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Position: Research Fellow - Evolutionary Computing and Optimisation
Institution: University of the West of England
Department: Faculty of Business & Law
Location: Bristol, South West England, United Kingdom
Duties: We have a current vacancy for a Research Fellow who will contribute towards the maintenance and enhancement of the University’s reputation for research, knowledge exchange, teaching and scholarship through their contribution to the collective endeavours and through their own research, external engagement, and teaching. The ideal candidate for this position will be responsible for conducting independent academic and industrial research within the context of Evolutionary Computing and Optimisation for a number of research projects. The candidate is expected to work with various research teams in parallel to design and implement optimisation systems for varied applications for construction, engineering and facilities management
Requirements: A PhD or approaching PhD completion in Evolutionary Computation, Optimisation, Soft Computing, Computer Science, or related disciplines from a leading university. Knowledge and hands-on experience of design, development and deployment real-life applications in evolutionary computing and optimisation. In-depth knowledge of deterministic and stochastic optimisation techniques and evolutionary computing (e.g. Ant Colony Optimisation, Bee colony optimisation, Genetic Algorithm, & Swarm intelligence), Hybrid systems (e.g. Adaptive Neuro-Fuzzy Inference System). Very strong programming: experience in the development of technical applications using programming languages like Java, Python, C++, C#, or R
   
Text: Research Fellow - Evolutionary Computing and Optimisation, - Ref:1729286 Click here to go back to search results Apply Now Return to Unfinished Application Department Faculty of Business & Law Campus/location Frenchay campus Salary band G - £32,548 - £38,833 Duration of post Fixed term Fixed Term end date 30 Jun 2020 Fixed term period (yrs/mths) 2 Years Post is open to: External and internal candidates Closing date 27 Jun 2018 Job overview UWE Bristol is an ambitious university. Together, our people are working hard to advance knowledge, inspire people and transform futures. We are looking for people with the skills and ambition to help us achieve those aims. We are a well-established university, with over 29,000 students, 250,000 alumni and 3,000 staff. UWE Bristol is one of the largest providers of Higher Education in the South West. We are globally connected and regionally embedded, with strong employer and partner connections. Students come to study with us from all over the UK, as well as from 140 different countries, making this a diverse and interesting place to study. We achieved 88% student satisfaction in the NSS in 2017, this excellent result puts us as the top university in the South West for student satisfaction. Bristol itself is a hub of social and cultural activity and is a big pull for students and employers alike. A place with a strong, creative and fiercely independent mindset. A city with a buzzing music scene, great restaurants and interesting business ventures. It’s not surprising Bristol is consistently named as one of the best places to live and work in the UK. We have a current vacancy for a Research Fellow who will contribute towards the maintenance and enhancement of the University’s reputation for research, knowledge exchange, teaching and scholarship through their contribution to the collective endeavours and through their own research, external engagement, and teaching. Research at our Big Data Analytics Laboratory (BDAL) addresses a wide range of topics relating the implementation in industry of novel and emerging technologies, e.g. Big Data Analytics, Deep Learning, Internet of Things (IoT), Augmented Reality (AR) and Virtual Reality (VR), Cybersecurity etc. We are seeking a Research Fellow with proven track-record on delivering high-impact research to join the vibrant research team at BDAL. The ideal candidate for this position will be responsible for conducting independent academic and industrial research within the context of Evolutionary Computing and Optimisation for a number of research projects within BDAL. The candidate is expected to work with various research teams in parallel to design and implement optimisation systems for varied applications for construction, engineering and facilities management. We seek to employ someone with the ability to apply new technologies to solve construction and engineering problems within a short period of time. The candidate must have experience of inter-disciplinary research. In addition to progressive pay rates, UWE Bristol offers a wide range of staff benefits including: • a generous holiday allowance of 35 Days • up to 12.5 bank holiday/closure days per year in addition; • flexible working; • excellent defined benefit pension schemes; • option to participate in the cycle to work scheme; • family friendly policies; • onsite nursery at our Frenchay Campus; • option to purchase childcare vouchers. This post is based at our lively Frenchay campus where we have invested in the latest facilities and resources to give our students and staff access to everything they need to succeed. Frenchay campus is within close proximity to excellent motorway links and within walking distance of two train stations, making UWE Frenchay Campus the ideal place to work for those wishing to commute to Bristol. Please see the attached full job description and person specification for the role. If you have any queries or would like an informal discussion, please contact Lukumon Oyedele by email on: L.Oyedele@uwe.ac.uk. Interviews will take place across the 2, 3 and 4 July 2018. UWE is committed to supporting and promoting equality and diversity to create an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds who share our ambition to be a university recognised for the success and impact of our practice-oriented programmes; our strong industry networks and our inclusive global outlook. Full time/part time Full time Information for Applicants Job Description Apply Now Return to Unfinished Application Email this vacancy to a friend..
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