Coventry University is a diverse and exciting place to work and we share the enthusiasm of our staff and students to be the best at whatever they choose to do. As one of the City’s biggest employers, we offer some impressive benefits for our staff and are committed to delivering the very best opportunities. We have a comprehensive training, personal and professional development programme that provides our employees with the skills to enhance their performance in the workplace and grow in their careers. There are pension schemes, a generous holiday allowance and flexible working opportunities as well as lifestyle benefits including childcare vouchers, discounted membership to the £4 million sports and recreation centre and schemes such as Cycle to Work and the CU Car Share initiative.
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Coventry University academic teaching year is made up of three 16 week-long teaching blocks. Here you will find information about term dates for both new and returning students as well as study break and end of semester dates for undergraduate and postgraduate students.
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The Centre for Agroecology, Water and Resilience have launched their new MSc for September 2018. Applications are now open.
The DDRI Programme is a major strategic initiative, bringing together research with partner organisations, amongst the leaders in their respective sectors.
On the 7th of February, the Centre for Postdigital Cultures, a new Research Centre at Coventry University, held it’s ‘soft’ launch in the form a day-long event on the top floor of the Lanchester Library, where the CPC is now based.
Registration for the fourth inter-disciplinary conference, led by the Centre for Business in Society for academics and practitioners in the field, is now open.
Could edible insects play an important role in tackling a growing global humanitarian problem?
As an ambitious and innovative university, our research makes a tangible difference to the way we live. Coventry University is already known for delivering research that makes a significant contribution to a number of global challenges.
Our Research Centres focus on a range of real-world issues under five key themes.
The aim of this PhD is to appraise the use of an acoustic monitoring system (either as standalone or in combination with other systems) and its effectiveness in preventing night-time falls and explore the opportunity for machine learning of the system within a residential care home for people with dementia. Some data will already be available for analysis, but other data will need to be collected during the PhD.
Power Electronics Converters are exceptionally important in systems that operate in changeable, isolated, challenging environments or where the degradation of operation can potentially be life threatening. Practical examples of scenarios which would benefit from the integration of Condition Monitoring include; offshore wind turbines, aerospace power supplies, traction drives and electric vehicles.
The project is in the field of plasma physics, focusing on the analysis and modelling of plasma turbulence at kinetic scales. As a strongly nonlinear phenomenon, turbulence is responsible for the coupling of scales in a system. For plasmas, these couplings involve interactions with the electromagnetic fields. Moreover, as magnetically confined fusion and astrophysical plasmas are deemed to be collisionless, these interactions require a kinetic description to be fully captured. Other kinetic phenomena, such as Landau Damping and phase space mixing, need now to be considered.
The project aims to support Vocational Education and Training (VET) provision for site managers in C&D waste by: addressing modern training needs in accordance with EU priorities regarding waste management, and developing Open Educational Resources (OERs) that ensure easy and free access to on-line training and certification.
This research investigates systematic characterisation of threat indicators, in the context of early warning systems. For a given class of stealthy threats, the research will provide basis of trade-off decision-making between uncertainty of early indicators and estimating manifestation of threats.