08 Mar Phd – Interaction Between Neocortex and Hippocampus
Jobs Description
Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum in Germany, invites applicants for the position of Doctoral Fellow in Computational Neuroscience.
The work will focus on studying the interaction between neocortex and hippocampus using spiking neural network models. The position is part of the project “Theory of the interplay between sensory cortices and hippocampus in memory formation and retrieval“, which is funded by the German Research Foundation as part of the collaborative research center SFB 874.
The Ruhr University Bochum is home to a vibrant research community in neuroscience and cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscience to machine learning and robotics. For further information see www.rub.de/cns.
How to Apply
Please send a statement of your motivation and research interests, academic transcripts, and a complete CV to samarasinghe@ini.rub.de in a single PDF file. Please, also request from at least two academic referees that they send letters of reference directly to the same email address. The deadline for applications is 31.03.2019.
Requirements
- Candidates should have an excellent university degree in neuroscience, physics, mathematics, engineering or a related field and be eligible to enroll in a relevant PhD program at the Ruhr University.
- Competence in mathematical modeling and excellent programming skills are mandatory.
- Familiarity with computational neuroscience or computational cognitive modeling would be a further asset.
Ruhr University Bochum is committed to equal opportunity in employment and gender equality in its working environment. To increase gender distribution in all job categories and at all levels, we strongly encourage applications from qualified women. Female applicants will be given preferential consideration when their level of qualification, competence and professional achievements equals that of male candidates, unless arguments based on the personal background of a male co-applicant prevail. Applications from appropriately qualified handicapped persons are also encouraged.
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