[Vacancies] Postdoc positions
[Descriptions] The Statistical Artificial Intelligence Laboratory (SAIL) at Korea Advanced Institute of Science and Technology (KAIST) invites applications for postdoctoral positions in various areas of machine learning and artificial intelligence research. The successful candidate may work with Prof. Jaesik Choi on building various intelligent algorithms including the automatic statistician system, deep learning based surveillance system, intelligent fault diagnosis, general principles (theory) of large-scale dynamic systems. Successful candidates need to have solid background in one of the specified area of interests: machine learning, inductive logic programming, data mining, signal processing, control, nuclear physics, and chemical engineering. We welcome motivated candidates with PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Chemical Engineering or Nuclear Engineering. If you are interested in the postdoctoral positions, please contact Prof. Jaesik Choi (firstname.lastname@example.org) with a CV and a brief cover letter.
[Vacancies] Multiple PhD positions
The Statistical Artificial Intelligence Laboratory (SAIL) at Korea Advanced Institute of Science and Technology (KAIST) invites applications for PhD studies (including MS/PhD studies) in Artificial Intelligence, Machine Learning and Robotics. We aim to design new computational models and efficient inference algorithms to solve complex real-world problem for intelligent systems. Our lab respects students’ preference on choosing thesis topic, and will provide opportunities to work with various applications (e.g., robotics, environment, network, security and finance). Our lab is closely collaborating with researchers in the Lawrence Berkeley National Laboratory and the Argonne National Laboratory. Students may also have chances to visit and work with other research groups during graduate studies.
[Required Skills] Good knowledge in programming and statistics.
[Application Materials] If you are interested in our lab, please contact Jaesik Choi (email@example.com). It would be good if you send a brief introduction about you such as CV and the statement of purpose.
The primary research goal of the SAI-Lab is to build new models and algorithm to achieve human-level artificial intelligence. The main research areas are statistical relational learning, statistical inference with large-scale graphical models, predicting events in dynamic systems, spatio-temporal video data analysis and learning robot actions. Specifically, we focus on building efficient inference algorithms for accurate prediction of future events in large real-world data.
KAIST is a national research university located in Daedeok Innopolis, Daejeon, South Korea. KAIST was established by the Korean government in 1971 as the nation’s first public, research-oriented science and engineering institution. KAIST also has been internationally accredited in business education, and hosting the Secretariat of AAPBS. KAIST has approximately 10,200 full-time students and 1,140 faculty researchers and had a total budget of US$765 million in 2013, of which US$459 million was from research contracts. In 2007, KAIST partnered with international institutions and adopted dual degree programs for its students. Its partner institutions include the Technical University of Denmark, Carnegie Mellon University, the Georgia Institute of Technology, the Technical University of Berlin, and the Technical University of Munich.