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Position: Staff Researcher - Autonomous Learning
Institution: Technische Universität München
Location: München, Bayern, Germany
Duties: Work within a research team on exciting research projects • Organization of training and coaching programs for both internal and external users/partners • Organization of internal discussions and reading groups • Publication at top conferences and journals in the field of Artificial Intelligence, Machine Learning, and Computer Vision
Requirements: An outstanding university degree (M.Sc. or higher) in Computer Science, Mathematics or related technical disciplines. • Self-initiative, commitment, and a focus on fundamental research in ML. • Experience as a data scientist with both theoretical understanding and practical knowledge in statistics and machine learning, in particular, recommenders system and representation learning. • Expertise and practical proficiency with programming languages (Matlab, Python, Java, C/C++). • Practical experience with modern software tools for machine learning (Theano, TensorFlow, Keras). • Capability to produce outstanding analytical solutions based on thorough analyses of complex processes. • Knowledge of distributed version control systems (e.g. Git)
   
Text: MLL-EIG-MA-02-2017 STAFF RESEARCHER (M/F) - AUTONOMOUS LEARNING 05.12.2017, Wissenschaftliches Personal fortiss is the research and transfer institute on software-intensive systems and services in Munich, Germany. fortiss currently employs 130 researchers, and cooperates closely with the Technical University of Munich. The mission of the Machine Learning (ML) Lab at fortiss is to develop and provide ML-related theories, algorithms and tools, and to support users of ML, including both internal colleagues and external partners, for facilitating the integration of ML methods into applications. We are expanding our research team with STAFF RESEARCHER (m/f) - Autonomous Learning Your responsibilities are: • Work within a research team on exciting research projects • Organization of training and coaching programs for both internal and external users/partners • Organization of internal discussions and reading groups • Publication at top conferences and journals in the field of Artificial Intelligence, Machine Learning, and Computer Vision What we expect: • An outstanding university degree (M.Sc. or higher) in Computer Science, Mathematics or related technical disciplines • Self-initiative, commitment, and a focus on fundamental research in ML • Excellent communication and teamwork skills • Willingness and enthusiasm in teaching and coaching • Experience as a data scientist with both theoretical understanding and practical knowledge in statistics and machine learning, in particular, recommenders system and representation learning • Expertise and practical proficiency with programming languages (Matlab, Python, Java, C/C ) • Practical experience with modern software tools for machine learning (Theano, TensorFlow, Keras) • Capability to produce outstanding analytical solutions based on thorough analyses of complex processes • Knowledge of distributed version control systems (e.g. Git) • Very good knowledge of German and English What we offer: • An exciting and inspiring open research environment for realizing your ideas and for bringing them to the marketplace • A young, dynamic, and team-oriented working atmosphere • Space for new ideas, room for personal/professional growth, and the chance to take on new responsibilities • Close collaborations with other leading research groups worldwide and industrial technology leaders in automotive, aerospace, and industrial automation • Compensation according to the regulations of the collective wage agreement of the public service of the German provinces (TV-L) If interested, please send your complete application forms to career(at)fortiss.org together with at least two references whom we may contact. Application code: MLL-EIG-MA-02-2017 Notice that this code needs to be mentioned in the subject line of your application. Contact: Dr. Hao Shen Kontakt: career@fortiss.org Mehr Information http://www.fortiss.org
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