Cercia Research Fellow job vacancy

IMPORTANT NOTE: This post has now been filled, the job advert remains for archive purposes

Further Particulars

Post title Research Fellow - Evolutionary Optimisation (Algorithms)
Reference number S43032
School/department School of Computer Science
Closing date for receipt of applications 21/7/2006
Hours Full time
Salary range Starting salary £23,457 - £28,009 a year;
potential progression to £32,490 a year
Post duration 36 Months
Number of vacancies available 1
Personnel contact(s) Ms. Jo Gerald
email: j.a.gerald@bham.ac.uk
tel.: 0121 415 9000
Informal enquiries to Prof. X Yao
email: x.yao@cs.bham.ac.uk

Details

Job Summary

Carry out algorithm research in the EPSRC project on "Software Engineering By Automated SEarch (SEBASE)" and publish research papers in high impact journals and conferences.

Main Duties

1. Carry out research in the EPSRC project on "Software Engineering By Automated SEarch (SEBASE)" in developing novel evolutionary and other meta-heuristic algorithms, especially EDAs and hybrid algorithms, for software engineering problems. (80%)

Duties include, but are not limited to:

  • To plan and develop research contributions to subject area using methodologies, critical evaluations, interpretations, analyses and other appropriate techniques
  • To publish research papers in high impact international journals, magazines and conferences.
  • To complete assigned tasks within agreed work schedule to ensure that outcomes are delivered on time.
  • To suggest and contribute to the development of research techniques, models and methods in collaboration with colleagues used by the project, Cercia, the Natural Computation Group and the School.
  • To organise project meetings and research/industrial workshops.
  • To help prepare and write new grant proposals that are related to SEBASE but are not covered by the SEBASE project.
  • To disseminate research findings using appropriate and effective media such as publication, research seminars etc
  • To provide guidance to other staff and students on own specialist area
  • To prepare papers for Steering groups and other bodies
  • To analyse and interpret the results of own research and generate ideas based on outcomes

2. Assist with PhD student project supervision. (10%)

3. Assist with teaching activities, e.g., lecturing, tutoring and MSc/BSc project supervision. (10%)

Decision Making/Problem Solving

(i) without reference to others

  • Conducting research in accordance with the specified research project.
  • Writing papers for conferences, magazines and journals.
  • Assisting PhD student supervision.

(ii) after consulting others

  • Assisting with teaching activities.
  • Submitting papers to journals, magazines and conferences.
  • Attending conferences or workshops.

(iii) or that would be referred to someone else.

  • Recruitment.
  • Financial matters.

Knowledge, Skills, Qualifications and Experience Required

ESSENTIAL

  • First degree in evolutionary optimisation and hold or be working towards the achievement of a PhD in evolutionary optimisation or a closely related area, research experience in EDAs is preferred
  • Excellent academic achievement evidenced by high-quality publications or/and PhD thesis in evolutionary optimisation or a closely related area, especially in EDAs and hybrid algorithms
  • Understanding and experience of research methods and processes in evolutionary optimisation and its applications
  • Excellent analytical and computational skills in evolutionary optimisation and meta-heuristic optimisation
  • Excellent problem-solving, programming and software development skills
  • Self-motivated and proactive
  • Ability to work effectively and efficiently as a team member as well as independently
  • Excellent written and oral communication skills and inter-personal skills
  • Ability to work under pressure and meet deadlines
  • Good knowledge of software engineering and keen on solving software engineering problems

DESIRABLE

  • Interest in working with industry
  • Ability to assist with PhD student supervision
  • Ability to supervise MSc/BSc student projects and teach effectively

Communication Skills

Contact / Purpose/Skills Required

Research Project Staff / Cooperation on research and research-related matter.

Staff within Computer Science and other Schools / Collaboration on research and meeting organisations.

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