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Demonstrated the ability to obtain extramural funding A good track record of supervising research staff, postdocs, students, and interns in relevant fields Experienced in cross-disciplinary research initiatives
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University’s goals Manage the enrollment, renewal, and distribution processes for all benefits plans Ensure compliance with regulations pertaining to benefits and stay updated on changes in legislation Handle
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Prepare matriculation and distribution of matric cards for incoming students Programme Operations: Academic Services Prepare timetables of classes and examinations Prepare attendance lists of the modules
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: Financial Reporting & Closing Activities: Support month-end, quarter-end, and year-end closing processes by retrieving Net Asset Value (NAV) statements, distribution, and redemption notices for various
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Mathematics Position Type: Postdoc Location: NTU, Singapore Deadline: The position is open until filled Research positions in Statistical Learning at the School of Physical and Mathematical Sciences of NTU
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(networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving efficient algorithms with provable
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: The successful applicant will be responsible for: Obtaining rigorous mathematical results at the interface of optimization, geometry, and data science Designing, implementing, and testing algorithms Engaging in
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of investment returns. Responsible for the preparation of investment fund reporting such as Income allocation report and distribution reports. 6. Development and Sinking Fund accounting and reporting: Responsible
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Scholarships (RSS) based on University guidelines. Propose and manage RSS distribution to ensure full utilisation and compliance with University/MOE requirements. Coordinate exam logistics, invigilation duties
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with