Imperial College London is a science-based institution with the greatest concentration of high-impact research of any major UK university. The Department of Bioengineering at Imperial College London is leading the bioengineering agenda both nationally and internationally, advancing the frontiers of our knowledge in the discipline’s three main areas: 1. Biomedical Engineering: Developing devices, techniques and interventions for human health....
Job listing information
- Reference ENG00777
- Date posted 22 March 2019
- Closing date 22 April 2019
Imperial College London is a science-based institution with the greatest concentration of high-impact research of any major UK university. The Department of Bioengineering at Imperial College London is leading the bioengineering agenda both nationally and internationally, advancing the frontiers of our knowledge in the discipline’s three main areas:
1. Biomedical Engineering: Developing devices, techniques and interventions for human health.
2. Biological Engineering: Solving problems related to the life sciences and their applications for health.
3. Biomimetics: Using the structures and functions of living organisms as models for the design and engineering of materials and machines.
Environment: The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/
Research topic: Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The Postdoc candidate will be designing plastic artificial neural networks which are modelling the hippocampal complex.
Duties and responsibilities
Requirements: The Computational Neuroscience Laboratory, headed by Dr. Clopath, is looking for a talented Postdoc, working in the field of computational neuroscience. The perfect candidate has a strong mathematical, physical or engineering background, and has done a PhD in the field of computational neuroscience. The ideal candidate has expertise in network dynamics, mean-field theory, recurrent neural network simulations and dynamical systems for neuroscience. It is a plus if the candidate has worked on balanced network, feature specificity, plasticity, inhibition-dominated neural network, modelling visual cortex.
You must have a good undergraduate degree/ MSc in physics, mathematics, engineering (or equivalent) and a PhD in computational neuroscience (or equivalent). You will have previous experience in computational neuroscience.
You will have :
- Knowledge in programming
- Knowledge of research methods and statistical procedures
- Practical experience within a research environment and / or publication in relevant and refereed journals
- the ability to conduct a detailed review of recent literature
- the ability to develop and apply new concepts
- a creative approach to problem-solving
- excellent written communication skills and the ability to write clearly and succinctly for publication
- the ability to direct the work of a small research team and motivate others to produce a high standard of work
- the ability to organise own work with minimal supervision
- the ability to prioritise own work in response to deadlines
- advanced computer skills, including word-processing, spreadsheets and the Internet
- a flexible attitude towards work
- discipline and regard for confidentiality and security at all times
You will be:
- willing to work as part of a team and to be open-minded and cooperative
- willing to undertake any necessary training for the role
- willing to travel both within the United Kingdom and abroad to conduct research and attend conferences
Our preferred method of application is online via our website. Please click ‘apply’ below or go to https://www.imperial.ac.uk/job-applicants/ (Select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number EN00XXX. Further information is also available on the job description.
Any queries regarding the application process should be directed to Jo Adam, email@example.com.
Closing Date 4 weeks from the date of posting ( 22/04/2019)
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