Dear All,
Two Research Fellow positions are currently open in the Department of Statistics & Data Science at the National University of Singapore (NUS). These are two-year contracts, with the possibility of renewal upon review. While the research themes are flexible, our primary interest lies in the design and analysis of statistical methods for data-assimilation of high-dimensional time-series data. We anticipate applying tools from reinforcement learning, Koopman operators, and unsupervised representation learning, supplementing the more conventional techniques in state-space modeling (particle filters, EnKF, variational approaches, etc…) Details:<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Falexxthiery.github.io%2Fjobs%2F2024_koopman%2F2024_koopman.html%23details&data=05%7C01%7Cuai%40engr.orst.edu%7C71f5dfb9530145187d4008dbca66aa55%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638326314535534795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ZcY5Z4cTZkvn3bbqpbB%2BFlEEqSr9YukOtiMC3Hg8ew8%3D&reserved=0> * Start Date: Immediate * Duration: 2 years (Renewable for up to an additional year) * Salary Range: S$ 70k-100k / Year, plus additional benefits Requirements:<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Falexxthiery.github.io%2Fjobs%2F2024_koopman%2F2024_koopman.html%23requirements&data=05%7C01%7Cuai%40engr.orst.edu%7C71f5dfb9530145187d4008dbca66aa55%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638326314535534795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=gUUDLTRxI1gdFV8d9veIRNe7CHzAzgCWEgobYvHIqS0%3D&reserved=0> Ideal candidates should have: * a Ph.D. in Statistics, Computer Science, Physics, or a closely related field. * strong experience in Python programming. * experience with at least one deep-learning framework * a demonstrated record of academic publications * research experience that aligns with the core focus of the research programme. Contact:<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Falexxthiery.github.io%2Fjobs%2F2024_koopman%2F2024_koopman.html%23contact&data=05%7C01%7Cuai%40engr.orst.edu%7C71f5dfb9530145187d4008dbca66aa55%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638326314535534795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=3kvBLKptQxtGA6VsJq1ae7YlfpPxyoFIlHa7vZ47REA%3D&reserved=0> Queries about this post should be addressed to Alex Thiery at a.h.thi...@nus.edu.sg We highly encouraged prospective applicants to get in touch informally to discuss further details about the position first. This project is in collaboration with Jeremy Heng<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.google.com%2Fview%2Fjeremyheng%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C71f5dfb9530145187d4008dbca66aa55%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638326314535534795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=CuuMfKYng0ciuh36HgbvE6O4YLhqcowDlLGZxC90AOQ%3D&reserved=0> at ESSEC@Singapore. The positions will remain open until we find the right candidates. Link to Position Description https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Falexxthiery.github.io%2Fjobs%2F2024_koopman%2F2024_koopman.html&data=05%7C01%7Cuai%40engr.orst.edu%7C71f5dfb9530145187d4008dbca66aa55%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638326314535534795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=QgmqZYwshbDEEK4FOOlkMV13zNKoEPyThFFAB6RO874%3D&reserved=0 Best wishes, Alex. -- Alexandre Thiery, Department of Statistics & Data Science, National University of Singapore https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Falexxthiery.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C71f5dfb9530145187d4008dbca66aa55%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638326314535534795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=hHA1dyJyt16LAtNfgoaTVNFlb%2FGqehXdRp64QzvgXJ0%3D&reserved=0<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Falexxthiery.github.io%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C71f5dfb9530145187d4008dbca66aa55%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638326314535534795%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=hHA1dyJyt16LAtNfgoaTVNFlb%2FGqehXdRp64QzvgXJ0%3D&reserved=0> ________________________________ Important: This email is confidential and may be privileged. If you are not the intended recipient, please delete it and notify us immediately; you should not copy or use it for any purpose, nor disclose its contents to any other person. Thank you.
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