- Machine-learning-nederland

PhD position in epistemology of machine learning (3y), MCMP, LMU Munich
by Tom Sterkenburg 28 Mar '24

28 Mar '24

The Emmy Noether junior research group "From Bias to Knowledge: The Epistemology of Machine Learning," led by Dr. Tom Sterkenburg, investigates the philosophical foundations of machine learning. The group's main aim is to improve our understanding of inductive bias, by building bridges between the philosophy of science and the mathematical theory of machine learning. The group is embedded within the Munich Center for Mathematical Philosophy (MCMP) at LMU Munich. We are looking for a PhD candidate with an excellent master's degree in philosophy, logic, computer science, or related areas. You have a background and strong interest in the philosophy of artificial intelligence and/or philosophy of science, and ideally affinity with the mathematics and epistemology of machine learning. Deadline for applications: 1 May 2024. Intended starting date: 1 October 2024. For further information, please see https://job-portal.lmu.de/jobposting/fc186685c55c8407077908d81755f8881e4265….

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Associate Professor Position in Fundamental Machine Learning at TU Delft
by Jesse Krijthe 22 Mar '24

22 Mar '24

Associate Professor Position in Fundamental Machine Learning at TU Delft We are looking for an enthusiastic new colleague to come work with us on fundamental topics in machine learning. For more information and details on the application procedure, please see: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?… Application deadline: 15 April 2024

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CWI seminar Nils Thuerey
by Wouter Edeling 19 Mar '24

19 Mar '24

Dear all, The next speaker in our Seminar for machine learning and UQ in scientific computing will be Nils Thuerey, associate-professor at the TU Munich. He will talk about creating probabilistic surrogates using diffusion models and differentiable solvers, see the abstract below. The talk will take place at 11AM CET. For those at CWI, the location will be L017 and a Zoom link is attached for online attendees. Kind regards, Wouter Edeling Join Zoom Meeting https://cwi-nl.zoom.us/j/84894449753?pwd=Z3VYY2sxVEJDdDJMdUhmcGwyUXdzUT09 Meeting ID: 848 9444 9753 Passcode: 631919 28 March 2024 11h00 CET, Nils Thuerey, Probabilistic Fluid Simulations: Diffusion Models & Differentiable Solvers This talk focuses on the possibilities that arise from recent advances in the area of deep learning for physics simulations. In particular, it will focus on diffusion modeling and numerical solvers which are differentiable. These solvers provide crucial information for deep learning tasks in the form of gradients, which are especially important for time-dependent processes. Also, existing numerical methods for efficient solvers can be leveraged within learning tasks. This paves the way for hybrid solvers in which traditional methods work alongside pre-trained neural network components. In this context, diffusion models and score matching will be discussed as powerful building blocks for training probabilistic surrogates. The capabilities of the resulting methods will be illustrated with examples such as wake flows and turbulent flow cases.

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Workshop on Computational and Mathematical Methods in Data Science 2024 at the Delft University of Technology on April 25 and 26, 2024
by Alexander Heinlein 20 Feb '24

20 Feb '24

Dear colleagues, The GAMM Activity Group on “Computational and Mathematical Methods in Data Science” (COMinDS) and the Strategic Research Initiative “Bridging Numerical Analysis and Machine Learning” of the Applied Mathematics Institute of the Dutch technical universities (4TU.AMI) will co-organize the Workshop on Computational and Mathematical Methods in Data Science 2024 at the Delft University of Technology on April 25 and 26, 2024. This workshop brings together scientists from mathematics, computer science, and application areas working on computational and mathematical methods in data science. We cordially invite you to participate in the workshop. Registration is open now until April 1, 2024. Please visit https://searhein.github.io/gamm-cominds-2024/ for more information. Best regards, Alexander Heinlein -- ================================================================================================ Alexander Heinlein Delft University of Technology (TU Delft) Delft Institute of Applied Mathematics (DIAM) Mekelweg 4, 2628CD Delft, Netherlands https://searhein.github.io ================================================================================================

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Two PhD vacancies in Stochastic Operations Research at the University of Twente
by Zander, Anne (UT-EEMCS) 16 Feb '24

16 Feb '24

Dear colleagues, We are inviting applications for two PhD positions in Stochastic Operations Research at the University of Twente. Brief descriptions are provided below. For more details and contact information, please follow the provided links. Please feel free to share this announcement with potential candidates. Thank you very much! With kind regards, Anne Zander and Janusz Meylahn Two PhD vacancies in Stochastic Operations Research at the University of Twente PhD position on Hybrid Methods for Sequential Decision-Making Based on Operation Research and Reinforcement Learning The PhD project aims to develop new hybrid methods for Sequential Decision Problems often encountered in Operations Research. The PhD student will integrate Reinforcement Learning methods into Operations Research methods to combine planning by looking ahead and learning from previous experience. For more information, visit: https://utwentecareers.nl/en/vacancies/1649/phd-position-on-hybrid-methods-… PhD position on understanding algorithmic collusion by decentralized multiagent reinforcement learning This PhD position offers you the opportunity to join an international and interdisciplinary community of researchers getting to grips with the dynamics of decentralized multiagent reinforcement learning. Your contributions will be from the perspective of applied mathematics but will be strongly motivated by social welfare considerations. For more information, visit: https://utwentecareers.nl/en/vacancies/1633/phd-position-on-understanding-a…

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2 PhD positions in Department of Business Analytics, UvA
by Tim van Erven 15 Feb '24

