At the Department of Computer Science of the Vrije Universiteit Amsterdam we have a PhD student position available in the area of Machine Learning. The application deadline is July 2nd. Please find a brief description of the positions below, including a link to a more detailed vacancy description.
PhD Student in Machine Learning We are looking for a new PhD student who will do research in the area of machine learning (ML) and in particular on supervised learning and reinforcement learning (RL) and the application of these techniques in a large mental health project (RECONNECTED). The EU funded RECONNECTED project focuses on the development of innovative interventions for mental health for vulnerable citizens in the EU that are driven by machine learning. The position is embedded in the Quantitative Data Analytics (QDA) group of the VU in close collaboration with the Centre for Urban Mental Health at the University of Amsterdam. The QDA group focuses on both fundamental and application-driven research in ML while the center of Urban Mental Health has a wealth of experience in applying complexity science to mental health and intervention development. We are looking for candidates with experience in the area of machine learning, with a special preference for those having expertise in one or more of the following areas: reinforcement learning, the utilization of domain knowledge in ML, and data efficient ML methods. We are interested in attracting a PhD student that is able to perform ground-breaking research in fundamental aspects of machine learning and reinforcement learning with a willingness to contribute to data collection efforts among human subjects (resulting in data that can be used to train machine learning models). The final goal within the project is to apply the developed algorithms in an app and use them to identify personalized targets for micro-interventions targeting psychological resilience. For more details, see: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fworkingat.vu.nl%2Fad%2Fphd-student-in-machine-learning-r-011630%2Fnburrs&data=05%7C01%7Cuai%40engr.orst.edu%7C4fc134e332cf4f5732b308db72290b92%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638229292845693445%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=%2FaHcRAckBwIm4kkDAFGZ4HQtYBzaFv7MaB%2B6KZQuNKc%3D&reserved=0<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fworkingat.vu.nl%2Fad%2Fphd-student-in-machine-learning%2Fpfrlm0&data=05%7C01%7Cuai%40engr.orst.edu%7C4fc134e332cf4f5732b308db72290b92%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638229292845693445%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=3kCucLxoIvvYOc7w0mv43t4kJv8%2BrBTrlsfjRvubx%2BA%3D&reserved=0> Best regards, Mark ----- Mark Hoogendoorn Full Professor of Artificial Intelligence Chair Quantitative Data Analytics Group Vrije Universiteit Amsterdam Faculty of Science, Department of Computer Science T +31 20 59 87772 | M +31 6 539 22626 E m.hoogendo...@vu.nl<mailto:m.hoogendo...@vu.nl> | URL https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.cs.vu.nl%2F~mhoogen%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4fc134e332cf4f5732b308db72290b92%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638229292845693445%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qWnx2EU%2FRP7zayJkw3Q4o8PxM5WzOwbzWgiGOygsrck%3D&reserved=0<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.cs.vu.nl%2F~mhoogen%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C4fc134e332cf4f5732b308db72290b92%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638229292845693445%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qWnx2EU%2FRP7zayJkw3Q4o8PxM5WzOwbzWgiGOygsrck%3D&reserved=0> MAILING ADDRESS: De Boelelaan 1111, 1081 HV Amsterdam VISITING ADDRESS: NU-10A87
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