The Machine Learning research group has several openings for PhD candidates and Postdoctoral researchers in the context of Luc De Raedt’s ERC Advanced Grant Project SYNTH (Synthesising Inductive Data Models) that starts on September 1, 2016, see http://synth.cs.kuleuven.be/. The openings are related to the areas of
• The automation of data science • Probabilistic Programming • Statistical relational artificial intelligence • Constraint programming • Data Mining & Machine Learning • Inductive databases and rule learning • Program synthesis and inductive programming The ERC SYNTH Project The ultimate goal of the SYNTH project is to automate the task of the data scientist when developing intelligent systems, which is to extract knowledge from data in the form of models. This extraction process involves many steps: one needs to select the right subset of the data, put that data in the right form, determine what the learning tasks will be, select the right algorithms, evaluate the results, etc. This makes data science a real craft and requires the involvement of highly skilled data scientists. The key research question that we want to answer in the SYNTH project is whether it is possible to automate or semi-automate the data science process. The goal of SYNTH is to develop theory, methodology, techniques and tools that automate the different steps in this process. When we succeed it will become much easier to analyse data. The DTAI Research group at KULeuven The lab for Declarative Languages and Artificial Intelligence hosts about 12 professors, 6 post-docs and 40 PhD students. DTAI is internationally renowned for its expertise in integrating different forms of reasoning (inductive, deductive and probabilistic), in logical learning, statistical relational learning, probabilistic programming, learning from structured data (relational databases and graphs), inductive logic programming, inductive databases, action-activity learning, knowledge representation and data mining, and constraint programming. In addition to fundamental research in machine learning and data mining, the DTAI group applies the developed techniques to concrete cases situated in intensive care monitoring, predictive maintenance, smart self-diagnosis, mechatronics, robot manipulation and navigation, bio- and cheminformatics, natural language processing, smart electronics, computer vision, etc. For these applications, DTAI cooperates with other groups from strategically chosen research areas. The KU Leuven Situated in Belgium, in the heart of Western Europe, KU Leuven has been a centre of learning for nearly six centuries. Today, it is Belgium's largest university and, founded in 1425, one of the oldest and most renowned universities in Europe. KU Leuven offers a wide variety of international master’s programmes, all supported by high-quality, innovative, interdisciplinary research. It counts about 11,500 staff and 57,000 students, including 7,500 international students representing 146 nationalities. Since its founding, KU Leuven has been based in the city that shares its name. Leuven is a pleasant, safe and bustling student town, where centuries-rich history meets cutting-edge science. The ideal Candidate The ideal candidate is a computer scientist with interest and expertise in artificial intelligence, databases, data mining, machine learning, and/or probabilistic graphical models. He/she is interested in theory, a skilled programmer, and excited about applications of AI and data science. He/she is dynamic and open-minded. KU Leuven is an equal opportunity employer. Positions will be filled as soon as qualified and suitable candidates are found. Info? Please contact Prof. Luc De Raedt ([email protected]) Apply? http://synth.cs.kuleuven.be/ There are also openings on other projects related to probabilistic programming. _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
