Tuesday, July 28, 2015

[DMANET] Postdoc position on Theory of Evolutionary Computation and Population Genetics

The Department of Computer Science at the University of Sheffield is
offering a Postdoc position on Theory of Evolutionary Computation and
Population Genetics

A Research Assistant or Research Fellow position is available to work on
analysing the efficiency of evolutionary processes in evolutionary
algorithms and models of natural evolution. The position is part of SAGE
(Speed of Adaptation in Population Genetics and Evolutionary Algorithms,
http://www.project-sage.eu/), an interdisciplinary European project in
the Future and Emerging Technologies scheme. This is a fixed term post,
starting Sep 1st 2015 (negotiable) and ending on Dec 31st 2016. It is
based in the Department of Computer Science, University of Sheffield,
and reports to Dr Dirk Sudholt.

SAGE is a joint effort between four European research
institutions--University of Nottingham, University of Sheffield, Hasso
Plattner Institute Potsdam, and IST Austria--to develop world-leading
research at the interface between Population Genetics and Computer
Science. Specifically, SAGE aims at bringing together these two research
fields to develop a unified quantitative theory that describes how
quickly populations adapt to evolve high-fitness individuals in both
natural and artificial evolution. Our goal is to reveal how this
efficiency is fundamentally determined by evolutionary and environmental
parameters, and how these parameters can be tuned to use evolution most
effectively in applications ranging from evolutionary algorithms to
experimental evolution and synthetic biology. The successful candidate
will join a growing team of young and ambitious researchers that has
already made excellent progress towards achieving these goals.

Applications are invited from highly skilled researchers in Computer
Science, Mathematics, Physics, Theoretical Biology or related areas (at
the interface between computer science and biology). A good
understanding of evolutionary computation and/or population genetics
will be an advantage. In addition, strong mathematical and analytical
skills are essential. The applicants must have (or be very close to
completing) a PhD in Computer Science, Biology, Mathematics, Physics or
related disciplines.

The post is available at Grade 7 (Research Associate, £29,552-£37,394
per annum) or Grade 8 (Research Fellow, £38,511-£40,847 per annum),
depending on experience.

Further details and an online application form are available from
Applicants need to apply through the above online system before August
26, 2015.

Please send informal enquiries to Dirk Sudholt, d.sudholt@sheffield.ac.uk.

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