We are looking for a Postdoc in Machine Learning who will conduct research focussed on the modelling, prediction and planning of motions with applications to assistive technologies and robotics.
This position is part of a WASP-HS Networking Excellence Project (Netx) involving Umeå University, Uppsala University and KTH. The focus of the project is in particular to study how AI technologies can be applied for the purpose of preventative physiotherapy, e.g. for fall prevention. The role of the Postdoc in particular focusses on the development of novel Machine Learning-based methodologies and potential physical intervention/adaptation strategies that could be implemented by the project consortium – for example using a robot or other feedback mechanism that will be considered within the project. As part of the employment, the Postdoc will work in the research group of Associate Prof. Florian Pokorny and will also have an opportunity to collaborate closely with researchers within the NetX project as well as current doctoral students in Associate Prof. Florian Pokorny’s research group who are currently engaged in a variety of research areas in the field of Machine Learning and Robotics. Typical publication venues for the research conducted within this project are expected to include NeurIPS, ICML, AI Stats, IEEE/RSJ IROS, IEEE ICRA or other leading international conferences and journals.
NetX is a network initiative by the Wallenberg AI, Autonomous Systems and Software Program on Humanities and Society (WASP-HS) that aims to advance groundbreaking scientific cooperation between researchers at different universities and between researchers and external partners, with the goal of realizing excellent research and develop competence on the consequences and challenges of artificial intelligence and autonomous systems for humanity and society.