May 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

2 1

Assistant/Associate Professor (f/m) in Optimization and Learning at the University of Twente
by r.j.boucherie＠utwente.nl 28 May '21

28 May '21

The Department of Applied Mathematics of the University of Twente has a vacancy for an Assistant or Associate Professor (f/m) in Optimization and Learning with particular focus on mathematical methods for Markov decision theory and reinforcement learning applied in healthcare optimization. The position is embedded in both Operations Research and the Center for Healthcare Operations Improvement and Research (CHOIR). For details, see https://www.utwente.nl/en/organisation/careers/!/2021-381/assistantassociat… -------------------------------------- Prof.dr. R.J. Boucherie people.utwente.nl/r.j.boucherie<http://people.utwente.nl/r.j.boucherie> Stochastic Operations Research Department of Applied Mathematics University of Twente www.utwente.nl/ewi/sor<http://www.utwente.nl/ewi/sor> CHOIR (Center for Healthcare Operations Improvement & Research) www.utwente.nl/choir<http://www.utwente.nl/choir> P.O. Box 217 NL-7500 AE Enschede P: +31 53 489 3432 E-mail: r.j.boucherie(a)utwente.nl https://people.utwente.nl/r.j.boucherie

1 0

Senior Bioinformatician in Molecular Screening and Omics Research - AstraZeneca - Cambridge, UK
by Sergio Martinez Cuesta 24 May '21

24 May '21

Are you a bioinformatician passionate about medical research and looking for an exciting and impactful new challenge? Do you have experience in analysing *genome-wide omics* data and *high-throughput molecular or genetic screens* for target identification and drug discovery? We are currently seeking a talented *Senior Bioinformatician* to join our Data Sciences & Quantitative Biology team in *Cambridge, UK* and apply bioinformatics and computational solutions to help us evolve and extend our capabilities in our drive to find the medicines of the future. In doing so, you will be part of a multi-disciplinary team of bioinformaticians, data scientists, image analysts and statisticians providing quantitative insights to discover new therapies. Our group is committed to enhancing AstraZeneca’s ability to enable effective target selection and hit identification. We welcome applications no later than *Saturday 5th June*. For more details and to apply, use the following link: https://careers.astrazeneca.com/job/cambridge/senior-bioinformatician-molec…

1 0

PhD position on Data-driven Optimization for Sustainable Last-Mile Delivery at TU/e
by Zhang, Yingqian 18 May '21

18 May '21

(apologies for multiple posting) https://jobs.tue.nl/en/vacancy/phd-on-datadriven-optimization-for-sustainab…<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fjobs.tue.…> The “Atlas leefbare stad” (Atlas livable city) is a digital twin application that processes logistical data for urban environments. It helps policymakers to gain insight into the current logistical situation, but it can also be used to find the optimal decision with respect to an objective such as fuel consumption or greenhouse gas emission. This makes it possible to try new optimal solutions in a realistic virtual environment, before applying them in practice. As a PhD candidate, you are expected to develop new machine learning driven optimization algorithms, using techniques such as reinforcement learning, online supervised learning, Bayesian optimization, etc., that can handle such a complex data-based environment. Different research goals such as incorporating expert knowledge in the data-driven models and designing objective functions and uncertainty measures that are easy to learn and to optimize, make this a challenging project and require a mix of applied and theoretical research.

1 0

CWI-SC seminar John Harlim (Penn state)
by Wouter Edeling 17 May '21

17 May '21

Dear all, This Friday (the 21st) at 4PM CET, John Harlim from Penn State will present his work on machine learning of missing dynamical systems at CWI. Here, the model error problem arising from missing dynamics is formulated as a supervised learning task using the Mori-Zwanzig formalism and Taken's embedding theorem. More info can be found in the abstract below. Feel free to share the zoom link if you think the talk may be of interest to your colleagues or students. Kind regards, Wouter Edeling Join Zoom Meeting https://cwi-nl.zoom.us/j/86326565885?pwd=THBiY3BRSUkvVzQ1UjM4Y1RTNGhOZz09 Meeting ID: 863 2656 5885 Passcode: 931873 13 May 2021 16h00: John Harlim (Penn state): Machine learning of missing dynamical systems In the talk, I will discuss a general closure framework to compensate for the model error arising from missing dynamical systems. The proposed framework reformulates the model error problem into a supervised learning task to estimate a very high-dimensional closure model, deduced from the Mori-Zwanzig representation of a projected dynamical system with projection operator chosen based on Takens embedding theory. Besides theoretical convergence, this connection provides a systematic framework for closure modeling using available machine learning algorithms. I will demonstrate numerical results using a kernel-based linear estimator as well as neural network-based nonlinear estimators. If time permits, I will also discuss error bounds and mathematical conditions that allow for the estimated model to reproduce the underlying stationary statistics, such as one-point statistical moments and auto-correlation functions, in the context of learning Ito diffusions.

