Research Associate in Machine Learning: The University of York is seeking a Postdoctoral Research Associate in the fields of Machine Learning and Computer Vision to contribute to a groundbreaking interdisciplinary project on continual learning. This role will collaborate with Google DeepMind and will focus on the intersection of computer science and developmental psychology.
Research Associate in Machine Learning and Computer Vision
Designation:
Research Associate (Fixed Term)
Research Area:
Machine Learning, Computer Vision, Developmental Psychology
Location:
University of York campus, United Kingdom
Eligibility/Qualification:
- PhD in Computer Science, Machine Learning, Psychology, or a related field.
- Strong command of spoken and written English.
- Demonstrable expertise in training large-scale models in a self-supervised regime.
- Familiarity with data processing and machine learning evaluation techniques.
Job Description:
The successful candidate will conduct research leveraging a unique multimodal dataset (EgoActive) comprising audio-video recordings and physiological data from infants and adults. Responsibilities include:
- Designing and conducting experiments using collected data to train models and analyze performance.
- Exploring algorithms related to surprise and curiosity in both infants and machine learning.
- Preprocessing data for machine learning experiments and pseudo-labeling data using pre-trained models.
- Writing research findings for high-quality publications and presenting at various conferences and workshops.
- Engaging in organizational activities related to research and data protection legislation.
- Promoting best practices in interdisciplinary research.
How to Apply:
Interested candidates should submit their application through the University of York’s application portal. For informal inquiries, please contact Dr. Elena Geangu via email at elena.geangu@york.ac.uk.
Last Date for Apply:
Applications will be accepted until 11th November 2025.
This role offers the opportunity to engage with innovative research and gain experience collaborating with leading industry partners.
