Research Associate

Research Associate (Computer Science) page is loaded## Research Associate (Computer Science)locations: NTU Main Campus, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: R Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #5 for Data Science and AI by QS World University Ranking.A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.The College of Computing and Data Science (CCDS) invites applications for the position of Research Associate.**Key Responsibilities:*** Conduct individual research within the designed project: process data, develop research methods, build and evaluate computer vision and machine learning algorithms empirically.* Author research articles at an international level for peer-reviewed conferences.* Engineer software based on the research outcomes of the project and distribute this on the group’s web.* Manage own academic research and administrative activities.* Adapt existing and develop new scientific techniques and experimental protocols.* Test hypotheses and analyse scientific data from a variety of sources.* Contribute ideas for new research projects.* Develop ideas for generating research income, and present detailed research proposals to senior researchers.* Any other duties appropriate with the role.**Job Requirements:*** Hold a relevant Master’s degree in Computer Science or equivalent.* Sufficient theoretical and practical knowledge of methodologies such as deep and statistical learning.* Excellent communication skills, including the ability to write for publication, present research proposals and results, and present the research output at meetings.* Strong publication record at the principal international computer vision and machine learning conferences will be better.* Independent, highly analytical, proactive and a team player.* Excellent teamwork and verbal, written communication skills.* In-depth knowledge relevant to the project domain.* Demonstrated capability to conduct innovative research.* The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.* Ability to design and implement new experimental methods.* High-level expertise in the required experiment or modelling methods.We regret that only shortlisted candidates will be notified.Hiring Institution: NTUNTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU ( ).Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district.Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.For more information, visit #J-18808-Ljbffr