Research Associate
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Closing date
- Aug 27, 2018
View more
- Sector
- Science, Computer Science and IT, Computer Science, General Computing
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
Job Details
Cardiff University School of Computer Science & Informatics
http://www.cardiff.ac.uk/computer-science
SchockaertS1@cardiff.ac.uk
MunnPA@cardiff.ac.uk
Please be aware that Cardiff University reserves the right to close this vacancy early should sufficient applications be received.
Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds who have the ambition to create a University which seeks to fulfil our social, cultural and economic obligation to Cardiff, Wales, and the world. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements.
Job Description
Main function
To conduct research within the field of artificial intelligence and contribute to the overall research performance of the School and University, carrying out research leading to the publishing of work in high-quality journals or conferences. To pursue excellence in research and to inspire others to do the same.
Main Duties and Responsibilities
Research
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To conduct research within the field of artificial intelligence and contribute to the overall research performance of the School and University by the production of measurable outputs including bidding for funding, publishing in national academic journals and conferences, and the recruitment and supervision of postgraduate research students.
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To develop research objectives and proposals for own or joint research including research funding proposals.
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To undertake administrative tasks associated with the research project, including the planning and organisation of the project and the implementation of procedures required to ensure accurate and timely reporting.
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To review and synthesise existing research literature within the field.
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To participate in School research activities.
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To undergo personal and professional development that is appropriate to and which will enhance performance.
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Ensure that an understanding of the importance of confidentiality is applied when undertaking all duties.
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To design and deliver teaching programmes for courses and contribute to module development as part of a module team (no more than 5% time overall).
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To supervise the work of students including the supervision of Undergraduate and Master’s students and the co-supervision of Postgraduate Research students
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Abide by University policies on Health & Safety and Equality & Diversity.
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Perform other duties occasionally which are not included above, but which will be consistent with the role.
Essential Criteria
Qualifications and Education
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Postgraduate degree at PhD level, or near to completion of a PhD, in a related subject area or relevant industrial experience.
Knowledge, Skills and Experience
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An established expertise and proven portfolio of research and/or relevant industrial experience within the field of knowledge representation and reasoning.
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A strong background in logic.
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Excellent programming skills.
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Knowledge of current status of research in specialist field.
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Proven ability to publish in relevant journals (e.g. Artificial Intelligence, Journal of Artificial Intelligence Research) or top-tier conferences (e.g. International Joint Conference on Artificial Intelligence, International Conference on Principles of Knowledge Representation and Reasoning).
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Ability to understand and apply for competitive research funding.
Communication and Team Working
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Proven ability in effective and persuasive communication.
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Ability to supervise the work of others to focus team efforts and motivate individuals.
Other
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Proven ability to demonstrate creativity, innovation and team-working within work.
Desirable Criteria
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Experience with vector space models.
- Experience with statistical learning.
Company
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