Open positions – Postdoc positions in South Korea – Machine learning and Artificial intelligence – KAIST

    Open positions - Postdoc positions in South Korea - Machine learning and Artificial intelligence - KAIST

    Postdoc positions in South Korea (Open positions) in various areas of machine learning and artificial intelligence research, in Statistical Artificial Intelligence Lab at Korea Advanced Institute of Science and Technology (KAIST)

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



    Position

    Postdoc position

    No. of Position(s)

    Not specified

    Research area

    • Computer Science
    • Electrical Engineering
    • Mechanical Engineering
    • Machine learning
    • Inductive logic programming
    • Data mining
    • Signal processing
    • Nuclear physics
    • Chemical engineering
    • Nuclear Engineering

    Salary

    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

    PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Chemical Engineering or Nuclear Engineering

    Preference

    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

    Responsibilities/Job Description

    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

    How to Apply?

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

    Documents required

    CV and a brief cover letter

    About SAI-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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