January 2021 - Machine-learning-nederland

Machine Learning specialist (permanent) - scientific software, SCM, Amsterdam
by Stan Van Gisbergen 21 Sep '21

21 Sep '21

We’re looking for a scientific software developer with Machine Learning (ML) expertise (MSc or PhD in ML). Together with our current mathematics and Machine Learning developers, you will work on developing new functionality where state-of-the-art ML techniques are applied to problems in computational chemistry. https://www.scm.com/news/job-opening-software-developer-machine-learning-in… Dr. S.J.A. van Gisbergen Directeur Software for Chemistry & Materials B.V. De Boelelaan 1083 1081 HV Amsterdam, The Netherlands E-mail: vangisbergen(a)scm.com http://www.scm.com

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Professor Position Artificial Intelligence For Industry (KU Leuven, Belgium)
by Peter Karsmakers 01 Mar '21

01 Mar '21

Dear Colleagues, KU Leuven has a fixed-term (5 year) part-time (95%) academic vacancy in the area of Artificial Intelligence at its campus in Bruges. We are looking for internationally oriented candidates with an excellent research record, preferably focused on deploying AI in Business and Industrial Environments, and with demonstrable didactical skills. The expected start date is October 1, 2021. The successful applicant will be appointed in the Faculty of Engineering Technology. This Faculty is part of the Science, Engineering and Technology Group of KU Leuven. The position is interdepartmental, with a joint appointment in both the Department of Computer Science and the Department of Electrical Engineering (ESAT). The successful applicant will engage in collaborations with experts in data analysis and AI and academic users of AI technology in the broader region. Overall, he/she will be an active member of the KU Leuven Institute for Artificial Intelligence (Leuven.ai). This interdisciplinary institute combines the AI expertise of 60+ professors, 100s of researchers and 500 master students. As one of the 10 most innovative universities in the world, KU Leuven has been very successful in the creation of spin-off companies, illustrating the socio-economic relevance of its research. Many of these spin-off companies are technology leaders within their domain, and their products and services are renowned internationally. More information see: https://www.kuleuven.be/personeel/jobsite/jobs/56002799?hl=en&lang=en Best regards, Peter — prof. dr. Peter Karsmakers [signature_1523137006] [/var/folders/z8/hsb0l6j16bsg031x1w8zq02r0000gn/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/image][page1image8119648] KU Leuven | Faculty of Engineering Technology Geel Campus | Kleinhoefstraat 4, 2440 Geel (Belgium) tel. +32 14 72 13 58 | www.iiw.kuleuven.be/geel<http://www.iiw.kuleuven.be/geel> Departement of Computer Science | DTAI-ADVISE ADVISE<http://www.kuleuven.be/advise> - DTAI<https://dtai.cs.kuleuven.be/> [signature_756872295]

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[jobs] PhD position in causality-inspired ML at University of Amsterdam
by Sara Magliacane 29 Jan '21

29 Jan '21

*Job offer:* fully-paid 4-year PhD position under the Collective Labour Agreement of Dutch Universities (solid pension scheme, a maximum of 41 days of annual leave based on a 40 hours work week, paid sick leave, maternity and paternity leave) *Research group*: INtelligent Data Engineering Lab (indelab.org), Informatics Institute, University of Amsterdam (uva.nl/en) *Deadline*: April 15th 2021 *Project*: Causality-inspired ML Are you interested in applying ideas from causal inference in machine learning research? The INtelligent Data Engineering Lab at the University of Amsterdam is seeking a PhD candidate in causality-inspired machine learning (ML), i.e. the application of ideas from causality to different areas of ML, under the supervision of Dr Sara Magliacane ( smaglia.wordpress.com). In particular, we are looking for PhD students that are interested in exploring the connections between causal inference, transfer learning and active learning. *Application link and details*: https://www.uva.nl/shared-content/uva/en/vacancies/2021/01/21-058-phd-candi…

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Women in Data Science Conference 2021
by Info-ids (IDS) 29 Jan '21

