Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Responsible for building ship simulation environments, developing global path planning algorithm and Deep Reinforcement Learning (DRL) learning models that can process to perform sea navigation task. Develop and implement a ship navigation simulation environment. Design and implement rule-based optimization algorithms such as A-Star, ant colony and genetic algorithm. Design and implement learning algorithms that can process input data and generate ship commands with confidence scores. Develop a human-machine interaction board to provide action recommendation for operator assistance. Conduct thorough research and contribute to the publication of research findings in top-tier conferences and journals. Job Requirements: PhD degree in Computer Science or Electrical and Electronic Engineering or related fields Proficient programming skills and experience (Python, C++) Experience or knowledge in develop navigation frameworks Experience or knowledge in path planning algorithms such as such as A-Star, ant colony and genetic algorithm Experience or knowledge in Deep Reinforcement Learning and Graph Convolutional Neural Networks for collision avoidance Background in robotic motion planning research projects. (e.g., holonomic and non-holonomic motion models) Experience in developing and working with simulation environments, such as Gazebo, CARLA, or Unity We regret to inform 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