Research Fellow

Research Fellow (Reinforcement Learning Based Optimal Control) page is loaded## Research Fellow (Reinforcement Learning Based Optimal Control)locations: NTU Main Campus, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: R School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.Today, the School has become one of the world's largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges. Centre for System Intelligence and Efficiency (CSIE) harnesses and synergizes the research expertise of the School of Electrical and Electronic Engineering in the areas of control and optimization, sensing and information processing, machine learning, cyber physical systems, robotics and automation, power electronics, energy systems, and transportation systems.We are looking for a Research Fellow to support the research for the project titled "Reinforcement learning based event-triggered prescribed-time optimal output regulation for uncertain multi-agent systems".**Key Responsibilities:**The Research Fellow will work conduct research on the project "Reinforcement learning based event-triggered prescribed-time optimal output regulation for uncertain multi-agent systems". The role of this position includes:* Developing novel learning-based methodologies to address the prescribed-time control problem for uncertain dynamical systems.* Designing learning-based event-triggered optimal control algorithms to achieve prescribed-time optimal output regulation for uncertain multi-agent systems.* Investigating learning-based prescribed-time adaptive cruise control strategies for mixed vehicular platoons under cyber-attacks* Publishing research results in reputable journals and conferences.* Assisting the PI drafting new research proposal**Job Requirement:*** A PhD degree in relevant fields with past research focus on optimization, dynamic systems, output regulation, reinforcement learning, event-triggered control and prescribed-time control.* A strong publication record in relevant fields.* Excellent verbal and written communication skillsWe regret to inform 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