The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … 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. GW] on different European master's programs related to artificial intelligence and machine learning. Research group on theory of machine learning. The department collaborates with major enterprises and research institutes both nationally and internationally. Courses are held in English. Back; Open Positions; People. Below, you will find all the information you will need. Show more Show less. We know from animal experiments that new memories are reactivated during sleep. 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. Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … The student association is involved in many organizational issues. 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 transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Back; Open Positions; People. 4 semester, Is a combination subject required? The master thesis is recommended for the fourth semester. 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. 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. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. Go here to check if you are eligible and know more about the application details. Wilhelmstr. Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder 2 SWS bzw. Science, Restricted admission Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another course. 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. Press J to jump to the feed. Zeit. 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. Computer science: Programming, Algorithms and Data Structures. Machine Learning The area of Machine Learning introduces key concepts of the field. Assignments (only accessible for … 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. 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. Thus, ethical discussion on the responsible usage of data is of growing importance. University of Tübingen Proseminar: Machine Learning. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. Which other subjects can I combine with my main subject? 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). Liebherr-Elektronik GmbH funds research project at the University of Tübingen. Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. nach Vereinbarung. Johannes Eichner, Lars Rosenbaum: Sprechstunde. I am a professor for computer science, with research focus on the theory of machine learning. 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. The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Brief Bio: Peter Ochs received the M.Sc. Maria von Linden Str. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … Dozent. Close • Posted by 12 minutes ago. 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. English, Costs University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. Back; Team. 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. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. Human-Computer Interaction. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. 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 … Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to camtue@is.mpg.de. Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. 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). Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … E-mail: ulrike.luxburg (at)uni … and MSc. The students who takes this course in Tübingen … Developing a machine-learning algorithm for mushroom orientation estimation. Optional time abroad You may choose to spend some time abroad as part of any study program. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Tuition and other fees. Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. contact. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. conscious reasoning. Welcome to our International Master's Program in Machine Learning! What is special about the Tübingen program? Less prominently discussed, developments in machine learning have the potential to transform science at an equally fundamental level. None comments Contents General Overview Research Directions in Tübingen Options outside of University Some personal notes Decision Guide None No comments. 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. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. We welcome Zeynep Akata as new professor of computer science! None, Regular duration of studies 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. 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. The programme consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning, General Computer Science, and Expanded Perspectives. people. 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. The course is designed to run alongside an analogous course on Statistical Machine Learning (taught, in the Summer of 2020, by Prof. Dr. Ulrike von Luxburg). The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Excellent research and teaching are Tübingen’s answer to … University of Tübingen Department of Computer Science Maria von Linden Str. You should start planning it 12 to 18 months before your departure. University of Tübingen Multiple locations . Research group on theory of machine learning. Application deadline for international (non-EU) citizens as well as German and EU citizens: 30 April. Which topics are dealt with in the program? Germany. University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. 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. 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. 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. by SoP | May 25, 2017 | News | 0 comments. 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. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. The University of Tübingen, with its more than 500 years of history, is one of Germany’s oldest. 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. 08.07.2020. Overview of application deadlines, Program start In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … Room: 30-5/A24. Summer term 2015: Machine learning (Master CS and Maths, 4 + 2 SWS). code. His research interests are in machine learning, statistics and optimization and the application of machine learning … 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 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 University of Tübingen is one of the most prestigious research universities worldwide. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. 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. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. 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. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . 4 LP. This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. Bachelor degree in subject related to machine learning i.e. Erasmus-Programme (e.g. Sleep helps us to retain the information that we have learned during the day. compositionality. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. … 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. Home. Department of Computer Science Sand 14 72076 Tübingen +49 7071 29 76361 +49 7071 29 5719, Studying at the Department of Computer Science, Geschwister-Scholl-Platz 72074 Tübingen Germany, © 2020 Eberhard Karls Universität Tübingen, Tübingen. Machine learning is a key technology of the 21st century. University of Tübingen. Home. 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. Image Processing, Computer Vision, and Machine Learning applications See also our research webpage. The University of Tübingen Eberhard Karls is a respected academic authority in humanities, natural sciences and theology. Welcome to our International Master's Program in Machine Learning! Please arrange for a cv, a motivation letter, BSc. 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). 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. [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 … Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… 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. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Datum: Thema: Betreuung: Referent(in) 19.04.2005: Classification of Machine Learning Methods: Alexander Sung-26.04.2005 Research group on theory of machine learning. Advice and internships The University’s Career Service assists with careers orientation and getting started in your profession. Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. 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). Zeynep Akata Professor. We maintain exchanges with partners around the globe - both at institutions of higher education and at non-university research institutions. I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. Which requirements must I meet for studies? Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. ... University … Winter semester, Language of instruction Our innovative courses such as machine learning, medical technology, molecular medicine, geoecology, nano-science, media informatics, sports management and Islamic theology. 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. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision-making processes. The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. At least one practical course and one seminar are recommended for the second or third semester. 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. Develop an algorithm to automate the picking plan for mushroom clusters. The genius loci - the spirit of the place - is now stronger than ever. 72076 Tübingen. Machine Learning The area of Machine Learning introduces key concepts of the field. I am also a fellow at the Max Planck Institute for Intelligent Systems. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning For further information see the website Faculty of Science - Doctoral Studies. papers. Welcome to our International Master's Program in Machine Learning! This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. Jobs and internships can be found in the Praxisportal. 6. No, Application deadline 1st semester about our group. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. Faculty Department of Computer Science. wird in der Vorbesprechung festgelegt. Here you will find general information and advice on studying abroad. Education in problem solving capabilities is a central training objective. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. 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. 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. 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. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Welcome to our International Master's Program in Machine Learning! 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 …