JOBS FOR POSTDOCS & PHD STUDENTS
Original announcement: Thanks to generous gifts by Google DeepMind and by NVIDIA to Jürgen Schmidhuber's group at the Swiss AI Lab IDSIA, and thanks to a new SNF grant on deep learning-based video analysis, we can now offer additional jobs for postdocs and PhD students. (Recently we had job openings for the related RNNAIssance project.) We specifically invite applications from people with postdoc experience.
We are looking for outstanding candidates with experience / interest in topics such as deep learning neural networks, video analysis, RNNs and Long Short-Term Memory (LSTM), meta-learning or "learning to learn learning algorithms", evolutionary computation, RNN evolution, compressed network search, reinforcement learning (RL) for robots in realistic partially observable environments where traditional RL (for board games etc) does not work, unsupervised learning, curiosity-driven learning and the Formal Theory of Fun & Creativity, hierarchical reinforcement learning, general artificial intelligence, universal learning machines, search for programs running on general purpose computers such as RNNs (see our NIPS RNN Symposium), and "learning to think." (You will also collaborate with other lab members on other projects - we are one big family!)
The general goal is to advance the state of the art in machine learning and AI. Preferred start: Soon. Duration for postdocs: initially for 2 years, with possibility of prolongation.
INSTRUCTIONS: Submit your CV, a brief statement of research interests explaining why exactly you'd like to work with us, and a list of 3 references and their email addresses to rnnai@idsia.ch. (Do not send articles or transcripts or other large files - they will be deleted.) In the subject header, mention your full name followed by the keyword rnnai, and add "PhD" in case of PhD students, or add "postdoc" in case of postdocs. For example, if your name is Jo Mo, and you are applying as a PhD student, use subject: Jo Mo rnnai PhD. As a PhD student, you must also submit your full application to SUPSI through this PHD ONLINE FORM. As a postdoc, you must submit it through this POSTDOC ONLINE FORM. (We might re-open these forms again later).
PhD student salary: Initially CHF 46'000 per year. Standard postdoc salary: CHF 80'000 per year. Low Swiss taxes. There is travel funding in case of papers accepted at important conferences. There are also exciting connections to the world of AI startups.
There is an opportunity to participate in teaching courses (in English) on machine learning, in Switzerland's first A.I. Master's degree program at the University of Lugano.
Requirements are also published within the "Direttive interne SUPSI" (direttiva 7A, Art. 2) and within "Regolamento del personale SUPSI" on the website www.supsi.ch (follow SUPSI, Documenti ufficiali). Official language at IDSIA is English.
The Swiss AI Lab IDSIA was the smallest of the world's top ten AI labs listed in the 1997 "X-Lab Survey" by Business Week magazine. IDSIA's most important work was done after 1997 though. As of March 2017, the four most valuable public companies in the world (Apple, Alphabet/Google, Microsoft, Amazon) are heavily using IDSIA's deep learning algorithms. IDSIA won many international pattern recognition competitions, for example, the first official computer vision contests won by deep CNNs. Its highly cited Ant Colony Optimization Algorithms broke numerous benchmark records and are now widely used in industry for routing, logistics etc (today entire conferences specialize on Artificial Ants). IDSIA is also the origin of the first mathematical theory of optimal Universal Artificial Intelligence and self-referential Universal Problem Solvers (previous work on general AI was dominated by heuristics). IDSIA's artificial Recurrent Neural Networks learn to solve numerous previous unlearnable sequence processing tasks through gradient descent, Artificial Evolution and other methods. In particular, IDSIA's LSTM RNNs are now available to billions of smartphone users, e.g., for speech recognition, or machine translation through Google Translate. Research topics also include complexity and generalization issues, unsupervised learning and information theory, forecasting, learning robots. IDSIA's results were reviewed not only in science journals such as Nature, Science, Scientific American, but also in numerous popular press articles in TIME magazine, the New York Times, der SPIEGEL, and many others. Numerous TV shows on Tech & Science helped to popularize IDSIA's achievements. IDSIA is affiliated with the University of Lugano (USI) and USI's Faculty of Informatics and SUPSI. Many IDSIA alumni went on to become professors. Google DeepMind is heavily influenced by our former students: DeepMind's first PhDs in AI and Machine Learning came from our lab, one of them co-founder, one of them first employee; others joined later. IDSIA is located just outside the beautiful city of Lugano in Ticino (pics), the scenic southern Swiss province. Milano, Italy's center of fashion and finance, is 1 hour away, Venice 3 hours. Switzerland is the world's leading science nation. It is the origin of special relativity (1905) and the World Wide Web (1990), is associated with 105 Nobel laureates, and boasts far more Nobel prizes per capita than any other nation. It also has the world's highest number of publications per capita, the highest number of patents per capita, the highest citation impact factor, the most cited single-author paper, etc, etc. As of 2016, Switzerland is the world's most competitive country for the 7th year in a row, according to the World Economic Forum. It's also the happiest country (1990s average), according to the Happiness Foundation. More.RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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