Machine Teaching seminar at Saarland University
MPI-SWS faculty member Adish Singla is teaching a seminar on Machine Teaching at Saarland University in the Winter 2019/2020 semester.
News 2019
Social & Information Systems
Three MPI-SWS papers accepted at NeurIPS 2019
The following three MPI-SWS papers have been accepted to NeurIPS 2019, the flagship conference in machine learning:
- Teaching Multiple Concepts to a Forgetful Learner
- Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
- Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
MPI-SWS researchers receive Microsoft Research PhD Scholarship
Researchers from the Machine Teaching Group at MPI-SWS have won a Microsoft Research PhD Scholarship for the project "Reinforcement Learning for Enabling Next-Generation Human-Machine Partnerships". The scholarship provides funding for one PhD student. More details about the scholarship programme can be found here.
Goran Radanovic joins MPI-SWS
Goran Radanovic joined MPI-SWS as a research group leader on Sep 16, 2019. He is generally interested in studying AI systems, and more specifically in the design and analysis of systems with intelligent and self-interested agents. Particular topics of interest include value-aligned artificial intelligence, human-AI collaboration, and decision making systems with societally-aware utility functions.
Prior to joining MPI-SWS, he was a postdoctoral researcher at Harvard University, where he worked with Prof. David C. Parkes. ...
Prior to joining MPI-SWS, he was a postdoctoral researcher at Harvard University, where he worked with Prof. David C. Parkes. ...
Goran Radanovic joined MPI-SWS as a research group leader on Sep 16, 2019. He is generally interested in studying AI systems, and more specifically in the design and analysis of systems with intelligent and self-interested agents. Particular topics of interest include value-aligned artificial intelligence, human-AI collaboration, and decision making systems with societally-aware utility functions.
Prior to joining MPI-SWS, he was a postdoctoral researcher at Harvard University, where he worked with Prof. David C. Parkes. He received his Ph.D. in Computer Science from the Swiss Federal Institute of Technolgy in Lausanne (EPFL), under the supervision of Prof. Boi Faltings. He obtained his Master’s and Bachelor’s degrees in Computer Science fromthe Faculty of Electrical Engineering and Computing at the University of Zagreb.
Prior to joining MPI-SWS, he was a postdoctoral researcher at Harvard University, where he worked with Prof. David C. Parkes. He received his Ph.D. in Computer Science from the Swiss Federal Institute of Technolgy in Lausanne (EPFL), under the supervision of Prof. Boi Faltings. He obtained his Master’s and Bachelor’s degrees in Computer Science fromthe Faculty of Electrical Engineering and Computing at the University of Zagreb.
Krishna Gummadi appointed MPI-SWS Director
Krishna Gummadi has accepted the position of scientific member of the Max Planck Society and director at the MPI for Software Systems, effective 1 June 2019. Krishna has been a faculty member at the institute since July 2005.
Krishna's appointment solidifies our institute's foothold in the emerging area of social computing and secures Krishna's leadership and contributions to the institute for the future.
Krishna's appointment solidifies our institute's foothold in the emerging area of social computing and secures Krishna's leadership and contributions to the institute for the future.
Junior Research Group leader positions at MPI-SWS
The Max Planck Institute for Software Systems (MPI-SWS) is inviting applications for Junior Research Group leader positions in systems and machine learning (SysML), human-oriented machine learning (fairness, accountability, transparency, and ethical aspects of AI), adversarial ML, reinforcement learning, human-computer interaction with ML/social aspects, natural language processing, and learning & cognitive sciences.
Our Junior Research Group program offers young scientists the opportunity to develop their own research program. The position is funded for 5 years with the possibility of a 2-year extension. ...
Our Junior Research Group program offers young scientists the opportunity to develop their own research program. The position is funded for 5 years with the possibility of a 2-year extension. ...
The Max Planck Institute for Software Systems (MPI-SWS) is inviting applications for Junior Research Group leader positions in systems and machine learning (SysML), human-oriented machine learning (fairness, accountability, transparency, and ethical aspects of AI), adversarial ML, reinforcement learning, human-computer interaction with ML/social aspects, natural language processing, and learning & cognitive sciences.
Our Junior Research Group program offers young scientists the opportunity to develop their own research program. The position is funded for 5 years with the possibility of a 2-year extension. Applicants must have completed a doctoral degree in computer science or related areas and must have demonstrated outstanding research vision and potential to successfully lead a research group. Successful candidates are expected to build a highly visible research agenda, to mentor junior scientists, and to participate in collaborative projects.
The Max Planck Institute for Software Systems is located in Saarbruecken and Kaiserslautern in Germany. We maintain an open, international, and diverse work environment and seek applications from outstanding researchers regardless of national origin. Our working language is English. We collaborate with several major research institutions worldwide and have high international visibility. There is generous travel, administrative, and technical support available for all group members.
Please apply at https://apply.mpi-sws.org/ under ``Research Group Leader''. You need to upload your CV, a research plan, an optional teaching statement, and 3-5 references. Reviewing of applications will commence on 15 May 2019 and will continue until the positions are filled. The expecting starting date for the position is Fall 2019. Informal inquiries can be addressed to applications-sis@mpi-sws.org.
The Max Planck Society is committed to employing more individuals with disabilities and expressly welcomes them to apply. The Max Planck Society seeks to increase the percentage of women in the areas where they are underrepresented and expressly welcomes them to apply.
Our Junior Research Group program offers young scientists the opportunity to develop their own research program. The position is funded for 5 years with the possibility of a 2-year extension. Applicants must have completed a doctoral degree in computer science or related areas and must have demonstrated outstanding research vision and potential to successfully lead a research group. Successful candidates are expected to build a highly visible research agenda, to mentor junior scientists, and to participate in collaborative projects.
The Max Planck Institute for Software Systems is located in Saarbruecken and Kaiserslautern in Germany. We maintain an open, international, and diverse work environment and seek applications from outstanding researchers regardless of national origin. Our working language is English. We collaborate with several major research institutions worldwide and have high international visibility. There is generous travel, administrative, and technical support available for all group members.
Please apply at https://apply.mpi-sws.org/ under ``Research Group Leader''. You need to upload your CV, a research plan, an optional teaching statement, and 3-5 references. Reviewing of applications will commence on 15 May 2019 and will continue until the positions are filled. The expecting starting date for the position is Fall 2019. Informal inquiries can be addressed to applications-sis@mpi-sws.org.
The Max Planck Society is committed to employing more individuals with disabilities and expressly welcomes them to apply. The Max Planck Society seeks to increase the percentage of women in the areas where they are underrepresented and expressly welcomes them to apply.
MPI-SWS article published in the Proceedings of Academy of Sciences (PNAS)
The article "Enhancing Human Learning via spaced repetition optimization", coauthored by MPI-SWS and MPI-IS researchers, has been published in the Proceedings of the National Academy of Sciences (PNAS), a highly prestigious journal.
The (open-access) article can be found here: https://www.pnas.org/content/early/2019/01/18/1815156116.
The (open-access) article can be found here: https://www.pnas.org/content/early/2019/01/18/1815156116.