PhD Candidateship: Smart Cooking Solutions for ALL (SCS4ALL)

University College London
Civil, Environmental & Geomatic Engineering
WorkplaceLondon, Greater London, UK


UCL Search Engine: PhD candidateship: Smart Cooking Solutions for ALL (SCS4ALL) , - Ref:1804683

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PhD candidateship: Smart Cooking Solutions for ALL (SCS4ALL) , - Ref:1804683

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Applications are invited for a PhD candidateship jointly funded by BBOXX and UCL Engineering. The studentship is for a full-time doctorate over three and a half years.

The scholarship covers UCL registration fees and provides a stipend of 17,280 per annum tax free. Research equipment and part travel expenses for one trip per annum will also be covered under the funding.

The lack of access to modern energy services continues to be the reality for over a billion people worldwide. In Sub-Saharan Africa, 65% of the population (37% in urban and over 80% in rural areas) live off the grid and have to rely on polluting fuels such as candles, kerosene, charcoal and wood for lighting and cooking. There is a growing need for research into innovative solutions for making clean cooking fuels accessible. This research will build on the innovative work of BBOXX (?" target="_blank" rel="nofollow">?" target="_blank" rel="nofollow">, a next generation utility unlocking potential through energy access. With headquarters in London and operations in 12 countries including Rwanda, Kenya, Togo, DRC and Pakistan BBOXX offers pay-as-you-go solar power. At the heart of BBOXX is their pioneering management platform, called Pulse, which continuously collects data and insights. BBOXX are exploring the potential to use their management platforms to enable improved access to LPG to have a positive impact on households who currently use charcoal.

The applicants should possess a good honours degree (1st Class or 2:1 minimum) in civil, renewable energy, electrical, energy, environmental engineering discipline with relevant experience in international development and strong writing skills, quantitative and qualitative data analysis skills along with programming skills for Python. We also invite applicants from geography and planning background who can demonstrate relevant engineering and programming experience.

Applications are invited from UK and EU members, residing in UK. Applicants must meet EPSRC eligibility requirements found here
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Applicants should send a covering letter and CV to priti.parikh [at] ucl[.]ac[.]uk . The successful applicant will then have to apply online to UCL by submitting the PhD application form, available from ?" target="_blank" rel="nofollow"> efault.aspx . Please name Dr. Priti Parikh as the proposed supervisor.


In your application, please refer to
and reference  JobID 163530.