April 2021 - Machine-learning-nederland

Machine Learning specialist (permanent) - scientific software, SCM, Amsterdam
by Stan Van Gisbergen 21 Sep '21

21 Sep '21

We’re looking for a scientific software developer with Machine Learning (ML) expertise (MSc or PhD in ML). Together with our current mathematics and Machine Learning developers, you will work on developing new functionality where state-of-the-art ML techniques are applied to problems in computational chemistry. https://www.scm.com/news/job-opening-software-developer-machine-learning-in… Dr. S.J.A. van Gisbergen Directeur Software for Chemistry & Materials B.V. De Boelelaan 1083 1081 HV Amsterdam, The Netherlands E-mail: vangisbergen(a)scm.com http://www.scm.com

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Postdoctoral position in Deep Learning for Inference and Control [10 days to deadline]
by Lanillos Pradas, P.L. (Pablo) 29 Apr '21

29 Apr '21

The Artificial Intelligence department at the Donders Institute is looking for postdoctoral researchers (2 years) in Deep Learning for Inference and Control. The application deadline is 9 May 2021. Apply here: https://solliciteren.ru.nl/cgi-bin/share/og_pxs.pl?target=LI&recid=1148428 The postdoctoral researcher will lead a new promising line of research in Deep Learning for Inference and Control inspired by neuroscience to bring adaptation and improvisation. The position is framed within the Spikeference project, co-funded by the Human Brain Project (HBP), which aims to control robots with neuroscience-inspired algorithms providing adaptation and conditional hierarchical problem-solving. You will team up with the project PIs (Pablo Lanillos, Serge Thill and Marcel van Gerven), other postdocs and PhD students. You will join an exciting and vibrant young team of experts in ML, AI, robotics and computational neuroscience. The research will be enclosed inside the broader aim of providing natural intelligence to machines supported by the newly created European Laboratory of Learning and Intelligent Systems (ELLIS) unit in Nijmegen and the HBP community. If you have any doubt about the position please send an email to: p.lanillos(a)donders.ru.nl Marcel van Gerven Professor of Artificial Cognitive Systems (@artcogsys) Director of ELLIS Nijmegen | Chair of the Department of Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour | Radboud University Nijmegen Pablo Lanillos Assistant professor in Cognitive Artificial Intelligence (@PLanillos) ELLIS Nijmegen Unit | AI Robotics Lab Donders Institute for Brain, Cognition and Behaviour | Radboud University Nijmegen

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PhD in Long-term Action Recognition & Tracking
by Stratis Gavves 29 Apr '21

29 Apr '21

Dear all, Do you know someone interested in Long-term Action Recognition & Tracking and designing the next-gen deep neural networks for long and complex videos? We are looking for an enthusiastic and driven researcher, Ph.D. application deadline by May 25. For more details on the position, please check the vacancy post: https://www.uva.nl/en/content/vacancies/2021/04/21-281-phd-position-long-te… The position will be supervised by Associate Professor Dr. Efstratios Gavves at the University of Amsterdam, director of QUVA Lab, and director of POP-AART Lab. The position is fully funded by ERC Starting Grant and NWO VIDI. For any questions, you can send an email at egavves(a)uva.nl<mailto:egavves@uva.nl>. Please, share! Best, Stratis

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PhD in Space-time Neural Nets & Dynamical Systems
by Stratis Gavves 29 Apr '21

29 Apr '21

Dear all, Do you know someone interested in Space-time Neural Nets & Dynamical Systems, chaos theory, (stochastic) Partial Differential Equations? We are looking for an enthusiastic and driven researcher, Ph.D. application deadline by May 25. For more details on the position, please check the vacancy post: https://www.uva.nl/en/content/vacancies/2021/04/21-282-phd-position-spatiot… The position will be supervised by Associate Professor Dr. Efstratios Gavves at the University of Amsterdam, director of QUVA Lab, and director of POP-AART Lab. The position is fully funded by ERC Starting Grant and NWO VIDI. For any questions, you can send an email at egavves(a)uva.nl<mailto:egavves@uva.nl>. Please, share! Best, Stratis

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open SNN positions at CWI
by Sander Bohte 28 Apr '21

28 Apr '21

At CWI, there are two open positions: one for a tenure tracker and one a post-doc position. Both positions are related to spiking neural networks in the broadest algorithmic sense, somewhat geared towards neuromorphic engineering. I would be most obliged if you can suggest potential candidates or directly make them aware of these opportunities. Kind regards, Sander Bohte Tenure Track position in Neuromorphic Computing: https://www.cwi.nl/jobs/vacancies/877543 PD position in Spiking Neural Networks: https://www.cwi.nl/jobs/vacancies/878076

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PhD position in Causal Inference for Multi-Agent Systems at Utrecht University
by Ommen, M. van (Thijs) 26 Apr '21

26 Apr '21

We are looking for an enthusiastic candidate to investigate and implement causal inference methods for multi-agent systems. You will collaborate with another candidate as part of the CAUSES project, which is fully funded by the Dutch research organisation NWO and the Dutch railway infrastructure organisation ProRail. ProRail will also provide the data for this project. This is a full-time position for 4 years at Utrecht University. For more information, and to apply, please see the following link: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… Application deadline: 15 May

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CWI seminar Nathanial Trask (Sandia Labs)
by Wouter Edeling 22 Apr '21

22 Apr '21

Dear All, Thursday the 29th we will have the next speaker in our CWI seminar for machine learning and uncertainty quantification in scientific computing, at 16:15 CET. Nathaniel Trask from Sandia National Labs in New Mexico will present his work on structure preserving deep learning architectures. You can find the zoom link and abstract below. If you feel this talk would be of interest to any of your colleagues, feel free to share the zoom link. Best regards, Wouter Edeling Join Zoom Meeting https://cwi-nl.zoom.us/j/82098750344?pwd=V1RwN0MyMnJCdWlCaW1tY1pBaDBTQT09 Meeting ID: 820 9875 0344 Passcode: 051962 29 Apr. 2021 16h15: Nathaniel Trask (Sandia): Structure preserving deep learning architectures for convergent and stable data-driven modeling The unique approximation properties of deep architectures have attracted attention in recent years as a foundation for data-driven modeling in scientific machine learning (SciML) applications. The "black-box" nature of DNNs however require large amounts of data that generalize poorly in traditional engineering settings where available data is relatively small, and it is generally difficult to provide a priori guarantees about the accuracy and stability of extracted models. We adopt the perspective that tools from mimetic discretization of PDEs may be adapted to SciML settings, developing architectures and fast optimizers tailored to the specific needs of SciML. In particular, we focus on: realizing convergence competitive with FEM, preserving topological structure fundamental to conservation and multiphysics, and providing stability guarantees. In this talk we introduce some motivating applications at Sandia spanning shock magnetohydrodynamics and semiconductor physics before providing an overview of the mathematics underpinning these efforts.

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Machine-learning-nederland April 2021