Research Assistant: Application of AI Networks to Miniature Biomedical Imaging Systems and PPG [...]

University of Nottingham; United Kingdom; On-site; GBP 20,000 - 25,000; Part time

Job summary

A leading research institution in the UK seeks a part-time Research Assistant to develop AI models for image reconstruction using data from innovative imaging devices. Candidates should have a computing background, experience with time-series processing, and proficiency in Python. Ideal for Ph.D. students with relevant skills. The role offers a temporary contract with flexible hours.

Qualifications

• Strong background in computing necessary.
• Experience with medical imaging data is required.
• Proficiency in Python coding is essential.

Responsibilities

• Develop AI models for image reconstruction.
• Apply time-series processing with AI models.

Skills

Experience in time-series processing

Knowledge of AI models (LSTM, CNN)

Proficiency in Python

Education

Background in computing

Ph.D. student (relevant skills)

Job description

Overview

University of Nottingham – Research position in Computer Science / Biomedical engineering related fields.

Details

Application Deadline: 9 Oct 2025 - 22:59 (UTC)

Type of Contract: Temporary

Job Status: Part-time

Hours Per Week: 5

EU Funding: Not funded by a EU programme

Related to staff position within a Research Infrastructure: No

Offer Description

We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor.

Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python.

Responsibilities

• Develop AI models for image reconstruction from data from the ultra-thin fibre-based SFDI device and from the custom-built PPG sensor.
• Apply time-series processing with AI models (recurrent networks, LSTM) and 2D convolutional neural networks in Python.

Qualifications

• Background in computing.
• Experience in time-series processing with AI models (recurrent networks, LSTM) and 2D CNNs in Python.
• Prior experience with medical imaging data and Python coding is required.
• Suitable for a Ph.D. student with relevant technical skills.

Application

If you are interested about this position, please click 'apply now' and submit your application.

In case you have any informal inquiries, please contact George Gordon at [e-mail]. Applications sent directly to this e-mail will not be considered.