Benefits:

• Pension scheme

• Generous holiday entitlement

• Competitive salaries

• Training and development

• Family Friendly policies On campus childcare facilities, for more information visit www.wivenhoeparkdaynursery.co.uk Relocation support package for qualifying staff Interest free season ticket loan Range of optional salary exchange tax benefits (pension and bicycle schemes)

Education Requirements:

• PhD in Human-Computer Interaction, Cognitive Neuroscience, Psychology, Behavioral Science, or a related discipline.

Experience Requirements:

• Experience in organizing and conducting experiments with human participants and technology.

• Knowledge of eye-tracking and/or pupillometry techniques is desirable.

• Strong written and verbal communication skills.

Responsibilities:

• Manage, prepare, and conduct eye-tracking experiments in lab and remote settings.

• Organize and curate large datasets, ensuring high-quality data collection and analysis.

• Develop questionnaires and conduct fieldwork to support research objectives.

• Identify trends and patterns in eye-tracking and pupillometry data.

• Conduct qualitative and quantitative analysis to inform study outcomes.

Benefits:

• Pension scheme

• Generous holiday entitlement

• Competitive salaries

• Training and development

• Family Friendly policies On campus childcare facilities, for more information visit www.wivenhoeparkdaynursery.co.uk Relocation support package for qualifying staff Interest free season ticket loan Range of optional salary exchange tax benefits (pension and bicycle schemes)

Education Requirements:

• PhD in Computer Science, Artificial Intelligence, Mathematics, Physics, Data Science, Bioengineering, or a related discipline.

• Ability to complement and enhance the research project and department’s strengths.

• Strong written and verbal communication skills.

Responsibilities:

• Design, implement, and document AI algorithms for deep learning, computer vision, and signal processing in the context of neuromonitoring.

• Develop and refine imaging analytics pipelines to extract key metrics from video and time-series data, particularly related to pupillometry, eye movement, and fatigue detection.

• Train, retrain, and optimize deep learning models, including data preparation, augmentation, and integration of additional datasets.

• Manage deep learning workflows on local devices and cloud-based environments and analyze model outputs to derive actionable insights.