Application closing date 07/05/2019
Faculty / School or Service Faculty of Engineering, Environment & Computing
Salary £32,243 - £40,802 per annum
Package As one of Coventry's biggest employers, we offer some pretty impressive benefits including an excellent pension scheme and generous holiday allowances.
Job category/type Research
Coventry University is investing heavily in research, continuing our commitment to talented, world-class researchers. We are gaining momentum as a world-class, innovative institution and our strategy is underpinned by a significant investment in our people.
We are looking for a talented Research Fellow to join us and deliver, publish and communicate high-impact research work within the large Horizon 2020 project, DOMUS (Design OptiMisation for efficient electric vehicles based on a USer - centric approach https://www.domus-project.eu/).
Run by a large European consortium that includes key vehicle OEMs,Tier 1 suppliers and research institutions, DOMUS aims to deliver advanced solutions to significantly lower the energy demand for cabin conditioning while improving the user experience by developing, validating and applying auser-centric approach to EV design. As a result, DOMUS aims to reduce the overall energy consumption of future EVs in order to increase the electric range by 25% for a variety of ambient conditions.
The position is based within a work package, led by Prof. James Brusey at Coventry University, that seeks to determine and model the user's perception and requirements of comfort and cabin energy requirements. The work feeds into most other project work packages and thus the post holder will relate to a large proportion of the consortium.
The post holder will join an existing team of academics working on the project at Coventry and will develop a Holistic Comfort Model for vehicle passengers and an efficient cabin model for the thermal and acoustic behaviour of car cabins. You will conduct desk-based research as well as experimental work to gather cabin and user data and engage with using a number of modelling techniques. Working with the wider team, you will contribute to the DOMUS project delivery and help to produce high-quality publications for both the project deliverables and external refereed publications. This is a computer science role with interdisciplinary aspects, involving collaborative work with other researchers in the consortium.
You will benefit from mentoring and a wealth of researcher development opportunities in Prof. Brusey's lab as well as the university overall. The lab currently hosts 10 major projects and has 12 PhD students, several senior staff and 3 other research fellows. Opportunities abound for gaining experience in teaching, supervision of PhD students, and involvement with other projects.
You will have a PhD or equivalent professional qualification in Computer Science or a related discipline.
In addition, you must be able to demonstrate the following essential criteria:
- Programming experience in at least one general purpose programming language and the ability to work within a team of programmers
- Demonstrable knowledge of one or more of the following areas: machine learning, artificial intelligence (and associated tools), data science, embedded systems, intelligent control, statistical methods, systems modelling
- Good quantitative research skills and familiarity with applying these in desk, lab and field work
- Excellent communication skills, including presenting complex issues to non-expert audiences
- High-level analytical skills
- Proven technical writing and analysis skills
- Ability to conduct a detailed review of recent literature
- Excellent written communication skills and the ability to write up research for peer-reviewed journals and conferences
- Excellent verbal communication skills, including ability to engage non-expert audiences with complex information
- Experience in writing concise and clear reports
For informal enquiries about this post please contact Professor James Brusey at firstname.lastname@example.org.
The position is available for a fixed term period of up to 12 months starting in June 2019 or as early as possible after this date.
Skills Test: w/c 13th May 2019
Interviews: Monday 20th May 2019