- Machine-learning-nederland

Fwd: Posting a vacancy
by Tim van Erven 01 Sep '22

01 Sep '22

-------- Forwarded Message -------- Subject: Posting a vacancy Date: Thu, 1 Sep 2022 20:35:43 +0200 From: Joaquin Vanschoren <joaquin.vanschoren(a)gmail.com> To: machine-learning-nederland-owner(a)list.uva.nl Hi ml-ned, I'd like to post an ML vacancy at TU Eindhoven on the ml-ned mailing list. Would that be possible? The message is below. Many thanks! Joaquin Vanschoren Subject: Research Engineer position in Machine Learning The department of Computer Science of the Eindhoven University of Technology is looking for an enthusiastic research engineer to help build an open platform for Al research, interoperable with other platforms (e.g OpenML, HuggingFace), and leveraging Al to automatically organize datasets, models, code, run benchmarks, and check data quality. For more information and to apply, please see: https://jobs.tue.nl/en/vacancy/research-engineer-artificial-intelligence-95… Please apply before September 9th.

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YES workshop on "Optimal Transport, Statistics, Machine Learning and moving in between"
by Pires da Silva Castro, Rui 31 Aug '22

31 Aug '22

Last announcement: ---- Dear Colleagues, The YES workshop "Optimal Transport, Statistics, Machine Learning and moving in between” will take place 5-9 September 2022 in Eurandom, Eindhoven. This workshop is part of the series of Young European Statistician workshops, but has a broader scope than usual. We are very happy to feature tutorial talks by world experts Marco Cuturi (CREST-ENSAE, Apple ML Research), Jonathan Niles-Weed (NYU) and Yoav Zemel (University of Cambridge). In addition to this, there will be talks by several invited and contributed speakers. For the program, registration and more information please visit the conference website: https://www.eurandom.tue.nl/event/workshop-yes-optimal-transport-statistics…<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.euran…> Best wishes, The organizers (Rui Castro, Augusto Gerolin, Johannes Schmidt-Hieber, Oliver Tse)

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Neuromorphic Computing Netherlands (NCN2022) - 30-09-2022
by Lanillos Pradas, P.L. (Pablo) 22 Aug '22

22 Aug '22

NEUROMORPHIC COMPUTING NETHERLANDS (NCN2022) We kindly invite you to the 2nd edition of the Neuromorphic Computing Netherlands (NCN2022) Workshop hosted this year at Radboud University Nijmegen. Neuromorphic Computing inspired by computation in the brain is rapidly growing in high-tech research as the principal paradigm for EdgeAI. In this workshop, we aim to bring together researchers and practitioners from different disciplines working with neuromorphic technology to discuss trends from algorithmic, architectural, and application domains across the Netherlands. For this edition, the leitmotif is: control and learning. The event is free, but registration is required. Date: 30th September 2022, 11.30 – 18.00h (CEST) Website: http://spikeference.eu/?page_id=558 Location (hybrid): Robot Atrium – MM 01.430 & MM 01.573 (room + poster / lunch space) Maria Montessori building | Thomas van Aquinostraat 4, 6525 GD Nijmegen. AI Department, Donders Center of Cognition, Radboud University Nijmegen. Keynote speakers: Charlotte Frenkel (TU Delft) and Christian Machens (Champalimaud Centre, Portugal) Registration (Deadline 12th September): https://www.ru.nl/ai/vm/neuromorphic-computing-netherlands-ncn2022/ In the registration process, you can apply to give a presentation, bring a poster or only attend. Please be aware that we have limited space, and the in-person registration will close when full. If you cannot attend but want to watch the presentations you can also register to get the online link. Program: TBA Contact persons: Registration: Mahyar Shahsavari | General: Sander Keemink Organizing committee: Sander Keemink, Mahyar Shahsavari, Justus Hüboter, Johan Kwisthout, Marcel van Gerven, Bodo Rückauer, Pablo Lanillos. On behalf of the organizing committee, looking forward to seeing you all in September! Supported by - Donders Institute - Spikeference.eu project (HBP) - NWO --- Dr. Pablo Lanillos www.therobotdecision.com Tenured 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 --- Dr. Pablo Lanillos www.therobotdecision.com<http://www.therobotdecision.com> Tenured 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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PhD position in Causal Discovery
by Ommen, M. van (Thijs) 05 Aug '22

05 Aug '22

The department of Information and Computing Sciences of Utrecht University is looking for an enthusiastic candidate to work in the area of causal discovery. Possible projects include the investigation of algebraic constraints imposed by linear structural equation models, and the development of powerful and efficient causal discovery algorithms that can use such constraints to find the causal graph that best fits the data. For more information and to apply, please see: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… Application deadline: 29 August

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[jobs] PhD in causal representation learning on multimodal data at University of Amsterdam (deadline: 15 September)
by Sara Magliacane 04 Aug '22

04 Aug '22

Are you interested in applying ideas from the exciting new field of causal representation learning (https://crl-uai-2022.github.io/) to multimodal data, e.g., images, text, etc.? Are you excited about investigating fundamental questions and developing a unified principled framework, but also testing them empirically? The Intelligent Data Engineering Lab at the University of Amsterdam ( www.uva.nl) is seeking a motivated PhD student in the area of causality, causal representation learning and multimodal data fusion. You will be working under the supervision of dr. Sara Magliacane ( https://twitter.com/saramagliacane) and prof. Paul Groth ( https://indelab.org/) on a new fundamental research project, funded by the US Air Force Office of Scientific Research, aimed at creating foundational theory and methods for extracting and fusing causal knowledge from multiple modalities. Deadline: September 15 2022 All details here: https://vacatures.uva.nl/UvA/job/PhD-Candidate-in-Causal-Representation-Lea… <https://vacatures.uva.nl/UvA/job/PhD-Candidate-in-Causal-Representation-Lea…>

