Job Openings

A core mission of the Institute is to develop the next generation of data scientists who have a good grasp of knowledge in mathematics, statistics, computing, and the application domains. The Institute is on a constant look-out for those who are passionate about data science to join our team to pursue research and development and become practitioners by gaining real-world experience with data science.


Current Openings

Postdoctoral fellow in Machine Learning (School of Computing) (Posted on: 28 November 2018)

  • Dr. Jonathan Scarlett (Assistant Professor, Computer Science & Mathematics) is seeking postdoctoral fellows to work on algorithms and/or theory in modern machine learning, with research topics potentially including the following:
  • - Sequential decision-making algorithms under uncertainty (e.g., black-box optimization, bandits, ranking)
  • - Robustness considerations in machine learning (e.g., model uncertainty, adversarial attacks)
  • - High-dimensional inference and learning (e.g., graph learning, structured estimation)
  • - Information-theoretic understanding of learning problems (e.g., fundamental performance limits)
  • Further information on Jonathan Scarlett's research interests can be found at https://www.comp.nus.edu.sg/~scarlett/.
  • The candidate should have a PhD in a relevant area such as machine learning, statistics, information theory, or theoretical computer science, and a strong publication record. The appointment will initially be for one year and renewable subject to performance. The salary will be highly competitive, and commensurate with the candidate's abilities and track record.
  • Applicants should submit a detailed CV and a short statement of research interests to Jonathan at scarlett@comp.nus.edu.sg.

Multiple Postdoctoral Data Scientist Positions for Grab-NUS AI Lab (Posted on: 15 May 2018)

Click here for further details.

Previous Openings

Research Fellow Position for Detecting Anomalies in Cyber Physical Systems with Generative Adversarial Networks on Multi-Sensor Time Series Data (Filled as of November 2017)

Job Summary:
  • The Research Fellow will be responsible for designing and implementing machine learning models using generative adversarial networks (GAN) on datasets generated by a complex cyber-physical system (CPS) dataset testbed with multiple sub-processes.
Requirements:
  • A PhD in Computer Science or equivalent, with specialization related to data mining, machine learning, or databases;
  • Proven ability to conduct independent research with a strong and relevant publication record;
  • Experienced in working with a diverse range of data types – prior experience in data analytics and machine learning for fault detection and diagnosis of cyber-physical systems would be a plus;
  • Excellent interpersonal communication and oral presentation skills in English
  • Experienced in working in a team, with people of diverse skillsets, including industry end-users

Research Fellow/Assistant Position for Medical Data Analytics Project (Filled as of October 2017)

Job Summary:
  • The Research Fellow/Assistant will be responsible for leveraging statistical, machine learning, artificial intelligence and/or longitudinal prediction techniques to build data analytics solutions to study (big) medical data, particularly, electronic health records data.
Requirements:
  • Candidate must be able to work within fast moving, ‘hands-on’, results orientated environments. S/he will have a ‘can do’ attitude and be passionate about building and developing new ideas and models
  • Ph.D. or Master in Statistics, Computer Science, AI/Machine Learning or related quantitative field
  • Experience in R, and has mastery of programming languages such as C/C++/Java
  • Fluent in English
  • Familiarity with data base, Tensorflow and scripting languages like Perl/Python is a plus

Research Fellow/Assistant Position for Information Credibility in Social Media Project (Filled as of August 2017)

Job Summary:
  • The Research Fellow/Assistant will be responsible for leveraging ML and Natural Language Processing (NLP) techniques to build solutions to assess the credability of information in Social Media.
Requirements:
  • Candidate must be able to work within fast moving, ‘hands-on’, results orientated environments. S/he will have a ‘can do’ attitude and be passionate about building and developing new ideas
  • Ph.D. or Master in Computer Science, AI/Machine Learning, Computational linguistics or related quantitative field
  • Experience in NLTK, OpenNLP, Stanford CoreNLP
  • Familiar with writing crawlers and has mastery of programming languages such as C/C++/Java and scripting languages like Perl/Python
  • Fluent in English and one or more Asian languages is a plus

Data Scientist (Research Fellow) Positions for Translational Research (Filled as of July 2017)

The Institute of Data Science (IDS) is currently building a team of next-generation data scientists to push the boundary of data science through transdisciplinary and translational research. The Institute works closely with industry partners and public agencies to innovate data-driven solutions for challenging real-world problems. We are seeking applicants who are both hands-on and scientifically-skilled, aspiring to become real data scientists who not only push the boundary of data science, but also create solutions for challenging real-world problems through their research.

The data scientists will be hired as research fellows (RFs) at IDS and should have a PhD in Computer Science, Mathematics, Engineering or equivalent, with specialization in data mining, machine learning, or databases.

As an IDS data scientist, you will have ample opportunities to work closely with internal and external collaborators to develop data science solutions for real-world problems, and to conduct unique and impactful use-inspired data science research that can be published in top academic journals and conferences. We are therefore seeking highly motivated candidates who are able to conduct independent research and have strong programming and communication skills. Most importantly, you should have the ambition to become a truly illustrious data scientist who is unafraid to dive into new domains to wrangle and mine messy real-world data in different shapes and sizes for a wide range of applications.

Data Engineer (Research Assistant) Positions for Translational Research (Filled as of May 2017)

The Institute of Data Science (IDS) is currently building a team of hands-on data engineers to develop state-of-the-art data science applications and solutions based on its innovative data science research. The Institute works closely with industry partners and public agencies on challenging real-world problems to create impact through data science. We are therefore seeking applicants who can help translate the outcomes of our research into real-world solutions.

The data engineers will be hired as research assistants (RAs) at IDS and should have a BS or MS in Computer Science or equivalent. We are looking for hands-on data engineers who have solid coding and application development skills, with a passion and pride to write robust, readable, and reusable code components and applications. He/She should be familiar with at least one ML library/framework, and have up-to-date knowledge in the latest cloud computing and other big data technologies. He/She should also have excellent interpersonal communication skills for working closely with internal and external collaborators to implement data science applications. Some prior R&D exposure would be a plus.

The IDS data engineer positions are particularly suitable for those who are seeking to build an illustrious career in data science and/or interested in exploring data science R&D for possible further studies. As an IDS data engineer, you will develop a keen understanding in the practice and application of data science and be experienced in developing new tools and platforms for effective processing and management of real-world data for analytics, and creating interactive visualization for data exploration and presentation. In addition, you will have ample opportunities to work together with our data scientists to perform state-of-the-art data mining and apply the latest machine learning models on real-world data.