The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant. Key Responsibilities: Collaborate with a PhD student to collect a large scale of out-of-distribution datasets. Collaborate with a research fellow to implement algorithms aimed at enhancing machine intelligence through compositionality. Apply developed algorithms to real-world applications with sparse data. Job Requirements: Bachelor’s degree in computer science, software engineering, mathematics, or a related field. Background in machine learning. Proficiency in programming languages such as Python, and experience with machine learning libraries (e.g., TensorFlow, PyTorch). Excellent problem-solving skills and ability to work as part of a team. Passion for applying machine learning algorithms to real-world problems, particularly in domains with limited data. Effective communication skills and ability to convey complex technical concepts to both technical and non-technical stakeholders. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU 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 (ERI@N). 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 www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive