- Machine-learning-nederland

PhD position in 'predicting brain connectivity using Bayesian nonparametric regression'
by Hinne, M. (Max) 11 May '21

11 May '21

Dear colleagues, We are looking for a highly motivated candidate to work with us at the Artificial Intelligence department at the Donders Institute at the Radboud University Nijmegen. The PhD project consists of developing Bayesian nonparametric methods, in order to study how brain networks change with time, age, as well as disease. The position is fully funded (4 years at 1.0 FTE or 5 years at 0.8 FTE). More details can be found at https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1152072. The application deadline is June 13th. If you know anyone in your network who might be interested in this position, please let them know. Kind regards, Max Hinne Dr. Max Hinne Assistant Professor Department of Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen Room B.00.67b Available Mon / Tue / Thu / Fri http://www.maxhinne.com<http://www.maxhinne.com/>

1 0

First Conference of Young Applied Mathematicians in Leuca
by YAMC Conference of Young Applied Mathematicians 07 May '21

07 May '21

Dear all, We are writing you to promote the "First Conference of Young Applied Mathematicians in Leuca", an event that will be held between the 13th and the 17th of September 2021 in Santa Maria di Leuca (LE), Italy. The conference is mainly aimed at PhD students, but also Master's students and postdocs, interested in the fields of mathematical modelling, numerical analysis, statistics, and machine learning. All the participants will have the possibility to present their research works. For more details, please see the website (which is continuously being updated): http://www.yamc.it/ Official registrations are not open yet, but we kindly ask interested people to compile the following Google Form: https://forms.gle/CRug5h6SxjTP1vTy8 Depending on the responses, in the next weeks, a program of the event will be prepared and posted on the website. We kindly ask you to help us publicize the event. For any questions, please contact us at phdworkshopleuca(a)gmail.com Thank you. Best regards, The organizers G. Auricchio, A. Codegoni, M. Fisher, L. Zambon and U. Zerbinati

1 0

Open PhD position in Mathematics at Vrije Universiteit Amsterdam
by Alessandro Zocca 04 May '21

04 May '21

Dear colleagues, There is an open fully-funded 4-year PhD position under my supervision at the Department of Mathematics of Vrije Universiteit Amsterdam. The PhD project will focus on learning and stochastic optimization for power networks, which are increasingly affected by uncertainty due to a quickly growing adoption of renewable energy sources. The project aims at using and expanding mathematical knowledge to better understand and optimize these complex networks, especially in combination with the large amount of newly-available data. The PhD candidate will use modern methods in (stochastic) optimization, applied probability, operations research, and learning theory to develop both new theory and algorithms. The preferred starting date is September 1, 2021. The candidates are expected to have a Master's degree in Mathematics, Computer Science, or Operations Research, and a solid background in stochastics and optimization. For more information (including eligibility criteria, salary, and employment conditions) see https://workingat.vu.nl/ad/phd-position-on-learning-and-stochastic-optimiza…. Please apply online at the same link, the deadline is June 1, 2021, but early applications are encouraged. If you have any further questions regarding this vacancy, feel free to reach out to me by email at a.zocca(a)vu.nl. Please feel free to advertise this position further and bring it to the attention of potentially interested candidates. Thank you in advance. Best wishes, Alessandro ================================= Alessandro Zocca (he/his) Assistant Professor Vrije Universiteit Amsterdam Department of Mathematics https://sites.google.com/site/zoccaale/

1 0

[CfP] 2nd International Workshop on Active Inference at the European Conference on Machine Learning (ECML/PKDD 2021)
by Lanillos Pradas, P.L. (Pablo) 02 May '21

02 May '21

We are delighted to announce the *2nd International Workshop on Active Inference IWAI2021*, in conjunction with the European Conference on Machine Learning (ECML/PKDD 2021) that will be held *VIRTUALLY* in September 2021 in Bilbao, Spain. *CALL FOR PAPERS* The 2nd International Workshop on Active Inference wants to bring together researchers on active inference as well as related research fields in order to discuss current trends, novel results, (real-world) applications, to what extent active inference can be used in modern machine learning settings, such as deep learning, and how it can be unified with the latest psychological and neurological insights. Website: https://iwaiworkshop.github.io/ Twitter: @iwai_ws *Important dates* Workshop Date: September 13th or 17th, 2021 to be decided with the ECML conference Abstract Submission Deadline: June 9th, 2021 Paper Submission Deadline: June 23rd, 2021 Acceptance Notification: July 28th, 2021 *Topics of interest* Papers on all subjects and applications of active inference and related research areas are welcome. - Active inference - (Bayesian) surprise - Cognitive robotics - Control as inference - Variational inference - Computational neuroscience - (Deep) generative models - State-space models - Representation learning - Intrinsic motivation - Intelligent systems - Decision making in economics - etc *Paper submissions* We welcome submissions of papers with up to 8 printed pages (excluding references) in LNCS format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… Submissions will be evaluated according to their originality and relevance to the workshop, and should have an abstract of 60-100 words. Contributions should be in PDF format and submitted via Easychair: https://easychair.org/conferences/?conf=iwai2021 In accordance with the main conference, will apply a double-blind review process (see also the double-blind reviewing process section below for further details). All papers need to be anonymized in the best of efforts. It is allowed to have a (non-anonymous) online pre-print. Reviewers will be asked not to search for them. Previous edition: https://iwaiworkshop.github.io/2020.html Previous proceedings: https://www.springer.com/gp/book/9783030649180 On behalf of the organizers, Tim Verbelen, Daniela Cialfi, Maxwell Ramstead, Christopher Buckley and Pablo Lanillos --- Dr. Pablo Lanillos www.therobotdecision.com Assistant professor in Cognitive Artificial Intelligence | AI Robotics Lab ELLIS Nijmegen Unit Donders Institute for Brain, Cognition and Behaviour, the Netherlands p.lanillos @ donders.ru.nl

1 0

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

1 0

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

1 0

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

1 0

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

1 0

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

1 0

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.

1 0

2024

2023

2022

2021

2020

Machine-learning-nederland