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Research Fellow in Computer Vision & Machine Learning

Paleooceanography & Palaeoclimate

Location:  National Oceanography Centre Southampton
Salary:   £30,942 to £34,804 per annum
Full Time Fixed Term until 13/09/2021
Closing Date:  Tuesday 29 September 2020
Interview Date:   To be confirmed
Reference:  1287820HN

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.

Application Procedure

You should submit your completed online application form at www.jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Kate Pounds (Recruitment Team) on +44 (0) 23 8059 4546. Please quote reference 1287820HN on all correspondence.

*Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.  The title of Research Fellow will be applied upon successful completion of the PhD.  Prior to the qualification being awarded the title of Research Assistant will be given.

Athena SWAN Bronze Award holder: Electronics and Computer ScienceAthena SWAN Bronze Award holder: Ocean and Earth Sciences

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We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.


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