- Machine-learning-nederland

[Jobs] postdoctoral researcher on brain-inspired machine learning
by Lanillos Pradas, P.L. (Pablo) 24 Feb '22

24 Feb '22

The Donders Institute is looking for a postdoctoral researcher on brain-inspired machine learning for DEEPSELF, a joint project between the Donders Institute (Netherlands, supervision: Pablo Lanillos) and Tübingen University (Germany, supervision: Martin Butz), funded by the German Research Foundation (DFG). DEEPSELF is an interdisciplinary project that aims to study the emergence of the agency metacognition ability by learning hierarchical predictive encodings of events. ··············································· Detailed information, candidate profile and application here: https://www.ru.nl/english/working-at/vacature/details-vacature/?recid=11839… Deadline: 6 March 2022 ··············································· If you have any doubt about this great opportunity please do not hesitate to contact me. You will work in an international project team in close collaboration with two PhD candidates and the principal investigators. You will join an exciting and vibrant young team of experts in machine learning, artificial intelligence and robotics, and become part of a big community of ~20 interdisciplinary research projects under the Active Self DFG priority programme umbrella. Thus, you will have the opportunity to take leadership responsibilities and considerably increase the research network. Furthermore, you will participate in summer schools and events organised within the framework of the priority programme. After completion of the project, you will have opportunities to continue in academia and industry. We strongly encourage submissions from different representative minorities. --------------- Dr. Pablo Lanillos (Twitter @PLanillos) Tenured Assistant Professor in Cognitive Artificial Intelligence ELLIS Nijmegen Unit | AI Robotics Lab Donders Institute for Brain, Cognition and Behaviour | Radboud University Nijmegen Prof. Dr. Martin V. Butz Computer Science, Cognitive Modeling Eberhard Karls Universität Tübingen | Germany

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MMLL webinar series
by Joris Mooij 23 Feb '22

23 Feb '22

The Mercury Machine Learning Lab (MMLL) would like to invite you to the MMLL online seminar series. Register now for the kickoff webinar! Date: March 10 Time: 15:00-16:30 Speaker: prof. Juan D. Correa (Universidad Autónoma de Manizales) Title: Generalization of Causal and Statistical Quantities under Transportability and Selection Bias The event will last 1.5 hours in total. It will start with a 20-minute intro about the lab and its objectives, followed by a 40-minute talk by the keynote speaker and a 15-minute Q&A session. The Mercury Machine Learning Lab is a collaboration between University of Amsterdam, Delft University of Technology and Booking.com. The lab focuses on the development and applications of artificial intelligence to the specific domain of online travel booking and recommendation service systems. The MMLL online webinar series will consist of four webinars, focussing on causality, information retrieval, natural language processing, and reinforcement learning. For more details and registration, see https://www.meetup.com/Innovation-Center-for-Artificial-Intelligence/events…

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General Mathematics Colloquium (KdVI) - Max Welling - March 4
by Eni Musta 22 Feb '22

22 Feb '22

Dear colleagues, Our next meeting in the General Mathematics Colloquium series at the Korteweg-de Vries Institute for Mathematics (UvA) is on Friday, March 4 at 16.00. Max Welling (UvA) will speak about "Symmetries in Deep Learning with applications to Molecular Science". The colloquium will be in Science Park 904 room C0.110 and can also be joined via Zoom https://uva-live.zoom.us/j/84560653677<https://eur04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fuva-live.…> If you are interested in attending the talk, the abstract will be announced soon on the colloquium webpage https://staff.fnwi.uva.nl/j.zuiddam/gen-math-colloq/ We are looking forward to seeing you then! Best wishes, Krystal, Eni and Jeroen (Organizers of the General Mathematics Colloquium KdVI)

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CWI seminar Laura Scarabosio
by Wouter Edeling 17 Feb '22

