10 text-mining positions in Singapore

Research Engineer I (Computer Science/ Programming/ Data Science)

Assoc Prof Edson Tandoc Jr. Key Responsibilities: Develop solutions for data mining of text and stickers/images/videos on Telegram Develop solutions to categorize Telegram users based on network

Temporary Data Scientist (IORA)

, etc.), text analytics/mining and machine learning (anomaly detection, gradient boosted decision tree, etc.). • Experience in building and optimizing data pipelines, working with different data

Research Engineer I (Computer Science/ Programming/ Data Science)

Assoc Prof Edson Tandoc Jr. Key Responsibilities: Develop solutions for data mining of text and stickers/images/videos on Telegram Develop solutions to categorize Telegram users based on network

Full Professor/Associate Professor in Digital Humanities

preservation, text/data mining, cultural analytics, data visualization, data modelling, designing user-experiences, educational games, digitally mediated articulations of literature and art, adaptation studies

Full Professor or Associate Professor in Digital Humanities

include: -    The candidate should demonstrate a solid grasp of analytical methods that inform the Digital Humanities in the Arts Design and Media, such as digital heritage preservation, text/data mining

Research Fellow (Project Manager)

of experience in conducting statistical analysis (regression, analysis of variance, etc.), text analytics/mining and machine learning (anomaly detection, gradient boosted decision tree, etc.). • Minimum 1-2 years

Research Associate (Data Scientist)

analysis (regression, analysis of variance, etc.), text analytics/mining and machine learning (anomaly detection, gradient boosted decision tree, etc.). Minimum 1-2 years of experience building and

SCIS Full-Time Faculty, Assistant Professor on Tenure Track

Distributed System Security. OUR CORE RESEARCH AREAS Artificial Intelligence & Data Science Data Management & Analytics, including data mining; text mining; data visualisation and analytics; recommender systems

SCIS Full-Time Faculty, Professor on Tenure Track

Intelligence & Data Science Data Management & Analytics, including data mining; text mining; data visualisation and analytics; recommender systems; social sensing and activation. Intelligent Systems

SCIS Full-Time Faculty, Professor on Tenure Track

System Security. OUR CORE RESEARCH AREAS Artificial Intelligence & Data Science Data Management & Analytics, including data mining; text mining; data visualisation and analytics; recommender systems