Research Associate - University of York, United Kingdom - University of York

University of York

Verified Company

University of York, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

You will be working under the guidance of Professor Richard Wilson in the area of Geometric Deep Learning. Geometric deep learning is the generalisation of ideas from deep neural networks to problems on graphs, networks and meshes. Examples include drug design, shape modelling, protein interactions and understanding social networks. The goal of the project is to develop new algorithms for deep learning with this kind of data.

Main purpose of the role:

To conduct research under the supervision of senior colleagues and to contribute to the production of research
To assist in the identification and development of potential areas of research and the development of proposals for independent or collaborative research projects

Key responsibilities:

(Role holders will be required to undertake some or all of the duties below)

To conduct individual and collaborative research projects, duties to include: analysis and interpretation of research data; use of appropriate research techniques and methods; writing up of research results and dissemination through publications, seminar and conference presentations and public engagement and outreach activities; contributing to the identification of possible new areas of research
To undertake appropriate organisational and administrative activities connected to the research project, including conference organisation, and the development of promotional or educational material including website maintenance and development
To develop and initiate collaborative working internally and externally, duties to include: the building of internal contacts and participation in internal networks; collaboration with colleagues on joint projects as required; participation in and identification of external networks in order to share information and identify potential opportunities for collaboration and possible sources of funding; attendance at and contribution to relevant meetings
To provide guidance to other staff and students, as required, as well as coordinating the work of small research teams
To assist with undergraduate teaching in own area of expertise.

Interview date:
To be confirmed

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