29 Jan '21

Institute of Data Science at Maastricht University Netherlands organizes the second edition of WiDS Maastricht in conjunction to WiDS Netherlands. The two events are co-joint and will take place online on 8 and 9 March 2021! The Women in Data Science (WiDS) conference is a technical conference that provides an opportunity to hear about the latest data science related research and to connect with others in the field. All genders are invited to attend these WiDS events. On Day 1 (Monday 8 March) WiDS Netherlands partakes in the first-ever 24-hour virtual WiDS Worldwide Initiative (hyperlink: https://www.widsconference.org) The speakers will highlight data science works that impact society. On Day 2 (Tuesday 9 March) WiDS Maastricht will follow. The speakers and the audience will focus on the impact of data science on society and on responsible data science. WiDS started as a conference at Stanford in November 2015. In 2020 the WiDS Worldwide conference reached over 100,000 people across the globe and organised 150+ WiDS regional events in 50+ countries. For more information and registrations please check here https://www.maastrichtuniversity.nl/events/wids-conference-2021

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Postdoctoral position at the University of Michigan
by Pires da Silva Castro, R.M. 26 Jan '21

26 Jan '21

Posting on behalf of Laura Balzano (University of Michigan) ---------------------- Begin forwarded message: From: Laura Balzano <girasole(a)umich.edu<mailto:girasole@umich.edu>> Subject: Fwd: Postdoctoral position at UM Date: 25 January 2021 at 23:34:46 CET To: undisclosed-recipients:; Dear colleagues, I have a postdoc opportunity at the University of Michigan to begin in spring 2021, working with me and also with the hope that the postdoc also establishes a co-mentor at UM. Please share with your colleagues and students and have them send their CV and research statement to me at <girasole(a)umich.edu<mailto:girasole@umich.edu>> with the subject "Joining the Balzano lab -- postdoc 2021" if they are interested. I am seeking a postdoc who is interested in optimization methods for novel machine learning applications. Any topic under the umbrella of low-dimensional modeling would be appropriate for this postdoctoral position. I am particularly interested in optimization for constrained SVD, nonlinear low-dimensional models, nonlinear or non-independent measurement models, joint dimensionality reduction and clustering, sketching within optimization algorithms, and time-varying low-dimensional models. Applications that motivate my work recently include power systems monitoring, medical and computational imaging, preference learning and learning to rank, control systems identification, and environmental monitoring. The position will be one year renewable for three (two is the most likely length). I would be thrilled to receive applications from people in underrepresented groups in machine learning, such as women and BIPOC candidates. This postdoc has no requirements other than research. As I am keenly aware of extra service and outreach workload burden for these groups, I do my best to advise those in my group on these matters and help them protect their time. Thank you, Laura Balzano Associate Professor of Electrical Engineering and Computer Science http://web.eecs.umich.edu/~girasole/<https://eur02.safelinks.protection.outlook.com/?url=http:%2F%2Fweb.eecs.umi…>

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NeurIPS 2020 - Debriefing Invitation
by Jack Mayo 19 Jan '21

19 Jan '21

Dear Dutch machine learners, There will be a national NeurIPS debriefing again, where PhD students and/or senior researchers will briefly present the paper they found the most interesting at NeurIPS 2020. If you are interested in NeurIPS, please consider being one of the presenters. The format is to have 2.5 hours of short talks (15 or 20 minutes, in English). It is not required to have attended NeurIPS, and you would usually not present your own paper. Talks can be informal, in a friendly atmosphere, so this is an ideal opportunity for PhD students to gain experience in giving presentations. An exact date and schedule will be announced later, but we are currently thinking to set the date in late February. If you are interested in giving a talk or if you have any questions, please let one of us know. For up to date information and an overview of past meetings, see www.timvanerven.nl/neurips-debriefing/<https://eur04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.timvan…> Best regards, Jack J. Mayo (j.j.mayo [at] uva [dot] nl) and Tim van Erven (tim [at] timvanerven [dot] nl)

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Reinforcement Learning challenge (Turing Institute, Jan 18-25)
by Alessandro Zocca 07 Jan '21

07 Jan '21

Dear colleagues, Would you or your students like to gain hands-on experience of Reinforcement Learning? Take part in testing RangL, a brand new open-source competition platform to accelerate progress in data-driven control problems, especially in the context of energy and transportation systems. Reinforcement Learning challenge 18-25 Jan 2021 The Alan Turing Institute • Free entry • Individuals and teams (two or more people) can apply • Three levels of difficulty available • All successful invitees supported with ‘Ask away!’ channel on Slack • Certificate of participation included Contact: rangl(a)turing.ac.uk before 8 January 2021. Participation is by invitation only so early application is advised. Check out the project web page at https://www.turing.ac.uk/research/research-projects/ai-control-problems ================================= Alessandro Zocca (he/his) Assistant Professor Vrije Universiteit Amsterdam Department of Mathematics https://sites.google.com/site/zoccaale/

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Machine-learning-nederland January 2021