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PhD Scholarship in Computational Neuroscience at KTH Royal Institute of Technology

KTH Royal Institute of Technology, Sweden is inviting excellent students to apply for a PhD position in mathematics. The funds for this position are available for two years. The deadline for applying is January 15, 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.

Project description: Both neurons and synapses in the brain are highly diverse. Fucntional signficance of this diversity is not understood. In this project the doctoral student will investigate the role of neuronal and synaptic heterogeneties on the robustness of neuronal networks in the brain using compoutational models and analysis of network activity dynamics. Supervision: The doctoral student will be based at the KTH Royal Institute of Technology and jointly supervised by Dr. Arvind Kumar (KTH) and Dr. Jens Hjerling-Leffler (Karolinska Institute). Research environment: The doctoral student will become a part of the interdiciplinary research environments at the KTH and Karolinska Institute. Dr. Kumar’s research group uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. The research in the Kumar lab is aimed at understading (1) the role of oscillations and correlations in communication between different brain areas [Hahn et al. Nature Rev. Neurosci. 2019] (2) control of brain activity dynamics [Vlachos et al. PloS Comp Bio 2016] (3) interaction between neuron properties and network activity dynamics [Sahasranamam et al. Sci. Reports 2015, Spreizer et al. 2018 BioArXIv]. His group is also developing mathematical models of brain diseases to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in brain diseases. More info.: https://www.kth.se/profile/arvindku/ Dr. Jens Hjerling-Leffler’s ERC-funded research group is at the forefront of characterising the neuronal diversity in the brain and how this is relevant to disease. In recent years his research group has developed several advances in experimental methods and have revealed neuronal diversity across the brain at unprecedented detail [Zeisel et al., Science, 2015; Skene et al., Nature Genetics 2018]. More info.: http://www.hjerling-leffler-lab.org/

We are looking for a student with an MSc. (or equivalent) degree in Physics or Engineering and a strong background in analysis and modeling of physical/biological systems. Previous knowledge of neuroscience is useful but not necessary. Students who expect to graduate by Summer 2019 can also apply.

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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