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Duration of study:ÌýFull time – 4 years fixed term
Starting date:ÌýFlexible, available from October 2024. Available start dates are 1^st October, 1^st February and 1^st May.
Application deadline:ÌýNo closing date, the position will remain open until a suitable candidate is found.

Primary Supervisor:ÌýDr Anna Maria Mandalari, Assistant Professor in Communications & Networking, Department of Electronic & Electrical Engineering, University College London (ÂÒÂ×Ðã)

Project Description:ÌýThe new research team led by Dr Anna Maria Mandalari at the Electronic and Electrical Engineering department is looking for a motivated PhD student to work in the areas of Internet of Things, AI, medical IoT devices, security and privacy. The student will work on providing better security and privacy for edge devices, AI for medical devices, and networking systems, using the ÂÒÂ×Ðã advanced IoT testbed.

Main responsibilities include, but are not limited to:

• Performing world-class research on edge/network privacy and security
• Writing research papers, articles, and present results at leading international conferences, e.g., S&P, IMC, NDSS, PETS, etc.
• Collaborating with internal and international teams of research scientists

You will have time to develop your own research agenda towards a successful career in academia or industrial research. We offer close supervision on your research, access to international collaborations, the possibility to travel to international conferences to meet with distinguished scientists, and excellent working conditions. The student will work under the supervision of Dr Anna Maria Mandalari, and will join and collaborate with an interdisciplinary team of PhD students and postdoctoral researchers at ÂÒÂ×Ðã Dept of Electrical and Electronic Engineering, located in central London.

Funding:ÌýThis is a funded 4-year studentship to cover the 3 years Home/Overseas student's tuition fees plus a 4 year £21,237/year stipend for living costs increasing with inflation as well as a top-up contribution towards travel and consumables.

More details about the stipend and fees can be found here:Ìý/research-innovation-services/award-services/research-studentships/studentship-budgets.

The candidate should pass the entry requirements of PhD programme at ÂÒÂ×Ðã EEE:Ìý/prospective-students/graduate/research-degrees/electronic-and-electrical-engineering-mphil-phd

Qualifications required:ÌýCandidates should have or expect to achieve an excellent degree(s) in Electronic Engineering, Physics, Computer Science or a related discipline. Strong quantitative research skills and familiarity with advanced systems programming (mobile, IoT, sensor boards), network and security protocols and advanced data analysis skills are essential. A passion for user-centred systems (privacy, inclusion, legibility) with ML models, demonstrated by extra-curricular activities or industrial experience, is desirable. Good team-working and communication skills are essential.

How to apply:ÌýApplications must be made using the ÂÒÂ×Ðã online application system by using the ÂÒÂ×Ðã postgraduate study application form. Please mark it to the attention of Dr Anna Maria Mandalari.

Equality, diversity, and inclusion:ÌýOur research is driven forward by talented researchers and PhD students who come from countries and backgrounds across the globe. We therefore strongly encourage applications from underrepresented backgrounds in engineering, such as women, ethnic minorities, or people with disabilities– EEE is a great place for you to study! We will make reasonable adjustments at interview and/or in the position as requested.

Contact:ÌýFor informal inquiries please contact Dr Anna Maria Mandalari (a.mandalari@ucl.ac.uk ) who will be happy to answer any queries about the project.