+49 351 463-34756) or the Representative of Employees with Disabilities (Mr. Roberto Lemmrich, tel. Jeffrey Kelling (HZDR), Heide Meißner (HZDR), Steffen Seitz (TU Dresden), Peter Steinbach (HZDR), Peter Winkler (TU Dresden).

Shai Shalev-Shwartz and Shai Ben-David. Foundations for Machine Learning L. Y. Stefanus TU Dresden, June-July 2019 Slides 07 1 TU Dresden supports you with a programme specifically tailored to your needs (YOU PROF programme). At the Faculty of Computer Science, the Institute of Artificial Intelligence, for the Cluster of Excellence “Centre for Tactile Internet with Human-in-the-Loop” (CeTI), seeks to fill the, Chair (W3) of Explainable Artificial Intelligence. The prerequisite for admission is a first higher education degree that has been recognised in Germany and that qualifies the student for entry into a profession; or a degree from a state or state-approved university of cooperative education in information technology, mathematics, natural sciences, economics or engineering. The cooperation between humans and machines requires a mutual understanding in order to be able to predict actions, but also to provide insight into decision-making processes when an observed system behaviour does not meet expectations. Professor of Machine Learning for Computer Vision at TU Dresden Honorary Professor of the University of Tübingen Affiliate of the Center for Systems Biology Dresden (CSBD) 10, 01069 Dresden and in electronic form (CD, USB flash drive or via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de by sending it to dekan.inf@tu-dresden.de), Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https: //tu-dresden.de/karriere/datenschutzhinweis. For further questions, please contact the Dean of the Faculty of Computer Science, Prof. Dr. Uwe Aßmann, tel. Excellent teaching capabilities are assumed, as well as a habilitation or habilitation-equivalent accomplishments. © 2015 - 2020 THE World Universities Insights Limited. Dear Machine Learning Enthusiasts and Practitioners. We look forward to see you at the Workshop, the MLC organising team! Iris Braun, tel. We place special emphasis on international publications, active participation in the Cluster of Excellence and the independent acquisition of research projects in the above-mentioned fields. Honorary Professor of the University of Tübingen. Hence, we particularly encourage women to apply. We are always looking for helping hands.

+49 351 463-38063) or the Representative of Employees with Disabilities (Roberto Lemmrich, tel. Mentoring, various coaching sessions, and special continuing education programmes and support offers provide active professional guidance throughout the duration of the temporary position of the Junior Professorship. This includes the opportunity of interdisciplinary cooperation with computer scientists, cognitive neuroscientists, psychologists, mathematicians and engineers as well as access to state-of-the-art technologies and computing infrastructures. PS. Proof of the applicant’s … 22.02.2018 (Thursday) - 23.02.2018 (Friday), 09:00 - 14:00 APB-1004 , Nöthnitzer Str.46 , 01187 Dresden Please find the german version under: https://tu-dresden.de/stellenausschreibung/7908. to: TU Dresden, Dekan der Fakultät Elektrotechnik und Informationstechnik, Herrn Prof. Dr.-Ing. Apply Today. In case of any further questions, don’t hesitate to contact our team members! Your teaching obligation for the current duration of the Cluster of Excellence will be reduced to four hours per week. In this context, the Machine Learning group is engaged with the automated classification of sleep stages, the detection of sleep-related breathing and sleep disorders and the automated derivation of recommendations for action. It is expected that interactions between man and machine will in future very often be characterised by machine-learned models. 10, 01069 Dresden or via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de to dekanat.et@tu-dresden.de.

Understanding Machine Learning: From Theory to Algorithms. Essential elements of the evaluation will be the scientific success in the form of subject-relevant and high-quality publications, successful acquisition of third-party research funds as well as related project management, commitment and success in teaching performances and promotion of young scientists as well as the development of innovative teaching contents for the field of “Communication Systems” with positively evaluated teaching performances in both German and English. Your responsibilities also include participation in academic self-administration at the faculty and TU Dresden.

We are looking for an expert with a proven international track record in machine learning with experience in the research fields relevant to CeTI. At TU Dresden, the Faculty of Electrical and Computer Engineering, Institute of Communication Technology, for the Cluster of Excellence “Centre for Tactile Internet with Human-in-the-Loop” (CeTI) seeks to fill the, Junior Professorship (W1) of Haptic Communication Systems.
The workshop venue is the “Festsaal der Wirtschaftswissenschaften”, Hülße-Bau on the TU Dresden main campus. You will teach courses on machine learning in German and English in all study programmes of the Faculty of Computer Science. Potential fields of research include the formalisation of interpretability, methods for the analysis of black-box models, evaluation of interpretable models, interpretable models from unsupervised and reinforcement learning, design of algorithms for interactive machine learning, human-centred machine learning as well as systems for online and interactive learning. at the earliest possible date, for a limited four-year contract. https://gcoe-dresden.de/1st-machine-learning-community-workshop-dresden/, 1st Machine Learning Community Workshop Dresden, 2nd Machine Learning Community Workshop Dresden. Machine Learning on Graphs becomes a first-class citizen at AI conferences while being not that mysterious as you might have imagined . If you’d like to help organizing or support our workshop, please let us know. This is an open platform to exchange ideas and discuss trends in machine learning, bring local research and industry together, to foster collaboration and give students an opportunity to get early con +49 351 463-38215, email: uwe.assmann@tu-dresden.de. In addition, the cooperation with the Faculty of Psychology and its research groups of Cognitive Neurosciences, as well as with Competence Center for Big Data (ScaDS) and the Center for Systems Biology Dresden (CSBD) are intended.


TU Dresden seeks to employ more female professors. The prerequisite for admission is a first higher education degree that has been recognised in Germany and that qualifies the student for entry into a profession; or a degree from a state or state-approved university of cooperative education in information technology, mathematics, natural sciences, economics or engineering. The 1st MLC workshop will take place on May 15th 2018 with over 50 researchers from Dresden and Leipzig, who will …, Tags: machine learning, MLCdresden, workshop, Permanent link to this article: https://gcoe-dresden.de/1st-machine-learning-community-workshop-dresden/, © 2019 Dresden GPU Center of Excellence. Your duties include active participation in academic selfadministration. If you have any questions about these topics, please contact the Equal Opportunities Officer of the Faculty of Electrical and Computer Engineering (Ms. Marcella Oberst, tel. The position offers an excellent environment within the DFG-funded Cluster of Excellence. We wish for the future holder to play a central role within CeTI, close cooperation within the Faculty of Computer Science and in the School of Engineering Sciences is desired. Deep Learning. Symposium: Machine learning for computer vision. Cambridge University Press, 2014. Affiliate of the Center for Systems Biology Dresden (CSBD). Karlheinz Bock, Helmholtzstr. 10 The university is a certified family-friendly university and offers a Dual Career Service. Modern methods of pattern recognition, machine learning (ML) and artificial intelligence (AI) are applied. © 2015 - 2020 THE World Universities Insights Limited. Please submit your application, including CV, description of your scientific career, a list of your scientific publications, and a list of courses taught, results of evaluations (preferably of the last three years) as well as a certified copy of the certificate of your highest academic degree as hard copy by 01.10.2020 (stamped arrival date of the university central mail service applies) and in electronic form (CD, pen drive, etc.) We welcome abstracts for talks at mlc@mailbox.tu-dresden.de by 25th of April . Admission requirements.