Are you interested in applying ideas from causality, causal machine learning and reinforcement learning in the context of financial data? Are you excited about investigating fundamental questions in causality or RL, but also evaluating practical feasibility on real-world complex data in the fintech domain?
The AMLab group (https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Famlab.science.uva.nl%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C9d4f41611a4b45a0644908dc1e9ce241%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638418906359949693%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=RUEvulUflSguDEVG5j23VBTRP566DUoC77Yspg3SJ%2B4%3D&reserved=0) at the University of Amsterdam (https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.uva.nl%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C9d4f41611a4b45a0644908dc1e9ce241%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638418906359949693%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=RP6Bk9kUYuhbrKzpgoxBu82ym%2Bdjh863gsE7Zw%2Bztu8%3D&reserved=0) is looking for two motivated PhD candidates interested in AI4Fintech in the domain of causal machine learning and reinforcement learning. This project is in a collaboration with Adyen ( https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.adyen.com%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C9d4f41611a4b45a0644908dc1e9ce241%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638418906359949693%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=PLc0DZQilJYMFggfuG20Et6xBkk7X5vIzITl%2FUYEE%2Fo%3D&reserved=0). One PhD student will focus on causal machine learning in the context of financial transaction data. This student will work on learning causal drivers of user behaviour through reusing existing A/B test results and designing new sample efficient experiments. This position will be supervised by dr. Sara Magliacane (https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsaramagliacane.github.io%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C9d4f41611a4b45a0644908dc1e9ce241%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638418906359949693%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=qn3ZnLhnm1HzVRElWRtF%2BcCgBV0pL2hMoYaQ9Zur%2FqQ%3D&reserved=0). Another student will work on novel reinforcement learning techniques to improve decision making about transactions. This requires dealing with a complex, combinatorial action space, and off-policy learning and evaluation. This position will be supervised by dr. Herke van Hoof ( https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fstaff.fnwi.uva.nl%2Fh.c.vanhoof%2Fhomepage%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C9d4f41611a4b45a0644908dc1e9ce241%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638418906359949693%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=49p49smZjoFAa02Nb1lkAZx4kLHK1KiTNleU8SH5HCE%3D&reserved=0). Both positions will be evaluated in a joint application process. Deadline: 11 March 2024 For more information and to apply, follow this link: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvacatures.uva.nl%2FUvA%2Fjob%2F2-PhD-positions-on-causal-machine-learning-and-reinforcement-learning-for-FinTech%2F785937402%2F&data=05%7C02%7Cuai%40engr.orst.edu%7C9d4f41611a4b45a0644908dc1e9ce241%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638418906359949693%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B2HSQcEM1tbwywcZPE1AqwAJQwqe8dNdHLmxze8Xiew%3D&reserved=0
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