals folders, verslagen, het personeelsblad, posters en content voor social media.

Tot slot verricht je voor de afdeling enkele administratieve en beheersactiviteiten, zoals het aansturen en briefen van externe en interne leveranciers, zoals grafisch ontwerpers, en het bewaken van de CWI huisstijl en je zorgt voor het ontwikkelen van huisstijlmaterialen.

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29-11-2022 Centrum Wiskunde & Informatica
A Software developer, to bring artificial intelligence into clinical practice

The Evolutionary Intelligence (EI) research group of the Dutch national research institute for mathematics and computer science (CWI, Centrum Wiskunde & Informatica) located in Amsterdam has a vacancy for a software developer, for a total duration of 3 years and 3 months to bring Artificial Intelligence (AI) techniques, in particular (combinations of) evolutionary algorithms and (deep) machine learning algorithms, into clinical practice (at Leiden University Medical Center (UMC) and Amsterdam UMC).

CWI closely collaborates with UMCs on innovations in the medical domain along the entire spectrum from algorithmic foundations to clinical integration. CWI is looking for a talented software developer to work on prototype software that translates our novel AI algorithms into easily useable software for clinicians. In particular, the position entails building prototype software for 3 research projects.

The first project, funded by the Dutch Cancer Society (KWF) and company partner Elekta, concerns our award-wining research line on automated internal radiation treatment, i.e., brachytherapy, planning. In a previous project, CWI and Amsterdam UMC have created highly innovative AI technology that is already used in the clinic at Amsterdam UMC for prostate cancer treatment. In the current KWF project, this technology is being advanced and extended to cervical cancer. For our novel approach to brachytherapy to be user-friendly and widely useable, first a well-designed Graphical User Interface (GUI) needs to be developed that is tailored to our AI approach that finds multiple, different, treatment plans for the physician to choose from. Second, the software needs to be made compatible with certain data format standards to allow easy integration in the current clinical workflow. Moreover, the development of the GUI, linked to the treatment planning optimization, needs to be done according to European Medical Device Regulations (MDR), i.e., self-developed medical software should comply to general safety and performance demands, which are documented in a quality-management system.

The second project, funded by the Dutch Research Council (NWO) and company partners Elekta and Ortec Logiqcare, concerns a novel research line on decentralized architecture search for deep learning, leveraging evolutionary algorithms, mainly for medical image analysis purposes. The goal of the software developer is to create a prototype implementation of the resulting technology that is MDR compliant, allowing results to safely and directly be used in the clinic. Different from the first project, the tasks pertaining to this project will thus be more less on the side of user interaction.

The third project, funded by NWO and company partners Elekta and Xomnia, concerns novel AI technologies for the deformable alignment of medical images (commonly known as deformable image registration). The goal here is a combination of the two projects above in that a GUI needs to be designed that makes it intuitive for a user to interact with our AI technology that proposes multiple solutions, as well as ensuring that the underlying algorithms (of which we have multiple types in this project) are implemented in a unified way.

The three projects of which this position is a part, are closely related and additionally consist of a total of 9 Ph.D. students and 2 part-time Radiation Therapy Technologists (RTTs), most of whom focus on the technological AI side, but all of whom have interactions with clinicians and medical physicists to discuss the underlying problems and data. All Ph.D. students and RTTs are intended to collaborate, also with the software developer. Moreover, the EI group at CWI has a dedicated software engineer who will also be involved in all these projects and will serve as the daily supervisor of the software developer.

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07-11-2022 Centrum Wiskunde & Informatica
Postdoc, on the subject of Diverse and Inclusive AI for the Media Sector.

How do we design, develop and evaluate human-centered AI applications for the media sector, and how do we ensure that these systems align with the goal to be diverse, inclusive and/or transparent? In this project we will translate goals and values embodied in media organisations into concrete metrics for the assessment and optimization of AI applications. We strive for a human-centered development approach by taking into account the long term effect of AI applications on various stakeholders, such as end-users, media content producers and media organisations.

The position is part of the new AI, Media and Democracy Lab, an interdisciplinary lab that brings together AI researchers, Communication Scientists, Information Law scholars and media organisations. The project will start with a collaboration with one of the media partners of the Lab, the Netherlands Institute for Sound & Vision, a leading knowledge institute in the field of media culture and archiving, and a strong advocate for the adoption of responsible AI systems. Together with Sound & Vision, we will decide which use cases, AI applications and datasets to work on. We may e.g. target recommender systems, which are widely seen as a risk for diversity, but we may also target ethical concerns in other types of AI systems, such as search engines or automatic tagging or classification systems.

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04-11-2022 Centrum Wiskunde & Informatica
Postdoc, on the subject of Algorithm Design for Strategic Network Environments

This is one of 8 EU-COFUND Postdoctoral positions in the NETWORKS research project. The NETWORKS project is a collaboration of world-leading researchers from four institutions in The Netherlands: TU Eindhoven, University of Amsterdam, Leiden University and Centrum Wiskunde & Informatica (CWI). Research in NETWORKS focuses on stochastics and algorithmics for network problems.
For more information about the general call, please visit https://www.thenetworkcenter.nl/Open-Positions/

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26-09-2022 Centrum Wiskunde & Informatica
2 talented PhD students, on Machine Learning for Combatting Cybercrime

Over the past few years, cybercrime has increased dramatically and has become a major threat to the proper functioning of our modern society. This has raised the need for the development of new and powerful methods to combat cybercrime. At the same time, the recent emergence of artificial intelligence and machine learning algorithms has created tremendous opportunities for developing such methods.

Motivated by this, the two PhD positions are aimed at developing new models, methods and machine learning techniques, and to evaluate their effectiveness in handling cybercrime activities. Topics of interest include intrusion-detection systems, active learning, neural networks, supervised and unsupervised learning, generative adversarial networks. Within this broad range of topics, there will be much academic freedom in the choice of the specific topics to be addressed.

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16-09-2022 Centrum Wiskunde & Informatica