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PhD Scholarship in Neurocomputing and Brain-like Machine Learning

Applications are invited for a PhD position in computer science to join KTH Royal Institute of Technology, Sweden. The funds for this position are available for two years. Applications should be sent before December 19, 2018.

KTH 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.

The project is funded by Swedish e-Science Research Centre (SeRC, https://e-science.se/) as part of a highly interdisciplinary collaborative initiative called Brain-Information technology (Brain-IT). The main emphasis in the project is on hierarchical brain-like network architectures for holistic pattern discovery drawing from the computational insights into neural information processing in the brain in the context of multi-modal perception, sensory fusion, sequence learning and memory association among others. Within the project’s scope it is intended to build scalable implementations and systematically study computational capabilities of the brain-like algorithms, typically in comparison with more classical machine learning approaches. The project will also offer an opportunity to gear the proposed neurocomputing methods to specific real-world applications available within the SeRC community.

The applicant is expected to have background in physics and/or computer science with good understanding of machine learning problems and keen interest in brain science (computational brain/neuroscience). It is required that the applicant is a competent programmer and previous experience with deploying implementations on supercomputers constitutes a valuable asset.

The position is based in the Computational Brain Science unit (https://www.kth.se/cst/research/computational-brain-science-1.779076), School of Electrical Engineering and Computer Science at KTH. Given a wide network of local collaborators in the realm of brain science and neurocomputing outside KTH, the student will strongly interact with researchers at Stockholm University (psychology) and Karolinska Institutet (neuroscience). The appointed student will also become a member of a vibrant interdisciplinary community at SeRC (https://e-science.se/).

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work.

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Apply for the position and admission through KTH’s recruitment system. It is the applicant's responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).


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