1 0

PhD in Space-time Neural Memory Models and (Differential) Geometry
by Stratis Gavves 13 May '21

13 May '21

Dear all, Do you know someone interested in Space-time Neural Nets, Memory Models & (Differential) Geometry, Groups, Manifolds? We are looking for an enthusiastic and driven researcher for a Ph.D. application deadline by the beginning of June. For more details on the position, please check the vacancy post: https://www.uva.nl/en/content/vacancies/2021/05/21-326-phd-position-space-t… The position will be supervised by Associate Professor Dr. Efstratios Gavves at the University of Amsterdam, director of QUVA Lab, and director of POP-AART Lab. The position is fully funded by ERC Starting Grant and NWO VIDI. For any questions, you can send an email at egavves(a)uva.nl. Please, share! Best, Stratis

1 0

PhD position in Space-time Neural Memory Models and (Differential) Geometry
by Stratis Gavves 13 May '21

13 May '21

Dear all, Do you know someone interested in Space-time Neural Nets in the context of Generative/Stochastic/Bayesian models? We are looking for an enthusiastic and driven researcher for a Ph.D. application deadline by the beginning of June. For more details on the position, please check the vacancy post: https://www.uva.nl/en/content/vacancies/2021/05/21-325-phd-position-generat… The position will be supervised by Associate Professor Dr. Efstratios Gavves at the University of Amsterdam, director of QUVA Lab, and director of POP-AART Lab. The position is fully funded by ERC Starting Grant and NWO VIDI. For any questions, you can send an email at egavves(a)uva.nl. Please, share! Best, Stratis

1 0

PhD position in Unsupervised Deep Representation Learning for Video
by Stratis Gavves 13 May '21

13 May '21

Dear all, Do you know someone interested in unsupervised deep representation learning for video? We are looking for an enthusiastic and driven researcher for a Ph.D. application deadline by the beginning of June. For more details on the position, please check the vacancy post: https://www.uva.nl/en/content/vacancies/2021/05/21-335-phd-position-unsuper… The position will be supervised by Associate Professor Dr. Efstratios Gavves at the University of Amsterdam, director of QUVA Lab, and director of POP-AART Lab. The position is fully funded by ERC Starting Grant and NWO VIDI. For any questions, you can send an email at egavves(a)uva.nl. Please, share! Best, Stratis

1 0

PhD position in 'predicting brain connectivity using Bayesian nonparametric regression'
by Hinne, M. (Max) 11 May '21

11 May '21

Dear colleagues, We are looking for a highly motivated candidate to work with us at the Artificial Intelligence department at the Donders Institute at the Radboud University Nijmegen. The PhD project consists of developing Bayesian nonparametric methods, in order to study how brain networks change with time, age, as well as disease. The position is fully funded (4 years at 1.0 FTE or 5 years at 0.8 FTE). More details can be found at https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1152072. The application deadline is June 13th. If you know anyone in your network who might be interested in this position, please let them know. Kind regards, Max Hinne Dr. Max Hinne Assistant Professor Department of Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen Room B.00.67b Available Mon / Tue / Thu / Fri http://www.maxhinne.com<http://www.maxhinne.com/>

1 0

First Conference of Young Applied Mathematicians in Leuca
by YAMC Conference of Young Applied Mathematicians 07 May '21

07 May '21

Dear all, We are writing you to promote the "First Conference of Young Applied Mathematicians in Leuca", an event that will be held between the 13th and the 17th of September 2021 in Santa Maria di Leuca (LE), Italy. The conference is mainly aimed at PhD students, but also Master's students and postdocs, interested in the fields of mathematical modelling, numerical analysis, statistics, and machine learning. All the participants will have the possibility to present their research works. For more details, please see the website (which is continuously being updated): http://www.yamc.it/ Official registrations are not open yet, but we kindly ask interested people to compile the following Google Form: https://forms.gle/CRug5h6SxjTP1vTy8 Depending on the responses, in the next weeks, a program of the event will be prepared and posted on the website. We kindly ask you to help us publicize the event. For any questions, please contact us at phdworkshopleuca(a)gmail.com Thank you. Best regards, The organizers G. Auricchio, A. Codegoni, M. Fisher, L. Zambon and U. Zerbinati

1 0

2024

2023

2022

2021

2020

Machine-learning-nederland May 2021