Research Assistant

Exeter, ENG, GB, United Kingdom

Job Description

About the Role



Cineon is seeking a passionate and driven Research Assistant to join our team as we develop our ELE technology.

You will play a key role in implementing the data collection protocols used to produce robust empirical evidence for our immersive tools and products - supporting projects across healthcare, military, and aviation performance.

An interest in working with eye-tracking and behavioural data to help shape the future of training and therapy through Extended Reality (XR) and wearable technologies.

Working as part of a multidisciplinary team including researchers and data scientists, you'll contribute to cutting-edge research on the design, development, evaluation, and implementation of immersive technologies. Your meticulous data collection and processing work will directly inform our machine learning and data science initiatives, driving innovation in human performance and wellbeing.

Key Responsibilities



Support the coordination of research and evaluation studies involving human participants. Conduct and lead data collection activities (including eye-tracking and behavioural data), ensuring strict adherence to established protocols. Assist researchers with literature reviews, horizon scanning, and study documentation. Contribute to high-quality reports, manuscripts, and documentation by summarizing data collection efforts and initial findings. Communicate data collection progress to technical and non-technical audiences. Represent Cineon at events, demonstrations, and conferences when required.

About You



We're looking for a proactive Research Assistant who combines administrative precision with enthusiasm for emotion and psychological technology including immersive tech, AI, and wearables. You will likely hold an MSc or a BSc with relevant experience in a relevant discipline and have hands-on experience conducting human research studies under supervision.

Essential



MSc or BSc in Psychology, Human Factors, Cognitive Science, Cognitive Neuroscience or a closely related field Strong analytical, communication, and scientific writing skills Experience with human data collection and ethical research practices Familiarity with programming language (Python preferred) and data analysis tools (e.g. Python data stack, R) Demonstrated ability to work independently, manage multiple tasks, and meet deadlines

Desirable



Experience managing and collecting large datasets for human research studies Familiarity with XR, VR, or AR environments Familiarity with wearable eye-tracking glasses Understanding of human performance and applied psychology Enthusiasm for research that bridges science and real-world application

Why Join Us



At Cineon, you'll join a collaborative and forward-thinking team dedicated to enhancing human performance, wellbeing, and learning through immersive technology. Our team of scientists and developers brings together expertise in human psychology, deep learning, and data analysis -using evidence-based techniques and innovative software to make a real-world impact across sectors worldwide.

We believe in curiosity, creativity, and scientific integrity, and we foster an environment where ideas are valued and innovation thrives. You'll be supported to grow both personally and professionally, working alongside passionate experts who are shaping the future of XR and human performance.

What We Offer



A dynamic and innovative working environment Opportunities for personal and professional growth Flexible working options, including hybrid working A supportive and ambitious team driving meaningful impact 33 days of holiday per year (pro rata and including bank holidays) Company pension scheme A modern workspace at Exeter Science Park with good transport links and an onsite cafe

How to Apply



Please send your CV and a short cover letter explaining why you're a great fit for the role to info@cineon.ai

Job Types: Full-time, Permanent, Graduate

Pay: 25,000.00-35,000.00 per year

Benefits:

Canteen Company pension On-site parking Transport links Work from home
Work Location: Hybrid remote in Exeter EX5 2FN

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Job Detail

  • Job Id
    JD4275648
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Full Time
  • Job Location
    Exeter, ENG, GB, United Kingdom
  • Education
    Not mentioned