17 Feb '22

Dear all, We are starting again with our CWI seminar for Machine Learning and Uncertainty Quantification for Scientific Computing. The first speaker will be Laura Scarabosio from Radboud University, on Thursday the 24th of February at 3PM CET. She will talk about using neural networks to build surrogates for models with high-dimensional input spaces, I've included the abstract below. Hope to see you all there, Wouter Edeling 24 Feb. 2022 15h00 CET: Laura Scarabosio (Radboud University): Deep neural network surrogates for transmission problems with geometric uncertainties We consider the point evaluation of the solution to interface problems with geometric uncertainties, where the uncertainty in the obstacle is described by a high-dimensional parameter, as a prototypical example of non-smooth dependence of a quantity of interest on the parameter. We focus in particular on an elliptic interface problem and a Helmholtz transmission problem. The non-smooth parameter dependence poses a challenge when one is interested in building surrogates. In this talk we propose to use deep neural networks for this purpose. We provide a theoretical justification for why we expect neural networks to provide good surrogates. Furthermore, we present numerical experiments showing their good performance in practice. We observe in particular that neural networks do not suffer from the curse of dimensionality, and we study the dependence of the error on the number of point evaluations (which coincides with the number of discontinuities in the parameter space), as well as on several modeling parameters, such as the contrast between the two materials and, for the Helmholtz transmission problem, the wavenumber. Topic: CWI UQ+ML seminar Laura Scarabosio Time: Feb 24, 2022 03:00 PM Amsterdam Join Zoom Meeting https://cwi-nl.zoom.us/j/83713124696?pwd=UWJTbFBTc1FUZGxYbUNIRzlSbDZZZz09 Meeting ID: 837 1312 4696 Passcode: 432651

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Fully funded PhD position at the U. of Groningen
by Michael Biehl 10 Feb '22

10 Feb '22

*Not quite three weeks left to apply! * A *fully funded PhD position* (4 years) in the *Statistical **Physics of Neural Networks* is available at the University of Groningen, The Netherlands, see https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… for details and application details. Applications *(before March 1)* are only possible through this webpage. The title of the project is "The role of the activation function for feedforward learning systems (RAFFLES)". For further information please contact Michael Biehl. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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prediction modeling for hip OA, Ph.D. student
by Marco Loog 07 Feb '22

07 Feb '22

Ph.D. student vacancy in prediction modeling using artificial intelligence for hip osteoarthritis with Erasmus MC [EMC] and Delft University of Technology [TU Delft]. See the vacancy text for details: https://www.werkenbijerasmusmc.nl/en/vacancy/64984/phd-student-project-hips…

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Call for Paper: [Sensors] (IF: 3.576, ISSN: 1424-8220) — Special Issue "Infra-Operative Imaging, Sensing and Augmented Reality in Image-Guided Surgery"
by Charlene Dong 26 Jan '22

26 Jan '22

Dear Colleagues, We are pleased to share with you that the Special Issue "Infra-Operative Imaging, Sensing and Augmented Reality in Image-Guided Surgery" in the open access journal Sensors (ISSN 1424-8220, IF 3.576), is open for submission: Special Issue Website at: https://www.mdpi.com/si/sensors/image_guided_sens Guest editors: Prof. Dr. Guoyan Zheng, Prof. Dr. Wenyong Liu and Prof. Dr. Xiaojun Chen Image-guided surgery (IGS) has gained widespread acceptance in various clinical practices. Although the core concepts of IGS have not changed, advances in image guidance technology, including the incorporation of intra-operative imaging, sensing and augmented reality, have the potential to enhance the safety of surgery, improve the accuracy of interventions, and aid in more complete surgery, with improved outcomes. In the past few years, significant progresses have been achieved in developing novel intra-operative imaging means, in incorporating smart sensing technology and in the introduction of new augmented reality display. This Special Issue is open to research and review papers in this field, including, but not limited to: • Intra-operative imaging • Robotic imaging • Surgical imaging and vision • Intra-operative sensing, perception and recognition • Augmented reality in IGS • Multi-modal image fusion and visualization If you decide to contribute to this special issue or have any question, please contact charlene.dong(a)mdpi.com. Kind regards, Ms. Charlene Dong Email: charlene.dong(a)mdpi.com Sensors (http://www.mdpi.com/journal/Sensors/) MDPI Branch Office, Beijing Sensors Editorial Office E-mail: sensors(a)mdpi.com http://www.mdpi.com/journal/sensors/ MDPI http://www.mdpi.com/ St. Alban-Anlage 66 4052 Basel Switzerland

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Call for Paper: [Sensors] (IF: 3.576, ISSN: 1424-8220) — Special Issue "Infra-Operative Imaging, Sensing and Augmented Reality in Image-Guided Surgery"
by Charlene Dong 26 Jan '22