15 Feb '24

Forwarding on behalf of Ilker Birbil: -- Dear colleagues, We are inviting applications for two PhD positions at the Department of Business Analytics, University of Amsterdam. The positions will be available starting May 2024 or later. Brief descriptions are provided below. For more details and contact information, please follow the provided links. Please feel free to share this announcement with potential candidates. Thank you very much. Best regards, Ilker Birbil *Two Ph.D. Vacancies at the Department of Business Analytics, University of Amsterdam* *PhD in Explainable Decision Making* We invite applications for a PhD position in operations research with a computer science orientation. In this research, the candidate will build the foundation for explainable decision-making and introduce models to provide explanations for different classes of optimization problems. Solution algorithms will be developed and tested on real-world instances of operations research problems. For more information, visit: https://vacatures.uva.nl/UvA/job/PhD-in-Explainable-Decision-Making/7868354… *PhD in Statistics & Machine Learning* Are you eager to apply cutting-edge machine-learning techniques, develop innovative algorithms, and tackle real-life challenges? Then we're looking for you! We offer a PhD position in Statistics and Machine Learning at UvA. We seek highly motivated candidates who aspire to excel in academia. For more information, visit: https://vacatures.uva.nl/UvA/job/PhD-in-Statistics-and-Machine-Learning/786…

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Two Ph.D. vacancies at the Department of Business Analytics, University of Amsterdam
by Ilker Birbil 15 Feb '24

15 Feb '24

Dear colleagues, We are inviting applications for two PhD positions at the Department of Business Analytics, University of Amsterdam. The positions will be available starting May 2024 or later. Brief descriptions are provided below. For more details and contact information, please follow the provided links. Please feel free to share this announcement with potential candidates. Thank you very much. Best regards, Ilker Birbil Two Ph.D. Vacancies at the Department of Business Analytics, University of Amsterdam PhD in Explainable Decision Making We invite applications for a PhD position in operations research with a computer science orientation. In this research, the candidate will build the foundation for explainable decision-making and introduce models to provide explanations for different classes of optimization problems. Solution algorithms will be developed and tested on real-world instances of operations research problems. For more information, visit: https://vacatures.uva.nl/UvA/job/PhD-in-Explainable-Decision-Making/7868354… PhD in Statistics & Machine Learning Are you eager to apply cutting-edge machine-learning techniques, develop innovative algorithms, and tackle real-life challenges? Then we're looking for you! We offer a PhD position in Statistics and Machine Learning at UvA. We seek highly motivated candidates who aspire to excel in academia. For more information, visit: https://vacatures.uva.nl/UvA/job/PhD-in-Statistics-and-Machine-Learning/786…

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PhD and postdoc positions in mathematical statistics at University of Twente
by Schmidt-Hieber, Johannes (UT-EEMCS) 13 Feb '24

13 Feb '24

Dear Colleagues, We invite applications for one PhD (4 years) and two postdoc positions (2-3 years) at the University of Twente, the Netherlands. These positions are part of my ERC grant. The project aims to extend the currently developed statistical theory for artificial neural networks to biological neural networks. Starting date is May 2024 or later. Applicants should apply via https://utwentecareers.nl/en/vacancies/1598/phd-position-on-statistical-the… for the PhD position and https://utwentecareers.nl/en/vacancies/1599/postdoc-positions-on-statistica… for the postdoc positions. The application deadline has been set to the end of February. Feel free to forward this announcement to potential candidates. For questions, please contact me via a.j.schmidt-hieber(a)utwente.nl. Best regards, Johannes Schmidt-Hieber

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PhD position "Machine Learning for Automated Reasoning" (fully funded) @ University of Amsterdam
by Balder ten Cate 06 Feb '24

06 Feb '24

Are you interested to work, in an interdisciplinary research setting, on topics at the intersection of logic, machine learning and automated reasoning? The Institute for Logic, Language and Computation (ILLC) of the University of Amsterdam is looking for a talented PhD candidate. Your research will concern the use of machine learning for automated reasoning (such as mathematical theorem proving and/or declarative constraint-based reasoning). See https://vacatures.uva.nl/UvA/job/PhD-Position-on-Machine-Learning-for-Autom… for more information. The deadline for applications is March 11, 2024.

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BeNeRL Reinforcement Learning Seminar: Pierluca D'Oro from Mila (Feb 8, this Thursday)
by Yang, Z. (Zhao) 05 Feb '24

05 Feb '24

Dear colleagues, Our next BeNeRL Reinforcement Learning Seminar (Feb 8) is coming: Speaker: Pierluca D'Oro (https://proceduralia.github.io), PhD student at Mila. Title: On building World Models better than reality Date: February 8, 16.00-17.00 (CET) Please find full details about the talk below this email and on the website of the seminar series: https://www.benerl.org/seminar-series The goal of the online BeNeRL seminar series is to invite RL researchers (mostly advanced PhD or early postgraduate) to share their work. In addition, we invite the speakers to briefly share their experience with large-scale deep RL experiments, and their style/approach to get these to work. We would be very glad if you forward this invitation within your group and to other colleagues that would be interested (also outside the BeNeRL region). Hope to see you on February 8! Kind regards, Zhao Yang & Thomas Moerland Leiden University —————————————————————— Upcoming talk: Date: Feburary 8, 16.00-17.00 (CET) Speaker: Pierluca D'Oro (https://proceduralia.github.io) Title: On building World Models better than reality Zoom: https://universiteitleiden.zoom.us/j/65545185867?pwd=VWNXQ2FYUXFXbSsvVy9tTE… Abstract: Can a world model lead to better policies than the real world when used for reinforcement learning? The talk discusses this question, dissecting the features a world model should have to be useful for policy optimization, and discussing scalable techniques to learn world models that lead to successful policies. Bio: Pierluca D'Oro is a last-year PhD student at Mila, supervised by Pierre-Luc Bacon and Marc G. Bellemare, and a Visiting Researcher at Meta in Montreal. He works on the science of AI agents.

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Machine-learning-nederland