Evolutionary Computation at University of Birmingham Research Fellowship

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Research Fellowship in Evolutionary Computation at the School of Computer Science in University of Birmingham, To create and contribute to the creation of knowledge by undertaking a range of activities within and related to EPSRC-funded project on “Evolutionary Computation for Dynamic Optimisation in Network Environments. 

The responsibilities may include some but not all of the responsibilities outlined below. To develop a detailed research plan that implements the EPSRC project, with assistance of the principal investigator if required

-To carry out high-quality research, both theoretical and computational, within the EPSRC project on “Evolutionary Computation for Dynamic Optimisation in Network Environments”
-To contribute to writing further bids for research funding
-To analyse and interpret data from the computational studies
-To apply knowledge in a way which develops new intellectual understanding
-To write and disseminate research findings for publication in leading international journals and conference, research seminars etc .

What it Covers: Starting salary is normally in the range £27,578 to £35,938, with potential progression once in post to £38,140 a year.

Study Subject(s):Evolutionary Computation
Course Level:Research
Scholarship Provider: EPSRC
Scholarship can be taken at: UK
How to Apply: Online
Application Deadline: 8 Oct 2012
Scholarship Information: http://www.download.bham.ac.uk

Eligibility:
• PhD in Computer Science/Engineering with expertise in evolutionary computation
• Outstanding ability in both theoretical analysis and computational studies, related to evolutionary computation
• Excellent Ability to communicate, both orally and in writing, complex information clearly
• Fluency in relevant models, techniques or methods and outstanding ability to contribute to developing new ones
• Excellent Ability to assess resource requirements and use resources effectively
• Outstanding research achievements, evidenced by publications, PhD thesis or other reviewed/examined materials.