26 Jan '22

Dear Collegaues, We are pleased to share with you that the Special Issue "Infra-Operative Imaging, Sensing and Augmented Reality in Image-Guided Surgery" in the open access journal Sensors (ISSN 1424-8220, IF 3.576), is open for submission: Special Issue Website at: https://www.mdpi.com/si/sensors/image_guided_sens Guest editors: Prof. Dr. Guoyan Zheng, Prof. Dr. Wenyong Liu and Prof. Dr. Xiaojun Chen Image-guided surgery (IGS) has gained widespread acceptance in various clinical practices. Although the core concepts of IGS have not changed, advances in image guidance technology, including the incorporation of intra-operative imaging, sensing and augmented reality, have the potential to enhance the safety of surgery, improve the accuracy of interventions, and aid in more complete surgery, with improved outcomes. In the past few years, significant progresses have been achieved in developing novel intra-operative imaging means, in incorporating smart sensing technology and in the introduction of new augmented reality display. This Special Issue is open to research and review papers in this field, including, but not limited to: • Intra-operative imaging • Robotic imaging • Surgical imaging and vision • Intra-operative sensing, perception and recognition • Augmented reality in IGS • Multi-modal image fusion and visualization If you decide to contribute to this special issue or have any question, please contact charlene.dong(a)mdpi.com. Kind regards, Ms. Charlene Dong Email: charlene.dong(a)mdpi.com Sensors (http://www.mdpi.com/journal/Sensors/) MDPI Branch Office, Beijing Sensors Editorial Office E-mail: sensors(a)mdpi.com http://www.mdpi.com/journal/sensors/ MDPI http://www.mdpi.com/ St. Alban-Anlage 66 4052 Basel Switzerland

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Tenure track position Ghent University
by Stijn Luca 24 Jan '22

24 Jan '22

Tenure track position on “Computational design of biosystems” available at the Department of Data Analysis and Mathematical Modelling of the Faculty of Bioscience Engineering, Ghent University, Belgium. The Faculty of Bioscience Engineering at the Ghent University is looking for a Professor in a tenure track system, in the discipline of Computational design of biosystems. On the one hand, the candidate is expected to lecture various courses, supervise bachelor and master thesis students and contribute to post-academic programs. On the other hand, the candidate conducts research in the modelling, algorithmic design and optimization of biosystems. Part of this academic research also consists of publishing in international scientific peer-reviewed journals and attracting funding and PhD students. The candidate’s position will be funded for an initial period of 5 years and will be converted into a permanent appointment as an associate professor after a positive evaluation by the University Board. A € 210.000 package will also be provided as a starting grant. The complete vacancy<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcareer012…> can be found on the job page of Ghent University. Interested candidates are expected to submit their application before the 23rd of February 2022 through the e-recruitment system on this page. [cid:image001.png@01D8113A.67B4B0E0]<https://www.ugent.be/bw> Prof. dr. Stijn Luca Assistant professor T +32 9 264 59 34 Department Data Analysis and Mathematical Modelling Research Unit BIOSTAT: Biostatistics www.biostat.ugent.be<http://www.biostat.ugent.be/> Campus Coupure, Block A 1st floor 110.068, Coupure links 653, B-9000 Ghent, Belgium directions<https://www.google.com/maps/dir/Coupure+Links+653,+9000+Gent/@51.0527795,3.…> T administration office +32 9 264 59 32 www.ugent.be<https://www.ugent.be/bw/en> e-maildisclaimer<https://helpdesk.ugent.be/e-maildisclaimer.php>

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Invitation: Belgium-Netherlands workshop on Reinforcement Learning (BeNeRL), June 3, 2022 @ Leiden University
by Moerland, T.M. (Thomas) 20 Jan '22

20 Jan '22

Dear reinforcement learning researchers, We kindly invite you to participate in the next Belgium-Netherlands workshop on Reinforcement Learning (BeNeRL). Date: The event is scheduled for Friday June 3, 2022, at Leiden University. Hopefully, by June the corona numbers have decreased enough again to have a physical event. Programme: The BeNeRL is a one-day informal workshop, which features several invited speakers and plenty of time for interaction among participants. We especially invite PhD students to bring along a poster. Registration: For full details on the programme, and a link for registration, please visit: https://rlg.liacs.nl/benerl-2022. Please register as soon as possible, so we can try to arrange additional capacity if necessary. Forward: It is unlikely we managed to gather all relevant email addresses - please forward this email within your institute, or to any colleague who would be interested. Hope to see you in June! Kind regards, Thomas Moerland & Aske Plaat

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Machine-learning-nederland