Postdoctoral Position in physicsLogin and applySchool of Engineering Sciences at KTHJob descriptionThe position is part of a collaborative project with the Division of Wood Science and Engineering at Luleå university of technology, whose overall goal is to develop theory and algorithms for image-guided optimisation of the sawline. Specific tasks is to develop and implement physics aware deep neural networks for tomographic 3D image reconstruction with partially unknown acquisition geometry. Prototypes will be implemented as components in ODL (http://github.com/odlgroup/odl) that offers a seamless coupling between frameworks for tomography (ASTRA) and deep learning (PyTorch). Link with further information: https://www.kth.se/profile/ozan/page/post-doctoral-fellowship-deep-learning-based-3d-ct-reconstruction-in-forestry What we offer
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Great emphasis will be placed on personal competency. Trade union representativesYou will find contact information to trade union representatives at KTH's webbpage. ApplicationLog into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. The application must include:
Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time). About the employmentThe position offered is for, at the most, two years. A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation. OthersStriving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values. For information about processing of personal data in the recruitment process please read here. We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.
About KTHKTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here
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