Codesign for inclusive mobility - digital interfaces for disability
Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “Codesign for inclusive mobility - digital interfaces for disability” led by Dr Federico Colecchia in the Brunel Design School
Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years).
You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.
The project will focus on design of novel digital interfaces, powered by state-of-the-art machine learning capabilities, to enhance accessibility of mobility services for disabled users. It will deliver detailed interface design specifications for the next generation of inclusive mobility services. The project will provide opportunities to engage in interdisciplinary research across design and computer science at Brunel University London, in collaboration with CityMaaS (www.citymaas.io).
Please contact Dr Federico Colecchia at firstname.lastname@example.org to find out more.
You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in Computer Science or Design. A postgraduate Master’s degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.
Skills and Experience
You should be proficient with User Centred Design and UI/UX best practice and be familiar with codesign methods. The project involves tight deadlines so you must demonstrate excellent project and time management skills. You should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically, and collaborate with others is essential.
How to apply
Email the documents below as a single PDF file to email@example.com by 16:00 on Wednesday 25 May 2022. Please state the name of the project supervisor in your email.
- Your up-to-date CV;
- Your 300-word personal statement setting out why you are suitable for this position;
- Your Undergraduate/Postgraduate Master’s degree certificate(s) and transcript(s);
- Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;
- Two references, one of which can be provided by a member of Brunel University academic staff.
Interviews will take place in June 2022.
- Federico is a Lecturer in electronics, computer programming, and embedded systems at Brunel Design. He has been active in higher education since 2002, has led postgraduate and undergraduate modules, and is presently in charge of the 'Embedded Systems for Design' third-year undergraduate module.
He received his doctoral degree (PhD) in Physics from the University of Padova in 2001, following work on a large-scale physics experiment at the Stanford Linear Accelerator Center in the USA. He subsequently built an interdisciplinary research and innovation portfolio focussing on applications of artificial intelligence and machine learning across disciplinary boundaries with an emphasis on the biomedical domain - brain tumour segmentation from MRI scans, protein-DNA binding site prediction, informed decision making in the pharmaceutical industry.
Following his work in Padova and at Stanford, Federico has been a research staff member at University College London (UCL), Brunel University London and Lund University, an honorary research scientist with the UCL Hospitals NHS Foundation Trust, and a researcher and project leader in industry - artificial intelligence for pharmaceutical consulting. His research has been funded by the UK Research Councils, the European Commission and private investors, and has involved close collaboration with multinational technology companies such as QinetiQ. Over the years, he has collaborated closely with clinicians, biologists, statisticians, mathematicians, sociologists, psychologists, educationalists, and designers, thereby developing a robust understanding of the dynamic of interdisciplinary collaboration as well as a deep appreciation of knowledge exchange and research exploitation pathways.
He has published research in biomedical science, computer science, human-computer interaction, design, and physics, and his academic articles have received more than 6,000 citations (ResearchGate, 2020). He is also the inventor on a US patent on distributed storage and analysis of large relational datasets. He has delivered presentations at international conferences in different fields, chaired conference sessions, and peer-reviewed scholarly publications in medicine, human-computer interaction, and physics.
Research Expertise and Interests: Artificial intelligence, machine learning, embedded electronics, human-computer interaction, medical physics, design, information visualisation.
Google Scholar: https://scholar.google.com/citations?user=wZlM_6YAAAAJ&hl=en
Embedded Systems for Design - year 3
Electronics, Programming & Interfacing - year 2
Systems Design - year 2