Postdoctoral Research Associate in Generative Adversarial Networks (GANs)
Salary: £34,804 to £39,152 per annum
Fixed Term to 31/05/2022
Post Type: Full Time
Closing Date: 11th July 2021
Your discipline. Your passion. Our success, together.
We are seeking an individual with experience in machine learning, deep learning, computer vision and artificial intelligence (AI). You will also have strong programming (e.g. Python), mathematical and computational skills. You will have experience in software development using agile, iterative and data driven methodology, with hands-on experience of opensource deep learning tools (e.g. TensorFlow, Keras, PyTorch, etc.).
The ideal candidate should have excellent communication and organisational skills, be flexible and be able to identify opportunities, and imbue high levels of professional integrity with stakeholders.
About the Role
The Department of Computer Science is a vibrant and innovative environment, which provides excellence in teaching and learning and a rapidly growing base for internationally renowned research. The Department has, for a number of years, been enjoying a significant period of growth, both in its students and staffing base, and has recently moved to a new £13m Tech Hub building housing state-of-the-art facilities to further support its vision as a digital centre of excellence.
The successful applicant will work on an innovative initiative project (funded by CRUK, PUCK and EPSRC) focusing on developing a novel computational framework for early detection of Pancreatic Cancer (PC). The framework is driven by the mechanism in Generative Adversarial Networks (GANs) to generate and validate plausible hypotheses with a functionality of learning to emphasize PC-linked variables/measurements describing high-risk malignant transformation of cystic pancreatic lesions. Due to the interdisciplinary nature of the project, you will be working closely with other involved researchers from Queen Mary University of London (QMUL), University College London (UCL), Manchester Metropolitan University (MMU) and the University of Hertfordshire (UH).
We want you to feel happy when you come to work and proud when you go home.
From the moment you join us you have the opportunity to enhance your skills. We offer various routes for progression, a range of specialist development sessions and academic development opportunities along with an award winning and comprehensive staff health & wellbeing programme (HR Excellence Awards 2017). This means you will receive a full academic induction, be enrolled if appropriate on our PGCTHE, benefit from the Edge Hill University CPD scheme (UKPSF) and our annual University Learning and Teaching day all to support your professional development.
This is just a taste of what we are able to offer you at Edge Hill University.
"A great success story… an institution that improves and impresses year after year" - Times Higher Education.
We are recognised for our outstanding achievements in student satisfaction, staff engagement, graduate employment and innovation as well as our strengthening research profile, investment and growth. The Times Higher 'University of the Year’ award also celebrated our distinct role in "transforming lives" - reflecting a distinctive philosophy of creating opportunity from excellence.
The University has been ranked Best University Workplace (Times Higher Education 2015), judged Best UK Employer (European Business Awards 2016) and highly commended in Times Higher Education Leadership and Management Awards 2017 for Workplace of the Year.
Based on an award-winning campus in West Lancashire,Edge Hill University offers a stimulating and empowering environment for ambitious and high performing professionals.
At Edge Hill University we value the benefits a rich and diverse workforce brings to our community and therefore welcome applications from all sections of society
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