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.
The Software Engineer will be responsible to design, develop and install software solutions. The responsibilities include gathering user requirements, defining system functionality and writing code in various languages, like Java, Ruby on Rails or .NET programming languages (e.g. C++ or JScript.NET.) Our ideal candidates are familiar with the software development life cycle (SDLC) from preliminary system analysis to tests and deployment. Ultimately, the role of the Software Engineer is to build high-quality, innovative and fully performing software that complies with coding standards and technical design.
We are looking for multiple Research Fellows and Research Assistants to participate in a new AI in Healthcare project at the Institute of Data Science and the School of Computing, National University of Singapore. The project is funded under the “AI in Health Grand Challenge” by AI Singapore, led by Professors Wynne Hsu, Mong-Li Lee, See-Kiong Ng and Chee-Yong Chan together with clinicians from Singhealth, which is one of Singapore's largest healthcare provider. Interested individual please send your cover letter and resume to email firstname.lastname@example.org
The Research Fellow will be responsible for undertaking in-depth research and innovation in data science, machine learning, artificial intelligence and big data that lead to publications in top-tier international conferences and journals, as well as real-world implementations. He/she will be working closely with the Principal Investigator and lab members on one or more research projects with external collaborators on interesting and challenging real-world datasets and problem statements.
The Research Assistant will be responsible for designing and implementing efficient and robust systems, and applications for algorithms and methodologies based on state-of-the-art research in data science, machine learning, artificial intelligence and big data. He/she will be working closely with the Principal Investigator and lab members on one or more research projects with external collaborators on interesting and challenging real-world datasets and problem statements.
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.
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.