The Department of Mathematical Sciences (DMS)
The Department is a growing and vibrant department in the Faculty of Science and Health. DMS is internationally known for its research in a range of areas and offers an excellent education to its students.
The Department is looking to recruit a motivated and enthusiastic Deep Learning Research Officer to work with Dr Alexei Vernitski. This post will involve working on a Leverhulme Trust funded project called 'Machine learning for recognising tangled 3D objects' in collaboration with Dr Alexei Lisitsa in the Department of Computer Science at the University of Liverpool.
The successful candidate will work under the direct supervision of Dr Alexei Vernitski. Dr Vernitski and Dr Lisitsa have experience of detecting trivial knots using a range of algebraic constructions and automated reasoning. The aim of this research project is to apply deep neural networks and reinforcement learning in this research area. These technologies will be applied to detecting trivial knots (trivial braids, etc.) and to untangling trivial knots (trivial braids, etc.).
Appointment to this post will be made as Senior Research Officer.
Duties of the Role
The purpose of the role, will be to conduct research to meet the objectives of the Leverhulme Trust funded project called 'Machine learning for recognising tangled 3D objects'.
You will produce research outputs for publication at acceptable levels of volume and academic excellence, participate in public understanding of science and research dissemination activities related to this project, and you will engage in individual and/or collaborative research activity resulting in internationally excellent publications that is in keeping with Research Excellence Framework (REF) criteria. Most importantly, a requirement will be to design and implement all computer code needed for the project.
A full list of duties can be found within the attached jobpack.
Skills and Qualifications required
The successful candidate will hold a relevant doctoral level degree in Computer Science or appropriate discipline or equivalent professional experience or practice or be close to completion of PhD and will have evidence of a developing research agenda, engagement in high-quality research activity and a developing research profile.
Knowledge of deep neural networks and reinforcement learning, along with strong communications skills, both written and verbal are essential for this post. You will also have experience of contributing to small research programmes or defined areas of larger projects, and of developing research objectives and proposals.
At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.
To support this commitment we have our Global Forum, a staff-led network that promotes and celebrates the rich cultural diversity among Essex staff, and our Colchester campus based Faith Centre, which hosts regular services, meetings and events organised by our chaplains and faith representatives. For more information see: https://www.essex.ac.uk/life/student-facilities/religion-and-faith
Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 876559).
*More information: Working at the University