Interdisciplinary Research Associate/Fellow – Optimisation (Operational Research) (fixed term)
- Closing Date
- Thursday, 8th March 2018
- Job Type
- £26495 to £38833 per annum, (pro rata if applicable) depending on skills and experience (minimum £29799 with relevant PhD). Salary progression beyond this scale is subject to performance
An exciting opportunity has arisen to work at the forefront of research and science on the Horizon 2020 OPTIMISED project (https://www.optimised-h2020.eu/). The research is focussed on progressing manufacturing informatics as a multidisciplinary research theme at the interface between engineering, computer science and operational research. You will work closely with other researchers from the Faculty of Engineering and the School of Computer Science as well as with 9 industrial and research project partners from various institutions across Europe.
The OPTIMISED research project investigates how informatics can be integrated with traditional manufacturing techniques to develop future smart manufacturing systems by bringing together methods of data analytics, mathematical modelling, operational research and experimental validation. You will have direct contact with industry partners and you will participate in developing and implementing multi-objective optimisation models to improve operating efficiency, reduce cost and increase revenue across different industries. These methods will be integrated, tested and validated at industry partners’ sites.
The role holder will be educated to PhD (or about to obtain), master’s or undergraduate degree level in computer science, operations management, operational research, industrial engineering or a related engineering or management discipline specialised in optimisation. Candidates with substantial relevant experience in multi-objective optimisation algorithms will also be considered. In addition, the successful candidate will have strong analytical abilities and problem-solving skills together with a sound knowledge of operational research and experience in formulating and implementing multi-objective optimisation models, specifically knowledge of multi-objective optimisation techniques in operational research (evolutionary algorithms, genetic algorithms, etc.) The successful candidate should be able to apply optimisation techniques in one or more domains such as manufacturing, allocation and scheduling problems. Proficiency in C++, Java or C# programming language is required. Excellent interpersonal skills are also required, together with the ability to work both in a team and independently are essential. Some travel within the UK and to the EU project partner’s site may be required.
This full-time post is available from 01 April 2018 and will be offered on a fixed-term contract until 31 January 2019. Job share arrangements may be considered.
The Faculty of Engineering was the first in the UK to be awarded an Athena Silver SWAN Award, in recognition of our commitment to supporting and advancing women’s careers in Engineering (STEMM). You can read more about this initiative at www.nottingham.ac.uk/engineering/athena-swan.
Informal enquiries may be addressed to Dr Elkin Castro, email: email@example.com or Professor Svetan Ratchev, email: Svetan.Ratchev@nottingham.ac.uk. Please note that applications sent directly to these email addresses will not be accepted.
The University of Nottingham is an equal opportunities employer and welcomes applications from all sections of the community.