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Research Fellow in Theory of Co-Evolutionary Computation  - Computational Engineering, Computational Sciences

School/Institution:University of Birmingham, United Kingdom, Birmingham

Discipline: Computational Engineering, Computational Sciences

Employment Type:Full-time

Posted:2021-10-09

Contact Person:If you wish to apply for this position, please specify that you saw it on AKATECH.tech

JOB DESCRIPTION

School of Computer Science in the College of Engineering and Physical Sciences

University of Birmingham, Edgbaston, Birmingham, UK

Full time starting salary is normally in the range £31,406 to £40,927. With potential progression once in post to £43,434 a year.

Grade: 7

Applications are invited for a 3-year Research Fellowship in the theory of co-evolutionary computation. Co-evolutionary algorithms are heuristic optimisation techniques, mimicking biological principles of natural selection, e.g. for minimax/robust optimisation and learning game playing strategies. Such algorithms have been successfully applied to various industrial optimisation domains. However, the theoretical understanding of these methods has been limited.

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. The fellowship is funded by the UKRI Turing AI Acceleration Fellowship project “Rigorous Time-Complexity Analysis of co-Evolutionary Algorithms”, providing generous travel allowance, computing facilities etc.

Qualifications and Experience:

Hold (or be close to obtaining) a PhD in a relevant subject, ideally on the 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 leading journals and conferences

Main Duties and Responsibilities:

  • Conduct original research according to agreed project aims.
  • Disseminate research findings through publications, seminars/presentations etc.
  • Assist in coordination and management of the above-mentioned project.
  • Work within specified research grants and projects and contribute to writing bids.

Skills and Knowledge:

  • 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.

For further information please contact Dr. Per Kristian Lehre, p.k.lehre@cs.bham.ac.uk

People are at the heart of what we are and do. We want to attract outstanding, inspirational, and talented people, support them to succeed, and celebrate their success. Working at the University of Birmingham gives you access to the best financial and physical resources, a beautiful campus and an intellectually stimulating and diverse community. Our sector leading development programmes have made this a place where staff can thrive and recognition by Athena Swan, Stonewall, and the Race Equality Charter demonstrates our commitment to supporting talented people from all backgrounds.

Working at the University of Birmingham brings many benefits, from generous holiday leave, to reward and recognition. The University offers a range of benefits to help you achieve a better balance between your family and work responsibilities.  We provide discounts on childcare and have two day nurseries and a holiday club on or near campus.  In addition, you can benefit from a number of retail offers and discounts and you will have the opportunity to join private medical and dental schemes such as the National Dental Plan. For more information about staff benefits, please visit: http://www.birmingham.ac.uk/staff/employeebenefits/index.aspx

Our beautiful campus is one of our greatest assets. We are like a city within a city with all our buildings and amenities on a single site.  Our striking architecture and 250-acres of parkland will inspire you to make the most of your time here and not only that but it has all the amenities of a small town. You will find bars, shops, a hair salon, opticians, travel agents, a concert hall, fine art gallery, geology museum and major banks on campus. You will also be able to take advantage of the fruit stall and regular Farmer’s Markets that take place here.

In addition you will have access to all of the University's facilities such as the sports centre, library, outstanding nurseries, research facilities, faith support, wellbeing services, staff clubs and networks.

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 https://www.birmingham.ac.uk/staff/jobs/index.aspx Please quote Job Ref 97103 in all enquiries.

Valuing excellence, sustaining investment

We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working

JOB DETAILS

Title: Research Fellow in Theory of Co-Evolutionary Computation – 97103

Employer: University of Birmingham

Job location: Edgbaston, B15 2TT Birmingham

Job types: Researcher

Fields: Algorithms,   Programming Languages,   Theory of Computation,   Game Theory,   Probability Theory,   Computational Sciences,   Computational Mathematics,   Stochastics

Contact Person: If you wish to apply for this position, please specify that you saw it on AKATECH.tech

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