[visionlist] [jobs] 12 month computer vision/deep learning postdoc, York, UK

[William Smith]

12 month postdoc in computer vision/deep learning
University of York, UK
Deadline: 15th August

The Vision, Graphics and Learning (VGL) group (
https://sites.google.com/york.ac.uk/vglyork) within the Department of
Computer Science is looking to appoint a Postdoctoral Research Associate
with experience in Computer Vision. Specifically, we seek candidates with
expertise and practical experience in using deep learning for at least one
of object recognition, object detection, face recognition, face expression
recognition, face or human body tracking. We particularly welcome
applications from candidates with a track record of publishing in the top
computer vision venues such as CVPR, ICCV, ECCV, IEEE T-PAMI, IJCV or
similar.

The post is part of an ambitious world-wide research programme (
https://wellcomeleap.org/1kd/) funded by Wellcome Leap, which researches
the development of executive function and the underlying neural networks in
the first 1000 days of life. The team at York is led by Dr Elena Geangu and
comprises of developmental neuroscientists, computer scientists, biomedical
engineers and statisticians. It will focus on developing wearable sensors
and related artificial intelligence for monitoring infants’ and toddlers’
real world natural statistics relevant for developing healthy executive
functions. The team will implement this work in state-of-the-art
laboratories, benefitting from a wide range of technology (e.g., EEG,
eye-tracking (fixed and head-mounted), wearable sensing, sleep lab, motion
tracking system) and a collaborative environment.

Successful candidates are expected to take up the position by 1st of
October 2021 at the latest.

Role

The successful applicant will work with Dr Will Smith and collaborators in
Psychology, Electronics and Mathematics to:

- Select, adapt, develop and apply deep neural network architectures for
visual characterisation of an infant’s environment from head-mounted video
cameras
- Evaluate the performance of visual systems against our own lab-collected
and annotated data
- Maintain and document a codebase that can be shared with other members of
the Wellcome Leap 1kD scheme and the wider community
- Work with collaborators at York to provide input into the design of
wearable cameras and sensors and to integrate visual information with
attention signals from body sensors
- To lead on and/or contribute to the production of research outputs and
research outcomes.

Skills, Experience & Qualifications needed:

- PhD in Computer Vision or related area with specific expertise in at
least one of object recognition, object detection, face recognition, face
expression recognition, face or human body tracking
- Knowledge of deep learning methods, implementation frameworks and
evaluation metrics used in object and face/body analysis, their strengths,
limitations and applications and a range of research techniques and
methodologies
- Experience of carrying out both independent and collaborative research
and documenting and sharing code
- Experience of writing up research work for publication in top venues and
competency to make presentations

This is a fixed term contract for 12 months.

The university offers a range of flexible working arrangements including,
where appropriate, remote working.

Interview date: to be confirmed

For informal enquiries: please contact William Smith on
william.smith at york.ac.uk

For further details and to apply see:
https://jobs.york.ac.uk/wd/plsql/wd_portal.show_job?p_web_site_id=3885&p_web_page_id=453459
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