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Senior Lecturer/Reader (Teaching & Research) in Computer Science & Informatics

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Job Details

  • Full Time
  • £48,327 - £55,998 per annum (Grade 8) - Senior Lecturer / £57,674 - £59,400 per annum (Grade 8) - Reader
  • Cardiff University
  • Closes 26th August 2017
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Vacancy Number: 6362BR

Senior Lecturer/Reader (Teaching & Research) in Computer Science & Informatics
Cardiff School of Computer Science & Informatics, Cardiff University

Applications are invited for a Senior Lectureship or Reader (Teaching & Research) post jointly held in the School of Computer Science & Informatics and Data Innovation Research Institute (a Cardiff University Research Institute) at Cardiff University. This is a full-time, open-ended post starting on 1 October 2017 or as soon as possible thereafter. The successful candidate will be dedicated to finding creative solutions in areas of data science and have a genuine curiosity and enthusiasm to deliver high-quality teaching for undergraduate and postgraduate programmes. You will be able to demonstrate research interests in an area of Machine Learning relevant to the School and Data Innovation Research Institute. Applicants with interests in at least one of the following areas are encouraged:

* Scalable machine learning
* Artificial intelligence and machine learning
* Deep learning

Cardiff University has a large and successful School of Computer Science & Informatics which is well resourced and enjoys an international reputation for both its teaching and research activities. The School of Computer Science & Informatics is located in the Queen’s Buildings complex on Newport Road within the city centre of Cardiff. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. For more information on the School please visit our website: http://www.cardiff.ac.uk/computer-science

The Data Innovation Research Institute has been set up to conduct fundamental research into the aspects of managing, analysing and interpreting massive volumes of textual and numerical information. It is a cross-disciplinary Institute with projects covering a wide-ranging spectrum of disciplines including social, biological, life and engineering sciences. It hosts an Science and Technology Facilities Council-funded Centre for Doctoral Training in Data Intensive Science and contributes to the University’s portfolio of data-intensive MSc courses. website: http://www.cardiff.ac.uk/data-innovation-research-institute/

Cardiff University is committed to supporting all its employees in achieving the necessary balance between their work and their personal lives. As part of this commitment, the University has developed a flexible and responsive framework of support for staff in managing their work and personal commitments wherever possible. We particularly welcome applications from women who are under-represented within Cardiff University in this field.

For an informal discussion of the post please contact Prof. Stuart Allen on +44(0)29 20876070 or by email at AllenSM@cardiff.ac.uk

For an informal discussion about flexible working and work-life balance please contact Pamela Munn on by email at MunnPA@cardiff.ac.uk

This is a full-time and open-ended post.

The appointment will be made, dependent on relevant qualifications and experience, within the Grade 8 scale.

Salary: £48,327 - £55,998 per annum (Grade 8) - Senior Lecturer
£57,674 - £59,400 per annum (Grade 8) - Reader

Date post advertised: Wednesday, 26 July 2017

Closing date: Saturday, 26 August 2017

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.

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