Research Fellow in Selfsupervised Learning

Vision, Speech & Signal Processing

Location: Guildford
Salary: £36,024 to £38,205
Post Type: Full Time
Closing Date: 23.59 hours BST on Sunday 01 October 2023
Reference: 047023

(This postdoctoral position can be undertaken full time for 6 months or part time for 1 year)

We have an exciting opportunity for an enthusiastic and talented researcher for a post–doctoral research position in Self-supervised Learning, with application to audio classification at the Faculty of Engineering and Physical Sciences. The position is available through an EPSRC funded project in the area of automatic audio analysis.

With the buzz of student life and superb working facilities, the University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

As a part of this, we want to make you feel valued, so we reward our staff with a generous salary, Annual Leave PLUS Bank Holidays package, industry leading pension with salary sacrifice benefits & rewards and a student discount scheme.

About the role

The project will offer an opportunity for the successful candidate to work in an inspiring environment at the University's Centre for Vision, Speech and Signal Processing, one of the UK's premier research centres in machine perception under the supervision of Professor Josef Kittler.

Your task will be to work on audio classification using AI learning techniques developed for computer vision. The aim will be to investigate the impact of self-supervised pretraining on the downstream audio classification tasks. The duties will include reporting the results in a top-ranking journal.

About you

We are looking for a motivated and enthusiastic researcher with a PhD degree, proficient in deep learning.  Knowledge of audio analysis and processing will be highly advantageous, as is experience in machine learning, information fusion, statistical analysis and handling of large datasets. You need to have good programming and experimental skills. You should have experience of C/C++ and GPU/CUDA implementation.

How to apply

For more information about the position contact Professor Josef Kittler, on J.Kittler@surrey.ac.uk.

Please attach a copy of your CV with your application.

The University of Surrey reserves the right to close the role early dependent on volume of interest.

Further details:    Job Description    

For more information and to apply online, please download the further details and click on the 'apply online' button above.

In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.  We place great value on diversity and are seeking to increase the diversity within our community.  Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.