Postdoc in Machine Learning
Postdoc in Machine Learning
KTH - Royal Institute of Technology - School of Electrical Engineering and Computer Science
Stockholm, Sweden
Job description
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.
More information about NetX:
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.
Qualifications
Requirements
- A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
- You exhibit research expertise, collaborative abilities and independence.
- You are aware of diversity and equal opportunity issues, with specific focus on gender equality. For the position, it is required that you have good oral and written communication skills in English in your daily work.
Preferred qualifications
- A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline and within the subject areas of Computer Science, Robotics, Machine Learning, Mathematics or similar.
- Track record in publications at leading international peer reviewed conferences. Examples include: NeurIPS, ICML, AI Stats, AAAI, IEEE ICRA, IEEE/RSJ IROS.
- Great emphasis will be placed on personal skills.
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