Here you will find general information and advice on studying abroad. Which requirements must I meet for studies? The University of Tübingen is one of the most prestigious research universities worldwide. about. The University of Tübingen explains the chances of the new technology and why it is so … Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Optional time abroad You may choose to spend some time abroad as part of any study program. Assignments (only accessible for … Image Processing, Computer Vision, and Machine Learning applications See also our research webpage. His research interests are in machine learning, statistics and optimization and the application of machine learning … This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. 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. Machine Learning The area of Machine Learning introduces key concepts of the field. 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. Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. Head of Examination Board and Course Director, © 2020 Eberhard Karls Universität Tübingen, Tübingen, Preparatory Course Informatics for Life Scientists, Course List for the Wintersemester 2020/2021, Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster ``Machine Learning: New Perspectives for Science'', International Max Planck Research School for Intelligent Systems, German Conference on Pattern Recognition (28.9.-1.10.2020), Zeynep Akata and Andreas Geiger were awarded ERC Starting Grants. Welcome to our International Master's Program in Machine Learning! Back; Team. Press J to jump to the feed. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. 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). … Welcome to our International Master's Program in Machine Learning! Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. Below, you will find all the information you will need. compositionality. 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. Zeynep Akata Professor. In particular, competences from the following areas are required, equivalent in content and scope to those in the BSc course in Computer Science in Tübingen: Applicants must also provide adequate proof of English proficiency. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. by SoP | May 25, 2017 | News | 0 comments. positions . The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. At the core of this revolution are breakthroughs in the field of machine learning which allow machines to perform tasks that, until recently, could only be performed by humans. Zeit. about our group. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. 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. 2 SWS bzw. Show more Show less. code. Research group on theory of machine learning. 72076 Tübingen. What is special about the Tübingen program? Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… Less prominently discussed, developments in machine learning have the potential to transform science at an equally fundamental level. University of Tübingen Multiple locations . 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 … Questions can be directed to konstantin.genin@uni-tuebingen.de. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Science, Restricted admission Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. Research group on theory of machine learning. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. Sleep helps us to retain the information that we have learned during the day. GW] on different European master's programs related to artificial intelligence and machine learning. [8] T. Mitchell, Machine Learning, McGraw Hill, 1997 [9] A. Ng, M. Jordan, Y. Weiss, On Spectral Clustering: Analysis and an algorithm, NIPS 14, 2001 [10] L. Rabiner, A Tutorial on Hidden Markov … The international Master’s program in machine learning offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. The pipeline can either use a first dataset for training the model and a second for validation, or perform a nested k-fold cross-validation on a single dataset. Our innovative courses such as machine learning, medical technology, molecular medicine, geoecology, nano-science, media informatics, sports management and Islamic theology. University of Tübingen neuroscientists use machine learning algorithm to show that the brain actively reprocesses previously learned information during sleep, strengthening memory . Liebherr-Elektronik GmbH funds research project at the University of Tübingen. Computer science: Programming, Algorithms and Data Structures. Johannes Eichner, Lars Rosenbaum: Sprechstunde. 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. Graduates in this international Master's program will be competent in all basic and many advanced areas of machine learning, understanding and suitably applying this increasingly essential tool for dealing with large datasets, be it in science, industry or alternative domains. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … Which other subjects can I combine with my main subject? contact. Germany. I am also a fellow at the Max Planck Institute for Intelligent Systems. The University of Tübingen, with its more than 500 years of history, is one of Germany’s oldest. Department of Computer Science. Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. Umfang . 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. Maria von Linden Str. 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. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. A subreddit dedicated to learning machine learning. 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. 08.07.2020. 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. Bachelor degree in subject related to machine learning i.e. This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. His research interests are in machine learning, statistics and optimization and the application of machine learning to problems in bioinformatics, computer vision and other fields in computer science and the natural sciences. Statistical Machine Learning (Summer term 2020) Quick links (publically available): youtube channel for the videos Slides Course material Slides: Latest version, updated 2020-08-19: pdf Videos: The videos of the lecture can all be found on youtube. Research. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to camtue@is.mpg.de. uni-tuebingen… Developing a machine-learning algorithm for mushroom orientation estimation. The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. German Abitur certificate with proof of 6 (G8) or 7 years (G9) of English language instruction, Cambridge Certificate in Advanced English (CAE), Higher education entrance qualification from Great Britain, Ireland, USA, Canada, Australia, New Zealand, Bioinformatik Bachelor of Science:                         107, Bioinformatik/Bioinformatics Master of Science: 122, Bioinformatik Promotion:                                           32, Informatik Bachelor of Science Hauptfach:   676, Informatik Bachelor of Science Nebenfach:    68, Informatik Master of Science:                          257, Informatik Promotion:                                        110, Informatik Bachelor of Education:                  75, Informatik Bachelor of Education berufl LA:   2, Informatik Master of Education:                        9, Informatik Vorleistungen Erweiterungsfach: 6, Erweiterungsprüfung:                                          6, Informatik Lehramt:                                             1, Kognitionswissenschaft Bachelor of Science: 243, Kognitionswissenschaft Master of Science:    126, Kognitionswissenschaft Promotion:                   19, Medieninformatik Bachelor of Science: 143, Medieninformatik Master of Science:      53, Medizininformatik Bachelor of Science:                                 89, Medizininformatik/Medical Informatics Master of Science: 15. 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. 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). You should start planning it 12 to 18 months before your departure. 