master's in machine learning eth zurich

After receiving the Master's degree, graduates are ready for the challenges in the business world. DOI: 10.3929/ethz-b-000455359 Research Collection Securing the … Contact. Introduction to Machine Learning The course will introduce the foundations of learning and making predictions from data. The career prospects holding a Master's in Electrical Engineering and Information Technology are excellent and very broad. The Institute for Machine Learning at ETH Zurich is partnering with CSEM for exploring exciting cutting edge research for modelling temporal processes. The Master's degree in Computer Science is geared towards students who have a well-founded basic knowledge in computer science and who have just as much fun in the engineering of computer science as in its scientific aspects. All tutorial sessions are identical. We develop two robust non-linear controllers for body-fixed hovering in unknown gravitational environments based on Reinforcement Learning. Please attend the session assigned to you based on the first letter of your last name. Master of Science ETH in Computer Science, or a related field such as (listed alphabetically), Master’s degree programme in Computer Science, ETH Zurich Read more. You hold a PhD (or should be less than 10 months before completion of the PhD thesis) in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant AI fields. Yes, from the Fall 2017 (i.e. Read more. Elgibility. PostDoc in Machine Learning. The two partners are currently looking for a PhD Student to work in this area of Machine Learning. Search for courses in the ETH Zurich course catalogue From 2 November 2020, the autumn semester 2020 will take place online. the Max Planck ETH Center for Learning Systems. PhD Researcher in Machine Learning at ETH Zurich, Master in CS from ETH Zurich, Interned 3 times at Google and once at Bloomberg LP. Most of them are 4 semester (120 ECTS) programs, with 30 ECTS assigned to the thesis. We provide a diverse range of topics for master's thesis, from machine learning systems to machine learning applications. Masters in Neural Systems and Computation – ETH Zurich Cost: CHF 2320 total cost for all students. The programme guides each individual student in taking a meaningful path through the variety of course offers and designing a profile that matches both personal inclinations and prospective career opportunities. Thesis on Generative Models for Molecules. Dep. The Master's degree programe in Computer Science at ETH Zurich offers a profound and in-depth education in several core areas of computer science. The Institute for Machine Learning at ETH Zurich is partnering with CSEM for exploring exciting cutting edge research for modelling temporal processes. Technische Hochschule Zürich. The track Bioelectronics provides in-depth knowledge of the development and use of instruments and signal processing theory to measure physical, physiologic or biologic signals in humans and other living organisms. ETH Zurich Excellence Masters Scholarships is a fully funded scholarship for international students. Our focus includes optimization of machine learning models, validation of algorithms and large scale data analytics. Lectures can be taken in Zürich and Basel, with University of Basel offering lectures in Basel, University of Zurich offering lectures in Zurich and ETH Zurich offering lectures at the Basel campus as well as Zurich campus. Department of Computer Science, JavaScript has been disabled in your browser, Electrical Engineering (and Information Technology), Civil, Environmental and Geomatic Engineering, Humanities, Social and Political Sciences, Information Technology and Electrical Engineering. ETH's Computer Science Department runs a broad-reaching Master's program in English - the Master in Computer Science - which grants students access to general computer science topics as well as a number of focus areas such as Theoretical Computer Science, Information Security, Software Engineering, and Visual Computing. Machine learning (ML) -- the pursuit of computational methods for making predictions and decisions from data -- plays a central role in our information society. By contracting the tensor-network, the gradient of the loss can be found. Switzerland. Applications range from medicine and the life sciences to distributed sensing and natural language processing. Exceptional M.Sc GPA (5.79/6). Overview Start Autumn Term 2017. For general inqueries please contact . The first tutorials sessions take place in the second week of the semester. Biosysteme Prof. Dr. Karsten M. Borgwardt. 4058 Basel. Open Positions. Computational genetics and epigenetics of cancer (Prof. Valentina Boeva), Information Science and Engineering (Prof. Joachim Buhmann), Learning and Adaptive Systems (Prof. Andreas Krause), Biomedical Informatics (Prof. Gunnar Rätsch), Statistical Machine Learning (Prof. Fanny Yang), Max Planck ETH Center for Learning Systems, Eidgenössische This scholarship is only offered for masters studies. We will study basic concepts such as trading goodness of fit and model complexity. Contact. Our focus includes optimization of machine learning models, validation of Further information. In addition, you will be closely working with the BLP team and discuss machine learning, data pipelines, deployment and many more topics with experts and talents working at university, in industry, and in other start-up ventures.We offer a competitive salary in accordance with ETH standards and an interesting research and development agenda. Master Thesis, Zurich, Systems Group, Department of Computer Science, ETH Zurich, 2020. Students have ample opportunities to quickly participate in exciting research projects, often in collaboration with industry or with the local research centers of international companies. Master in Data Science page. ETH Zurich. If you are interested, kindly reach out to us as follows: If you want to write a MSc thesis, contact Stefan Feuerriegel. The two partners are currently looking for a PhD Student to work in this area of Machine Learning. Their project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint". The Max Planck ETH Center for Learning Systems (CLS) offers a unique fellowship program, where PhD students are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Tübingen and Stuttgart. ETH Zurich. This scholarship provides a grant covering living and study expenses (CHF 11,000 per semester) as well as a tuition fee waiver. All tutorial sessions are identical. Currently no open positions. Mattenstrasse 26. Oct 14, 2017 | News Stories. The Master's degree programe in Computer Science at ETH Zurich offers a profound and in-depth education in several core areas of computer science. Science in Perspective (SiP) (2 credit points) is an integral part of the curriculum at ETH Zurich. The Machine Learning & Computational Biology Lab develops Data Mining Algorithms for analysing Big Data in Biology and Medicine. ... ETH Zurich. The Master’s degree programme combines theory and hands-on practice to provide students with a well-rounded education. The possibility of doing an interdisciplinary master's thesis in cooperation with other ETH departments offers further fascinating opportunities – from building flying robots or developing cell simulations to exploring the possibilities of machine learning and artificial intelligence. Of course, this also opens the path to a doctorate and a further academic career. We always welcome students interested in pursuing a Master’s thesis with an innovative research theme. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project. We are dedicated to learning and inference of large statistical models from data. Octav Dragoi. ... You can apply directly or participate in multiple graduate programs offered by the Life Science Zurich Graduate School of ETH Zürich and University of Zürich. We want to make our machine learning and data science expertise accessible to other researchers, especially to researchers and students from other departments or institutions of the ETH domain. Master's and Bachelor's Thesis. Electrical Engineering and Information Technology, Eidgenössische Reinforcement Learning for Spacecraft Maneuvering using Optic Flow and Time-To-Contact In this thesis we tackle the task of spacecraft maneuvering near small celestial bodies, like asteroids or comets. The resulting methodological challenges strongly suggest to combine high performance algorithmics and cutting edge statistical modeling. The salary is according to the standard salary scale for postdoctoral fellows at ETH Zurich. Applicants must hold a Master’s degree in geodesy, geosciences, physics, informatics, computational sciences or a related field. Press Enter to activate screen reader mode. 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