The career prospects holding a Master's in Electrical Engineering and Information Technology are excellent and very broad. Machine learning (ML) -- the pursuit of computational methods for making predictions and decisions from data -- plays a central role in our information society. The salary is according to the standard salary scale for postdoctoral fellows at ETH Zurich. Contact. Our focus includes optimization of machine learning models, validation of algorithms and large scale data analytics. Exceptions: Courses that can only be carried out with on-site presence. Introduction to Machine Learning The course will introduce the foundations of learning and making predictions from data. 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. We will study basic concepts such as trading goodness of fit and model complexity. Press Enter to activate screen reader mode. 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. By contracting the tensor-network, the gradient of the loss can be found. 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. 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. Applications range from medicine and the life sciences to distributed sensing and natural language processing. Technische Hochschule Zürich. Universitaetstrasse 6Building CAB, floors E/F/G, JavaScript has been disabled in your browser, Civil, Environmental and Geomatic Engineering, Humanities, Social and Political Sciences, Information Technology and Electrical Engineering. If you want to write a MSc thesis (non-MTEC ETH or … ETH Zurich Excellence Masters Scholarships is a fully funded scholarship for international students. This scholarship is only offered for masters studies. 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. For general inqueries please contact . Yes, from the Fall 2017 (i.e. CSEM is a private research, technology and innovation center specializing in microtechnology, microelectronics, system next intake), ETH Zürich offers a Master in Data Science. Eth zurich machine learning masters. Data science is a driving force of today's information age. The Master’s degree programme combines theory and hands-on practice to provide students with a well-rounded education. Of course, this also opens the path to a doctorate and a further academic career. They were: ETH in Zurich (Data Science), University of Cambridge (MPhil in Advanced Computer Science), Imperial College London (Advanced Computing), Technical University in Munich (Data Engineering and Analytics), KTH Royal Institute of Technology (Machine Learning) and Czech Technical University in Prague (Artificial Intelligence). Data driven scientific modeling permeates all areas of natural science, engineering, social science and more recently also humanities. These courses have to be included in the Learning Agreement (PDF, 1 MB) and the tutor must agree to this choice. We develop two robust non-linear controllers for body-fixed hovering in unknown gravitational environments based on Reinforcement Learning. We also maintain a list of specific topics that are available right now. We always welcome students interested in pursuing a Master’s thesis with an innovative research theme. The Institute for Machine Learning at ETH Zurich is partnering with CSEM for exploring exciting cutting edge research for modelling temporal processes. All tutorial sessions are identical. Machine learning (ML) -- the pursuit of computational methods for making predictions and decisions from data -- plays a central role in our information society. To learn about proposed Master projects please refer the individual research group websites or write to the contact person: ... Machine Learning, Optimization, Uncertainty in ML, Reinforcement Learning . Press Enter to activate screen reader mode. The Data Science Master program is most specifically tailored to an ML curriculum. The Machine Learning & Computational Biology Lab develops Data Mining Algorithms for analysing Big Data in Biology and Medicine. 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. However, admissions for this program are very competitive. 4058 Basel. Oct 14, 2017 | News Stories. Mattenstrasse 26. Overview Start Autumn Term 2017. Currently no open positions. Location: Zürich and Basel. We provide a diverse range of topics for master's thesis, from machine learning systems to machine learning applications. Contact. Interestingly there are many different kinds of Machine Learning related Master programs that ETH offers. 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 Master in Data Science page. Electrical Engineering and Information Technology, Eidgenössische PostDoc in Machine Learning. 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 specialized ETH Master's program in data science, offered in collaboration with the Department of Mathematics as well as the Department of Information Technology and Electrical Engineering, provides a high quality education geared towards nurturing the next generation of data scientists. If you are interested, kindly reach out to us as follows: If you want to write a MSc thesis, contact Stefan Feuerriegel. Master's and Bachelor's Thesis. Please attend the session assigned to you based on the first letter of your last name. 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. Biosysteme Prof. Dr. Karsten M. Borgwardt. The first tutorials sessions will take place in the second week ofthe semester. Search for courses in the ETH Zurich course catalogue From 2 November 2020, the autumn semester 2020 will take place online. Switzerland. Octav Dragoi. All tutorial sessions are identical. Most of them are 4 semester (120 ECTS) programs, with 30 ECTS assigned to the thesis. ... ETH Zurich. Contact Shaw. 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. 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. Open Positions. DOI: 10.3929/ethz-b-000455359 Research Collection Securing the … The first tutorials sessions take place in the second week of the semester. ... Master student projects (ETH internal) The study programme is closely connected to the department’s world-class research groups, led by an internationally diverse faculty of over 35 professors. 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. Read more. PhD students are expected to take advantage of the opportunities offered by both organizations and to actively seek cross-group collaborations. ETH Zurich. 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. 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. This scholarship provides a grant covering living and study expenses (CHF 11,000 per semester) as well as a tuition fee waiver. ETH Zurich. Masters in Neural Systems and Computation – ETH Zurich Cost: CHF 2320 total cost for all students. The two partners are currently looking for a PhD Student to work in this area of Machine Learning. Read more. 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. ... 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. The Institute for Machine Learning at ETH Zurich is partnering with CSEM for exploring exciting cutting edge research for modelling temporal processes. Exceptional M.Sc GPA (5.79/6). Dep. The resulting methodological challenges strongly suggest to combine high performance algorithmics and cutting edge statistical modeling. Their project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint". Elgibility. PhD in machine learning for IoT ETH Zurich Department of Computer Science and Mathematical Science Switzerland The Chair of Management Information System in collaboration with Geberit Group, a leader in the field of sanitary products, is offering a PhD position. Master of Science ETH in Computer Science, or a related field such as (listed alphabetically), Master’s degree programme in Computer Science, ETH Zurich Our focus includes optimization of machine learning models, validation of Further information. Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich computer-science machine-learning study notes eth-zurich lecture … After receiving the Master's degree, graduates are ready for the challenges in the business world. 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. We are dedicated to learning and inference of large statistical models from data. He worked full-time for two years as a Quant at Jump Trading and interned at D.E. Master Thesis, Zurich, Systems Group, Department of Computer Science, ETH Zurich, 2020. The development of instrumentation is based on technologies including bioMEMS, micro- and nanosystems, biophotonics, sensors, optics and micro-fluidics. 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. BSD G 234. Technische Hochschule Zürich. Product development, design for new technologies, optimization of biomedical systems and processes, interaction of human and machine, eye tracking Mohr, Dirk, Prof. Dr. For the first time, researchers at ETH Zurich have successfully automated the modelling of turbulence. Thesis on Generative Models for Molecules. Please attend thesession assigned to you based on the first letters of your surname. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project. 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