Make a difference, every day, to the lives of our students.
You will have a strong, scientific interest, along with self-motivation and a willingness to work as a team player within an interdisciplinary setup. You will be qualified to degree standard in a relevant subject area and have strong programming skills (e.g. Python, Sci-kit and Linux) with exposure to computer vision, machine learning and deep learning.
Knowledge of deep learning and hands-on-experience with one or more deep learning tools (e.g. TensorFlow, Keras, PyTorch, Theano, Caffe, Scikit-Learn etc.) would be desirable.
To be successful you should have appropriate technical, organisational, communicative, and creative skills, and knowledge of agile, iterative and data-driven methodology for developing software solutions. In return, you will have the opportunity to enhance your research experience and develop your skills in reinforcement learning and deep learning.
About the Role
Youwill be working on an Edge Hill University funded Project entitled "DeepHEC: Deep Reinforcement Learning for Hand-Eye Coordination". The project will focus on developing algorithms solving the hand-eye coordination problem which is about controlling robotic arms by using visual feedback from cameras to carry out various pick and place tasks. You will support in designing and developing novel reinforcement learning algorithms with inputs from the involved Computer Vision, Machine Learning, and Robotics researchers within the Computer Science department.
You will benefit from 23 days annual leave plus 13 bank holiday and University closure days per annum, pro rata. We aim to provide our staff with a positive work life balance and have a range of schemes in place to support this. Your continued professional development is as important to us as it is to you and we demonstrate this through our investment in your CPD activity.
You will be automatically enrolled into the Local Government Pension Scheme and have access to our staff benefits platform, which provides you with discounts across the high street to help you save money on your everyday spending such as supermarket shopping, cinema tickets, dining out and more. We also offer discounted membership to our state-of-the-art sport and leisure facilities.
Edge Hill University is "A great success story… an institution that improves and impresses year after year" - Times Higher Education.
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.
The Times Higher 'University of the Year’ award celebrated our distinct role in "transforming lives" - reflecting a distinctive philosophy of creating opportunity from excellence.
Based on an award-winning campus in West Lancashire, Edge Hill University offers a stimulating and empowering environment for ambitious and high performing professionals.
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