Research Fellow in Computer Vision & Machine Learning

United Kingdom
£30,942 to £34,804
Aug 30, 2020
Sep 29, 2020
Organization Type
University and College
Full Time
Applications are invited for a Research Fellow in Feature Extraction and Computer Vision to join an interdisciplinary research consortium investigating the overarching question: Does developmental plasticity influence speciation? To address this fundamental question in evolution, we have assembled an excellent team of researchers and have an opportunity for you to help move our research forward.

You will have research experience in computer vision, feature extraction and/or machine learning, or related fields. As Research Fellow, your major role in the team will be to augment developed feature extraction algorithms with deep learning techniques. This post will build on related recent developments in Mark Nixon's Vision Learning and Control group at the University of Southampton, Gabriel Brostow's Computer Vision and Computer Graphics group at University College London and existing work within the project.

The post sits within the Natural Environment Research Council funded PISTON consortium across the University of Southampton, University of Leeds, University of Bristol and University College London. Our transdisciplinary approach to fill a key knowledge gap in contemporary evolutionary ecology, fuses computer vision, micro-tomography, systematics and geochemistry.

The successful applicant must have a PhD or equivalent professional qualifications and experience in a relevant subject area (e.g., Computer Science, Feature Extraction, Machine Vision, Machine Learning)*.

You should be an enthusiastic and well-motivated scientist, capable of contributing substantially to developing your own research project while also integrating within the multidisciplinary PISTON project. You should enjoy working in a multi-disciplinary environment and embrace ideas from others, as well as enjoy formulating your own. This is a full time fixed term post until 13/09/2021 and is available from around October 5th 2020, or as soon as practicable before or after this date given uncertainties surrounding Covid-19.

Informal enquiries about the post can be made to Work Package Lead Professor Mark Nixon or PISTON Co-ordinator Dr Thomas Ezard.

Ocean & Earth Science and Electronics & Computer Science both hold an Athena Swan Bronze Award, demonstrating their commitment to provide equal opportunities and to advance the representation of women in STEM/M subjects: science, technology, engineering, mathematics and medicine. The University of Southampton holds additionally an Athena Swan Silver Award. Both OES and ECS are able to provide flexible working opportunities in a part-time or job share capacity. Due consideration will be given to applicants who have taken a career break.

The University of Southampton has a generous maternity policy, onsite childcare facilities and employees are able to participate in the childcare vouchers scheme. Other benefits include state-of-the-art on-campus sports, arts and culture facilities, a full programme of events and a range of staff discounts.

We aim to be an equal opportunities employer and welcome applications from all sections of the community.