PhD Research Studentships

AI based instrumentation and sensing

Supervisor: Lei SU
Apply by:31 May 2024
Start in:September (Semester 1)

Description

The rise of artificial intelligence (AI) and deep learning has been transforming humans ability to execute complex inference tasks using computers. In the field of instrumentation and sensors, deep learning has uncovered exciting applications in areas such as sensing, diagnosis, imaging, communication, and system designs.

This project aims to develop AI and machine-learning based novel instrument and sensor systems. Given the wide concept of AI based instrumentation and sensing, as well as the group’s available expertise on several research projects in this area, this PhD project can be tailored according to the successful candidate’s interest and experience. The applicant is expected to have experience (but not limited to) in one or several of the following areas: electronic engineering, optical engineering, ultrasound engineering, physics, optoelectronics, machine learning, wearable devices, or material engineering.

Benefits include training in state-of-the-art techniques from nanofabrication to advanced sensing systems with the supervisors’ groups. Candidates will further benefit from a close collaboration with industry partners, leading to future career opportunities both in the academic and industry sector.

Group: The research in the host group is centred on sensors and instrumentation, optical and electronic devices, and optoelectronic materials for imaging, detection, monitoring and communication, interfacing with Artificial Intelligence, Materials, Chemistry and Nanotechnology, in applications such as healthcare, energy and security. Please see below some relevant publications from the host group.

Our research groups prioritise a healthy research culture, collaboration, and flexible work hours as needed. We will provide a personalised mentorship, including working towards different career choices following the PhD. Previous group members continued to (independent) careers in academia and industry. We are also happy to discuss potential applications informally (see contact details below).

References:

1.Fan, P., et al. (2019). Optics express, 27(15), 20241-20258.

2. Fan, P., et. al (2021). Laser & Photonics Reviews, 15(4), 2000348.

3. Zhou, Y., et. al (2022). Science Advances, 8(38), eabq8629.

4. Wang, X., et. al (2022). Scientific Reports, 12(1), 12684.

Funding

Funded by: SEMS
This studentship arrangement covers home tuition fees and provide an annual stipend for up to three years (currently set at the 2023/24 stipend rate of £20,622 pa)

Note that this Studentship cover home-rated tuition fees only (See: www.welfare.qmul.ac.uk/money/feestatus/ for details)

Overseas applicants would be required to meet the difference between home and international tuition fees

Eligibility

  • The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
  • If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of 6.0 in Writing and 5.5 in all sections (Reading, Listening, Speaking).
  • Candidates are expected to start in September (Semester 1).
  • SEMS and Principal-funded studentships: this studentship arrangement covers home tuition fees and provides an annual stipend for up to three years (currently set at the 2023/24 stipend rate of £20,622 pa)
  • Note that Queen Mary Research Studentships cover home-rated tuition fees only (See: www.welfare.qmul.ac.uk/money/feestatus/ for details)
  • Overseas applicants would be required to meet the difference between home and international tuition fees

Contact

For informal enquiries about this opportunity, please contact Lei SU.

Apply

Start an application for this studentship and for entry onto the PhD Medical Engineering full-time programme (Semester 1 / September start):

Apply Now »

Please be sure to quote the reference "SEMS-PHD-531" to associate your application with this studentship opportunity.

Related website:https://www.sems.qmul.ac.uk/staff/l.su/research
Keywords:Biophysics, Software Engineering, Biomedical Engineering, Engineering - Other, Nanotechnology, Materials Science - Other, Medical Physics