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 aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Welcome to our International Master's Program in Machine Learning! Education in problem solving capabilities is a central training objective. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. University of 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 Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Machine learning is a key technology of the 21st century. Overview of application deadlines, Program start Students will attend lectures, seminars, and project lab courses under the supervision of scientists who introduce them to basic and applied research and current topics in machine learning. Human-Computer Interaction. Dozent. I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. 6. On what criteria are applicants selected? We maintain exchanges with partners around the globe - both at institutions of higher education and at non-university research institutions. and MSc. A Bachelor's degree (or equivalent) in either computer science, mathematics, physics or related natural sciences with a grade of at least 2.3 (German grading system). Machine Learning The area of Machine Learning introduces key concepts of the field. In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … 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. Uppsala, Schweden). Brief Bio: Peter Ochs received the M.Sc. zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . 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. Which topics are dealt with in the program? Teamprojekt Machine Learning in the Field of Eye Tracking ... margot.reimold@mnf.uni-tuebingen.de. 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 Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. conscious reasoning. Home. Information about the Alumni of Tübingen. As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor from any subfield of computer science. Since machine-learning algorithms are tremendously useful in many engineering areas, such as complex oil and gas processes, Dr. Akhil Datta-Gupta is leading Texas A&M University's participation in a multi-university … 6 72076 Tübingen Germany Room: 30-5/A10 Phone: +49 (0)7071 29-70847 E-mail: debarghya.ghoshdastidar(at)uni-tuebingen.de ghoshdas(at)informatik.uni-tuebingen.de 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 … Back; Open Positions; People. Datum: Thema: Betreuung: Referent(in) 19.04.2005: Classification of Machine Learning Methods: Alexander Sung-26.04.2005 Thus, ethical discussion on the responsible usage of data is of growing importance. The department collaborates with major enterprises and research institutes both nationally and internationally. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. Close • Posted by 12 minutes ago. Phone: +49 (0)7071 29-70832. 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. 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. University of Tübingen Proseminar: Machine Learning. The institute is situated in one of the traditional German university towns of Tübingen, Baden-Württemberg, which famous for its boat trips and the marvelous architecture of its old town Hölderlin. Room: 30-5/A24. Welcome to our International Master's Program in Machine Learning! To help you decide whether Tübingen is right for you, here are some contact points and information on studying in Germany: Due to very fast technological developments in handling large amounts of data and apply findings in a wide variety of applications, there is an ever growing need for specialists in machine learning. 6, D-72076 Tübingen ... We seek to use insights from human cognition to improve machine learning methods, while also using advances in machine learning as tools for understanding human intelligence. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. We welcome Zeynep Akata as new professor of computer science! The University of Tübingen was founded in 1477 by Count Eberhard V (Eberhard im Bart, 1445–1496), later the first Duke of Württemberg, a civic and ecclesiastic reformer who established the school after becoming absorbed in the Renaissance revival of learning during his travels to Italy. Coronavirus research at the University of Tübingen, Corona virus: Information for researchers, Studiengänge in Kooperation mit anderen Universitäten, Master’s studies at the University of Tübingen, Schlüsselqualifikationen: Das Studium Professionale, Doctoral studies at the University of Tübingen, Progressing successfully through your studies, Transregional Collaborative Research Centers (CRC-TRRs), Funding and support for junior researchers, I – Development, Structure and Legal Affairs, Division VIII – Construction, Safety, and Environment, Center for Interdisciplinary and Intercultural Studies, Dr. Eberle Zentrum für digitale Kompetenzen, European Research Center on Contemporary Taiwan, Informations-, Kommunikations- und Medienzentrum (IKM), International Center for Ethics in the Sciences and Humanities, Zentrum für Evaluation und Qualitätsmanagement, Center for Gender and Diversity Research (ZGD), Ansprechpersonen für Fragen im Zusammenhang mit sexueller Belästigung, Programs and modules for international students, Getting started and orientation for international students, Corona virus: Information for students from abroad (incomings), After your studies for international students, Advice and counseling for international students, Coronavirus: Informationen für Tübinger Studierende im Ausland (Outgoings), Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster `Machine Learning: New Perspectives for Science', International Max Planck Research School for Intelligent Systems, general information and advice on studying abroad, University of Tübingen’s international profile, Contact: University office for the Advising and Admission of International Students, Information on application for international students, Addresses and contact points for international students at the University of Tübingen, Study and conduct research in Germany (DAAD information), Search for persons at the University (EPV), Mathematics: one- and multidimensional analysis, linear algebra and either numerics or stochastic. Eye-tracking technology has found its way into many fields of research and applications, enabling sensing of the visual behavior in mobile, outdoor settings. None, Regular duration of studies Videos, Assignments and Solutions. 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. Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another course. I am a professor for computer science, with research focus on the theory of machine learning. Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. wird in der Vorbesprechung festgelegt. 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. 4 LP. Winter semester, Language of instruction University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. 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. E-mail: ulrike.luxburg (at)uni … University of Tübingen. Faculty Excellent research and teaching are Tübingen’s answer to the challenges of the future in a globalized world. Please arrange for a cv, a motivation letter, BSc. papers. people. Machine learning is a key technology of the 21st century. Statistical Machine Learning (Summer term 2020) Quick links (publically available): youtube channel for the videos Slides Course material Slides: Latest version, updated 2020-08-19: pdf Videos: The videos … Software engineering in robotics. University of Tübingen Department of Computer Science Maria von Linden Str. For further information see the website Faculty of Science - Doctoral Studies. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. The master thesis is recommended for the fourth semester. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. The programme consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning, General Computer Science, and Expanded Perspectives. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020.

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