Bachelor degree in subject related to machine learning i.e. Phone: +49 (0)7071 29-70832. Excellent research and teaching are Tübingen’s answer to … @ Max Planck Institute for Intelligent Systems and University of Tuebingen . Close • Posted by 12 minutes ago. If you have questions on the program or the admission requirements, please first check the webpages above and only if your question is not answered there, then contact: If you have any questions concerning the application portal or organisation of your studies, please contact the students' advisory service. Videos, Assignments and Solutions. Tuition and other fees. University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. University of Tübingen neuroscientists use machine learning algorithm to show that the brain actively reprocesses previously learned information during sleep, strengthening memory . The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. Lecture Mathematics for Machine Learning (MSc, 4+2 SWS) Research seminar "Machine Learning Theory" (runs constantly) Future In Summer 2021, I will teach the Bachelor course on Theoretical Computer Science (BSc, 4+2 SWS). Faculty None, Regular duration of studies The studies program deals both with generic methods and their applications to specific fields, making it highly relevant for new career and job market purposes. Admission to the international Master’s program in Machine Learning is not admission-restricted, but all students, including those holding a Bachelor’s degree in Computer Science, are requested to submit a formal application. The University of Tübingen, with its more than 500 years of history, is one of Germany’s oldest. Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. Machine learning is a key technology of the 21st century. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. Umfang . Go here to check if you are eligible and know more about the application details. Students have the opportunity to advance their knowledge and skills to a level which will allow them to get involved in top national and international research in bioinformatics and its application to the life sciences. In the first semester Mathematics for Machine Learning, and Data Literacy are recommended modules, followed by Statistical Learning, Probabilistic Inference and Learning and Deep Learning in the next semester. Applicants must provide adequate proof of English proficiency, documented by one of the following documents: The Machine Learning program cannot be complemented with a minor subject. Press J to jump to the feed. Assignments (only accessible for … wird in der Vorbesprechung festgelegt. The CS department places strong emphasis on interdisciplinary cooperation with other university departments, in particular medicine, biology, psychology, and media studies, and also with the three Max Planck Institutes located in Tübingen. University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. It provides an introduction to core concepts of machine learning from the probabilistic perspective (the lecture titles below give a rough overview of the contents). Human-Computer Interaction. Back; Team. Which other subjects can I combine with my main subject? Welcome to our International Master's Program in Machine Learning! about. After completing her PhD at the INRIA Rhone Alpes with Prof Cordelia Schmid (2014), she worked as a post-doctoral researcher at the Max Planck Institute for Informatics with Prof Bernt Schiele (2014-17) and at University of California Berkeley with Prof Trevor Darrell (2016-17). 2 SWS bzw. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. 08.07.2020. At least one practical course and one seminar are recommended for the second or third semester. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … Zeit. For example, one might be able to prove that an algorithm is statistically consistent: when the algorithm gets to see an infinite amount of data, its prediction performance is going to converge to the best possible one. Machine learning is at the heart of a technological and societal revolution, although today’s learning systems do not generalize well to new situations, cannot learn … ... University … Winter term 2014/15: Algorithms and Data Structures (Bachelor CS, 3+1 SWS) Summer term 2014: Machine learning (Master CS and Maths, 4 + 2 SWS). University of Tübingen. Please arrange for a cv, a motivation letter, BSc. Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to camtue@is.mpg.de. degree in mathematics from the Saarland University in Germany in 2010, and the Ph.D. degree in mathematics from the University of Freiburg in 2015. conscious reasoning. people. Developing a machine-learning algorithm for mushroom orientation estimation. 72076 Tübingen. The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder The University of Tübingen is one of the most prestigious research universities worldwide. Image Processing, Computer Vision, and Machine Learning applications See also our research webpage. 6. code. The master thesis is recommended for the fourth semester. Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. Lifelong learning; Quicklinks All Degree Programs; ALMA Portal; Excellence Initiative; Staff Search (EPV) Student Administration; University Library; Online Course Catalogue; Webmail Uni Tübingen; Advice for International Students; Cluster of Excellence – Machine Learning for Science Cluster of Excellence – Machine Learning for Science. I am also a fellow at the Max Planck Institute for Intelligent Systems. … Science, Restricted admission Teamprojekt Machine Learning in the Field of Eye Tracking ... margot.reimold@mnf.uni-tuebingen.de. Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. University of Tübingen Proseminar: Machine Learning. Welcome to our International Master's Program in Machine Learning! The University of Tuebingen collaborates closely with the  Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … The students who takes this course in Tübingen … 4 semester, Is a combination subject required? 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. Winter semester, Language of instruction I am a professor for computer science, with research focus on the theory of machine learning. The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … Room: 30-5/A24. San Diego, California Research Scholar in the Systems Biology Research Group at UCSD Research Education Eberhard-Karls-Universität Tübingen / University of Tuebingen 2006 — 2011 Dr. rer. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. ML algorithms learn a program that solves a specific problem by looking at data that characterizes it. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. For further information see the website Faculty of Science - Doctoral Studies. In the winter term 2020/21 about 2090 students study at the Department of Computer Science: You can find a formal description of the degree here. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. Brief Bio: Peter Ochs received the M.Sc. Furthermore it offers an easy and informal way to come together and get in touch with other students. What is special about the Tübingen program? In addition, some departments have their own subject-specific services providing information on studying abroad. No, Application deadline 1st semester Research. You should start planning it 12 to 18 months before your departure. We know from animal experiments that new memories are reactivated during sleep. Back; Open Positions; People. University of Tübingen Department of Computer Science Maria von Linden Str. ICML 2019 Best Paper Award for Researchers from Tübingen, Search for persons at the University (EPV), Winter semester (no intake in the summer semester), Help to protect the European Research Council (ERC) from budget cuts which threaten the most prestigious and effective European research program by signing this, Mila Gorecki, student in the master program Machine Learning, won the, 23 papers at ICML and CVPR 2020 from Tübingen (11 ICML, 12 CVPR), Information about Tuebingen (housing, language classes etc) for International Students can be found, Congratulations to Bernhard Schölkopf for the, 24 papers from Tübingen accepted at NeurIPS 2019. This manifests in several recent initiatives: These initatives provide plenty of opportunities for research as well as industry contacts for the students of our master program. This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. Jobs and internships can be found in the Praxisportal. contact. Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. Home. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Tübingen, Germany. Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. Accordingly, Dr. Konstantin Genin, leader of the "Ethics and Epistemology" research group in the Cluster of Excellence: "Machine Learning - New Perspectives for Science" at the University of Tübingen, advertises. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. Since the field is obviously very young and currently developing extremely rapidly, training will naturally be based on the most recent insights and the most pressing research questions of these teaching researchers. In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … Machine Learning The area of Machine Learning introduces key concepts of the field. Uppsala, Schweden). The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning … Tübingen AI Center aims to build learning systems that approach the versatility and robustness exhibited by natural intelligent systems. Welcome to our International Master's Program in Machine Learning! We welcome Zeynep Akata as new professor of computer science! The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. Maria von Linden Str. Software engineering in robotics. Examination and grades: Diploma students can request an examination on this course … Johannes Eichner, Lars Rosenbaum: Sprechstunde. Questions can be directed to konstantin.genin@uni-tuebingen.de. To pick up on scientific trends and make the best use of the current state of research, the curriculum relies heavily on the strong research presence on site, in machine learning as well as the wider field of computer science: top-level researchers in all major methodological branches of machine learning are present in Tübingen – personnel that will actively engage in teaching for the Master’s Program Machine Learning. by SoP | May 25, 2017 | News | 0 comments.