De Montfort University - School of Computer Science and Informatics
|Salary:||£32,958 to £36,001 Grade F p.a.|
|Contract Type:||Contract / Temporary|
|Placed on:||1st December 2016|
|Closes:||2nd January 2017|
Full Time, Fixed Term Contract until 17 August 2017
Applications are invited for a position of a Post-Doctoral Research Associate in the Centre of Computational Intelligence (CCI), De Montfort University, expected to start shortly. The CCI is based in the School of Computer Science and Informatics in the Faculty of Technology. The CCI has 14 academic staff and over 30 PhD students, close links with industry and a range of excellent dedicated teaching and research facilities.
You will work with Prof. Shengxiang Yang on a research project funded by EPSRC, entitled "Evolutionary Computation for Dynamic Optimisation in Network Environments". This is a collaborative project between De Montfort University, University of Birmingham, Railway Safety and Standard Board (RSSB), and Network Rail. The research at De Montfort University will focus on design and evaluation of evolutionary computation (EC) approaches for dynamic optimisation problems in network environments in general and in railway networks in particular (e.g., dynamic timetabling and scheduling problems in railway networks). You will be required to model dynamic network optimisation problems, design algorithms to solve them, develop prototype software, run experiments, statistically analyse the data, and write up technical reports and papers.
The candidate is expected to have a PhD in Computer Science/Engineering with expertise in evolutionary computation, or equivalent in professional qualifications and experience. PhDs who are near completion will be considered whose achievement or potential may be assessed by their publications and/or draft theses. S/he must have excellent research achievements evidenced by publications in leading journals and conferences. Excellent computational and programming skills are essential. You must also have experience conducting experimental research at a postgraduate level, including experimental design, results presentation and statistical analysis. Also essential are communication (both oral and written) skills, people skills, ability to work independently as well as a team member, and ability to take initiatives and be proactive. The successful candidate will be rewarded with an outstanding research environment that will support his/her research career.
For informal enquiries, please contact Prof. Shengxiang Yang, email@example.com.
Interview Date: week commencing 16 January 2017
Share this job
Type / Role:
Midlands of England