Machine-learning-nederland May 2021

machine-learning-nederland@list.uva.nl

9 participants
12 discussions

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/

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[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

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Machine-learning-nederland May 2021