Open positions – Multiple PhD positions in South Korea – Artificial Intelligence, Machine Learning and Robotics

    Open positions - Multiple PhD positions in South Korea - Artificial Intelligence, Machine Learning and Robotics

    PhD positions in South Korea (Open positions) to design new computational models and efficient inference algorithms to solve complex real-world problem for intelligent systems, in Statistical Artificial Intelligence Lab at Korea Advanced Institute of Science and Technology (KAIST)

    PhD positions (Open positions) in Statistical Artificial Intelligence Lab at Korea Advanced Institute of Science and Technology (KAIST)



    Position

    MS/PhD positions

    No. of Position(s)

    Multiple

    Research area

    • Artificial Intelligence
    • Machine Learning
    • Robotics

    Scholarship

    According to KAIST regulations

    Workplace

    Statistical Artificial Intelligence Lab

    Contract period

    According to KAIST regulations

    Inquiries

    Prof. Jaesik Choi
    Email: jaesik.choi@kaist.ac.kr

    Qualifications

    Master’s Degree in Artificial Intelligence, Machine Learning and Robotics

    Required Skills

    Good knowledge in programming and statistics

    Responsibilities/Job Description

    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.

    How to Apply?

    Email submission: jaesik.choi@kaist.ac.kr

    Documents required

    Send a brief introduction about you such as  CV and the statement of purpose.

    About Statistical Artificial Intelligence Lab @ KAIST

    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.

    About KAIST

    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.

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