The team of Prof Loh Kian Ping invites applications for a Research Fellow position, working in the area of theory and computational methods of condensed matter physics.
You will lead the execution and governance of the hospital's Institutional Research Programme, working closely with Principal Investigators and key stakeholders to drive programme performance, ensure compliance with funding and governance requirements, and achieve strategic research objectives. You will provide oversight of programme implementation which includes managing workplans, monitoring research KPIs and funding outcomes, identifying risks and opportunities, formulating recommendations to address issues and improve programme performance, and driving stakeholder engagement to support informed decision-making and continuous improvement. You will also play a key role in programme governance, institutional reporting, and strategic initiatives development to strengthen the hospital's research ecosystem and align it with national research priorities.
Support the supervisor in the various functions of the division and ACP to ensure that the division and ACP are running smoothly and on track to achieve its goals.
The RF will be responsible for new carbon materials enhanced concrete development (e.g. via incorporation of various carbon materials where they are securely stored but also enhance concrete property in different ways);
The RF will be responsible for new carbon materials enhanced concrete development (e.g. via incorporation of various carbon materials where they are not only securely stored but also enhance concrete property in different ways, such as conductive concrete, structural battery, supercapacitor, smart device like energy harvester, sensor, etc.);
Conduct high-quality research on issues related to peace and security, with particular emphasis on an interdisciplinary approach of international humanitarian law, with other fields, in particular, environment and armed conflict (IHL)
Design, develop, and evaluate Agentic AI and multi-agent architectures for task decomposition, planning, reasoning, coordination, and workflow orchestration within the Digital ATCO Assistant project.
PhD in Statistics, Biostatistics, Computer Science (Machine Learning, Artificial Intelligence), Applied Mathematics or related quantitative field with some relevant work experience.
Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.