----- Original Message -----From: Rong QuSent: 11/20/12 06:41 AMTo: computing-society@list.informs.org, watt@cs.nott.ac.uk, asap@cs.nott.ac.uk, EVOLUTIONARY-COMPUTING@JISCMAIL.AC.UK, MODERN-HEURISTICS@JISCMAIL.AC.UK, META-HEURISTICS@jiscmail.AC.UKSubject: [watt] KTP Associate at University of Nottingham UKKTP Associate: Software Developer for Workforce Scheduling University of Nottingham, UK. Ref SCI/1202 This Knowledge Transfer Partnership (KTP) project will focus on improving homecare workforce utilisation by developing an adaptable software optimisation engine to tackle workforce management scenarios that include both rostering and routing. A software developer is required to join our team to develop web-based optimisation software for Webroster Ltd. This is an exciting opportunity for a graduate in computer science or related discipline to work in a dynamic commercial environment, with the benefit of access to academic research, supervision, support and advice. A comprehensive and tailored training and development package will enable the person appointed to meet the professional demands of the project and their personal aspirations. This partnership is between Webroster Ltd and the School of Computer Science at the University of Nottingham. The Webroster Group (www.webroster.co.uk) is a forward thinking, dynamic and progressive company. Their market leading software solutions are designed to enhance business through the use of the Internet and as such, take advantage of the latest technologies in order to make their business more efficient and profitable. Based in Peterborough and with customers all over the UK, the Webroster Group enjoys pushing technological boundaries to stay one step ahead. The School of Computer Science at The University of Nottingham is renowned for its international leading research and excellent undergraduate and postgraduate teaching. The Automated Scheduling Optimisation and Planning (ASAP) research group (see http://www.asap.cs.nott.ac.uk) has extensive expertise in the development of decision support technology for solving real-world optimisation problems including workforce scheduling and transport logistics. The ASAP group has extensive experience on knowledge transfer of models and computational algorithms to automatically produce high quality and cost effective solutions to such problems. Candidates to this post should have: . A good BSc degree in computer science or closely related discipline. Graduates from different disciplines with a Masters degree in computer science or similar are also welcome to apply. . Knowledge and experience with programming tools such as C#, Visual Basic, Java, JavaScript, ASP.NET or similar. Experience with relational database design and SQL is also required. . Experience of full development lifecycle from specifications through to testing. Flexible problem solving skills to develop creative solutions to changes in a dynamic business. . Knowledge of operations research, combinatorial optimisation, artificial intelligence and heuristic search techniques is very desirable but not essential. . Excellent communication skills to deal with a variety of people at different levels. The successful candidate will: . Design and implement various software modules working in collaboration with other developers at the company while also interacting with the academic team at the University of Nottingham. . Develop automated search and optimisation software components for the company's healthcare workforce management system using mainly Microsoft ASP.NET 4 and SQLServer 2008 R2 web-based application environment. Develop using open source components (Ruby, JQuery etc.), tools (subversion) and deploy under Linux. . Interact with users of the system primarily via telephone but also occasionally travelling to customer sites. . Manage this KTP project under the guidance of the company and academic supervisors while ensuring effective liaison with all the project stakeholders. Salary will be within the range £22,000 - £24,000 per annum, depending on qualifications and experience. An excellent individual training package is also available. This post will be offered on a fixed-term contract for a period of two years. Knowledge Transfer Partnerships is a government funded technology transfer initiative that supports partnerships between business and universities, placing graduates on challenging, high profile projects. Further information is available at: http://www.ktponline.org.uk. Informal enquiries may be addressed to Dr Rong Qu (rong.qu@nottingham.ac.uk) and/or Dr Dario Landa-Silva (dario.landasilva@nottingham.ac.uk), School of Computer Science, The University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB. Please note that applications sent directly to the above Email addresses will not be accepted. To apply on-line please access: http://jobs.nottingham.ac.uk/ Please quote ref. SCI/1202. Closing date: 13 December 2012. _______________________________________________ watt mailing list watt@cs.nott.ac.uk http://lists.cs.nott.ac.uk/mailman/listinfo/watt
jueves, 22 de noviembre de 2012
Universidad de Nottingham busca desarrollador: Computer Science
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