In this whole Master program, besides professional expertise, graduates will also acquire language skills and intercultural competence due to the program’s international nature – another requirement of the international job market, both in academia and without. Bachelor degree in subject related to machine learning i.e. 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). Dozent. Machine learning is a key technology of the 21st century. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. people. 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. 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. The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. Erasmus-Programme (e.g. 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. Optional time abroad You may choose to spend some time abroad as part of any study program. E-mail: ulrike.luxburg (at)uni … University of Tübingen Department of Computer Science Maria von Linden Str. Assignments (only accessible for … Which requirements must I meet for studies? Welcome to our International Master's Program in Machine Learning! Show more Show less. Which topics are dealt with in the program? Research group on theory of 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 … 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. Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. 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. 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. Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. For further information see the website Faculty of Science - Doctoral Studies. Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to camtue@is.mpg.de. 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). 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. Questions can be directed to konstantin.genin@uni-tuebingen.de. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . nach Vereinbarung. 11, 72074 Tübingen zsbspam prevention@uni-tuebingen.de   +49 7071 29-72555, E-Mail: studyspam prevention@uni-tuebingen.de    Phone: +49 7071 29-76833, Application and admission of international students, All contact persons, responsibilities and opening hours, FAQ / Frequently asked questions of international applicants, If you have questions concerning your application or your admission, please contact  Prof. Dr. Matthias Hein +49-(0)7071-29-70831 E-Mail, If you have any questions concerning the process or organisation of your studies, please contact the students' advisory service: studienberatungspam prevention@informatik.uni-tuebingen.de. Machine Learning The area of Machine Learning introduces key concepts of the field. Phone: +49 (0)7071 29-70832. 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. Thus, ethical discussion on the responsible usage of data is of growing importance. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. 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. A subreddit dedicated to learning machine learning. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … Back; Team. Education in problem solving capabilities is a central training objective. Research. 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. papers. Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. 2 SWS bzw. Tuition and other fees. 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. Teamprojekt Machine Learning in the Field of Eye Tracking ... margot.reimold@mnf.uni-tuebingen.de. 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. 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. 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. Since this is a highly demanding area, a PhD degree is often required. The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. 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). Research group on theory of machine learning. Below, you will find all the information you will need. 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. Back; Team. 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.

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