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Research Fellow in Theory of Co-Evolutionary Computation

University of Birmingham - School of Computer Science

Location: Birmingham
Salary: £30,942 to £40,322 with potential progression once in post to £42,792. Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th April 2021
Closes: 20th May 2021
Job Ref: 97103

College of Engineering and Physical Sciences 

Salary: Full time starting salary is normally in the range £30,942 to £40,322 with potential progression once in post to £42,792

Band/Grade: Grade 7

Duration: Fixed-term for up to 3 years

Closing Date: 20 May 2021

We welcome applications for a research fellowship in the theory of evolutionary computation to work with Dr Per Kristian Lehre on the UKRI Turing AI Fellowship funded project “Rigorous Time-Complexity Analysis of co-Evolutionary Algorithms”. Co-evolutionary algorithms are heuristic optimisation techniques, mimicking biological principles of natural selection. The successful candidate will contribute, together with other project team members and international academic and industrial partners, towards developing the theoretical foundation necessary for the design of efficient and reliable co-evolutionary algorithms.

Main Duties/Responsibilities

The responsibilities may include some but not all of the responsibilities outlined below.

  • Conduct original research according to agreed project aims.
  • Analyse and interpret data
  • Apply knowledge in a way which develops new intellectual understanding
  • Disseminate research findings through research publications at premier conferences, journals, and other venues.
  • Contribute to writing research/grant proposals.
  • Promotes equality and values diversity acting as a role model and fostering an inclusive working culture.

Person Specification

  • Hold (or be close to obtaining) a PhD in a relevant subject, ideally on theory of evolutionary computation, algorithmic game theory, algorithms and computational complexity, stochastic processes/probability theory, or discrete mathematics.
  • Significant contributions made to world-class research in one or more of the above topics, experience in writing peer-reviewed papers for high quality journals and conferences
  • High level analytical and computational skills.
  • Proficiency in (or desire to learn) mathematical techniques relevant for the analysis of evolutionary algorithms and other randomised algorithms.
  • Ability to communicate complex information clearly in written and spoken form.
  • Desirable/optional: (a) Programming skills, (b) Experience in collaborating with national and international academic and industrial partners;
  • Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly

Informal enquiries can be made to Dr Per Kristian Lehre;

To download the full job description and details of this position and submit an electronic application online please click on the Apply Online button below or visit our careers website;, please quote Job Ref 97103 in all enquiries.

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