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Postdoc at TU Delft: Physics-aware machine learning for clouds & climate
by Franziska Glassmeier 25 Jul '22

25 Jul '22

We invite you to apply for a postdoctoral position in the field of data-driven atmospheric cloud research. Within the scope of physics-aware and interpretable machine learning, you will be free to set your own scientific emphasis. We are looking for a curiosity-driven, and conceptually-minded candidate who enjoys scientific discussion and computational data analysis. As a suitable candidate, you either have hands-on experience with machine-learning methods and at least a basic knowledge of physics, or a background in atmospheric cloud research and advanced data analysis. For more details and to apply visit: https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details?… Your application will be given full consideration if you apply before Aug 21, 2022. ---- TU Delft Franziska Glassmeier Assistant Professor Faculty of Civil Engineering and Geosciences Department Geoscience and Remote Sensing PO Box 5048, 2600 GA Delft, Netherlands f.glassmeier(a)tudelft.nl https://www.tudelft.nl/en/ceg/about-faculty/departments/geoscience-remote-s…

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YES workshop on "Optimal Transport, Statistics, Machine Learning and moving in between"
by Pires da Silva Castro, Rui 21 Jul '22

21 Jul '22

—— Dear Colleagues, The YES workshop "Optimal Transport, Statistics, Machine Learning and moving in between” will take place 5-9 September 2022 in Eurandom, Eindhoven. This workshop is part of the series of Young European Statistician workshops, but has a broader scope than usual. We are very happy to feature tutorial talks by world experts Marco Cuturi (CREST-ENSAE, Apple ML Research), Jonathan Niles-Weed (NYU) and Yoav Zemel (University of Cambridge). In addition to this, there will be talks by several invited speakers. Young researchers will be given the opportunity to present their work in the format of contributed talks or posters - Please email a title and short abstract (max. one page) to ot.ml.stats(a)gmail.com<mailto:ot.ml.stats@gmail.com> before August 20th. Registration is mandatory and must be done before August 26th. For more information please visit the conference website: https://www.eurandom.tue.nl/event/workshop-yes-optimal-transport-statistics…<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.euran…> Best wishes, The organizers (Rui Castro, Augusto Gerolin, Johannes Schmidt-Hieber, Oliver Tse) —— P.S. - feel free to distribute this announcement as you see fit.

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PhD position on Probabilistic wind speed forecasting with deep learning
by Dirksen, S. (Sjoerd) 14 Jul '22

14 Jul '22

Dear colleagues, The Mathematical Institute of Utrecht University has a vacancy for a 4-year PhD position funded by the new NWO project “Probabilistic wind speed forecasting with deep learning”. The project is a close collaboration with the data science and statistical post-processing groups at the Royal Netherlands Meteorological Institute (KNMI). The project will be jointly supervised by Sjoerd Dirksen (Utrecht University, daily supervisor), Kirien Whan (KNMI), and Maurice Schmeits (KNMI). More details on the position and the application procedure can be found under https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-po… The application deadline is August 15. I would be grateful if you could forward this information to potential candidates. Best wishes, Sjoerd Dirksen

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Tenure track assistant professor positions at TU/e
by Pires da Silva Castro, Rui 05 Jul '22

05 Jul '22

Dear Colleagues, The Statistics, Probability and Operations Research (SPOR) cluster of the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) intends to fill two full-time tenure-track positions for assistant professors in Statistics. https://jobs.tue.nl/en/vacancy/assistant-professors-in-statistics-942955.ht… Please share these vacancies further with anyone that might be interested. With best regards, Rui Castro — Dept. of Mathematics and Computer Science, TU/e http://www.win.tue.nl/~rmcastro | +31 40 247 2499

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[jobs] Postdoc Position in Causal Inference (University of Amsterdam)
by Joris Mooij 16 Jun '22

16 Jun '22

Vacancy: Postdoctoral Researcher in Causal Inference (University of Amsterdam) ============================================================================== Are you a machine learning researcher or statistician who is passionate about causality and its applications for domain adaptation and optimization? We have a vacancy for a postdoctoral researcher in the recently established Mercury Machine Learning Lab (MMLL). In this lab, researchers from the University of Amsterdam (UvA) and Delft University of Technology (TU Delft) will be working together with data scientists from Booking.com to develop the statistical and machine learning foundations for a new generation of recommendation systems. Motivated by real-world problems faced in industry that involve domain adaptation and optimization, we will investigate fundamental scientific problems regarding generalization and bias removal from a causal perspective. The successful candidate will be based in the Korteweg-De Vries Institute for Mathematics of the University of Amsterdam, the Netherlands, under supervision of prof. dr. Joris Mooij. Application closing date: August 31, 2022 Preferred starting date: Autumn 2023 Duration: 3-4 years For further information, including how to apply, see the official job advertisement at: https://vacatures.uva.nl/UvA/job/Postdoctoral-Researcher-in-Causal-Inferenc… ------------------------------------------------------------- Joris Mooij Professor in Mathematical Statistics University of Amsterdam http://www.jorismooij.nl/

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