Research Fellow in Evolutionary Computing

Country: United Kingdom;

City: Bristol

Vacancy added: 13.10.2018

Employer: University of the West of England (UWE), Bristol

Resumes due: 08.11.2018


Department                               Computer Science & Creative Technologies

Campus/location                       Frenchay campus

Salary band                                G - £33,199 - £39,609

Salary details                             funded by EC EVONANO project

Duration of post                        Fixed term

Fixed Term end date                 30 Sep 2021

Fixed term period (yrs/mths)   3 years

Post is open to:                         External and internal candidates

Closing date                              8 Nov 2018

Job overview

We have a 3 year fixed term, full time, opportunity for a Research Fellow to join the Department of Computer Science & Creative Technologies. 

This is post is part of EC H2020 funded project 'EVONANO: Evolvable platform for designing cancer treatment strategies using nanoparticles’. The project aims to create an integrated cross-disciplinary platform for the artificial evolution and assessment of nanoparticle-based drug delivery systems. 

You will develop and deliver the implementation of the executable eCS platform. The model will include agents specifications (sizes, chemical properties, functional properties), what attributes of agents and at which level of granularity can be changed, model of vascular flow, model of endothelial penetration, appropriate tumour scenarios (different tumour sizes, positions, connectedness to vascular system), CSC model. 

Initial specifications established during a meeting of all project participants will form the basis for an initial MSSD to provide a baseline reference. To produce new major releases of the eCS every six months and minor releases every 2-3 months with increased speed and functionality at each release. All releases will be open source and available on a publicly available software repository. 

It is essential that you are/have: 

• Working towards completion or have completed a PhD in evolutionary computing or related fields 
• Working knowledge of Pythin, C++ 
• Working knowledge of genetic algorithms and evolutionary programming 

We would consider applications from candidates that wish to work part time. 

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; 

This post is based at our lively Frenchay campus which 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. 

We are a well-established university, with over 30,000 students, 250,000 alumni and 3,600 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. We achieved 89% overall student satisfaction in the National Student Satisfaction survey in 2018, this excellent result puts us as the top university in the South West and in 7th place nationally. In 2018 we were placed in the Guardian’s Top 40 Universities in the UK and we achieved TEF Gold status. 

Please see the attached full job description and information for applicants for the role. 

If you have any queries or would like an informal discussion, please contact Andrew Adamatzky on 0117 3282662 or email: 

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

Where to send resume: