<div dir="ltr"><span id="gmail-docs-internal-guid-6aa4d549-7fff-ebe6-0dfc-6a92869b724e"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">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?</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal" id="gmail-docs-internal-guid-4fcb5414-7fff-17b4-a5bc-80d9c5243a0a"><br></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">The AMLab group (</span><a href="https://amlab.science.uva.nl/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://amlab.science.uva.nl/</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) at the University of Amsterdam (</span><a href="http://www.uva.nl/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">www.uva.nl</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) 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 (</span><a href="https://www.adyen.com" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://www.adyen.com</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">).</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">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 (</span><a href="https://saramagliacane.github.io/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://saramagliacane.github.io/</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">).</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">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 (</span><a href="https://staff.fnwi.uva.nl/h.c.vanhoof/homepage/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://staff.fnwi.uva.nl/h.c.vanhoof/homepage/</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">).</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Both positions will be evaluated in a joint application process.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Deadline: 11 March 2024</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">For more information and to apply, follow this link: </span><a href="https://vacatures.uva.nl/UvA/job/2-PhD-positions-on-causal-machine-learning-and-reinforcement-learning-for-FinTech/785937402/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://vacatures.uva.nl/UvA/job/2-PhD-positions-on-causal-machine-learning-and-reinforcement-learning-for-FinTech/785937402/</span></a></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br class="gmail-Apple-interchange-newline"></p></span></div>