Research Fellow in Genetic Algorithms for Fractal Evolution Ref 3114
School/department: School of Engineering and Informatics, Department of Engineering and Design
Hours:part time or full time hours considered up to a maximum of 1.0 FTE. Requests for flexible working options will be considered(subject to business need).
Contract: fixed term for 2 years
Salary: starting at £33,797 and rising to £40,322 per annum
Placed on: 17 January 2020
Closing date: 20 February 2020. Applications must be received by midnight of the closing date.
Expected interview date: TBC
Expected start date: 1 April 2020 (TBC)
The School of Engineering and Informatics is seeking a Postdoctoral Research Fellow in the field of genetic algorithms to control iterative function systems to produce structures of biological and engineering interest. The successful candidate will join the Industrial Informatics and Signal Processing group.
The Leverhulme Trust funded project will research and develop algorithms for the application of genetic algorithms to the evolution of iterated function systems in order to generate fractal structures of biological importance with possible application to the synthesis of engineering structures and devices.
Thus the candidate should have some interest in the following topics:
- Genetic and evolutionary algorithms
- Fractal structures present in plant and animal systems
- Evolutionary developmental biology and the control of phenotype through the developmental process
Candidates should normally hold a PhD in a numerate subject such as, for example: Computational Biology, Biophysics, Bioengineering, Physics, Computer Science or other appropriate subject. Candidates must have good programming skills in a simulation language such as Matlab with additional skills in programming languages such as C++/Python being helpful.
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