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PhD Scholarship in Computional Neuroscience at KTH Royal Institute of Technology

Applicants are invited to apply for a PhD position in artificial intelligence at KTH Royal Institute of Technology, Sweden. The funds for this position are available for two years. Applications are welcome before January 13, 2019.

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 the Swedish Research Council (Vetenskapsrdet, VR) and is concerned with computational modelling of cortical memory. A successful candidate is expected to build on the previous work in the group with focus on large-scale spiking neural network models of working memory and pursue research questions related to synaptic plasticity, mechanism of short-term memory maintenance, dynamical interactions with multimodal long-term storage etc. Within the project’s scope it is intended to constrain the network model with experimental data, mainly electrophysiological recordings and/or macroscopic neuroimaging data. Thus, the student will also interact with collaborating experimental neuroscientists and be involved in data analysis efforts.

The applicant is expected to have background in physics and/or computer science and keen interest in neuroscience, neuroinformatics or a related interdisciplinary field with neurobiological aspects. Previous experience in computational modelling/simulations of physical systems is desirable and competence in time series analysis, signal processing and computational neuroscience 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. Our research environment is conducive to synergistic approaches to a wide range of brain research problems with contributions to, e.g., neurorobotics, computational vision, computational brain theory, cognitive science, neuromorphic computing, artificial intelligence and data science. In addition, given a wide network of local collaborators outside KTH, the student will have ample opportunities to interact with researchers at Stockholm University (psychology) and Karolinska Institutet (cognitive neuroscience/neuroimaging).

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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