| Further Particulars for
Lectureship in machine learning at the Institute of Informatics
INTRODUCTION
The British University in Dubai (BUiD) is the result of an exciting vision shared by UAE leaders, UAE industry, UAE education and British interests in the region including the British Council. It is a research-led University in Dubai that draws on top-ranking British teaching and research to create a beacon for knowledge-led innovation in the Gulf region.
Objectives
A distinctive and innovative University, the British University in Dubai includes among its objectives:
• To offer the highest international competitive level of research-informed education in key modern disciplines
• To develop leading edge research capabilities in key disciplines
• To interact with regional industry/education and play a role in stimulating a knowledge-based economy in the region
Pathway
The pursuit of these objectives has been accelerated through close connections with the highest rated UK Departments within selected leading universities in the UK. These are departments graded 5 and 5* in the recent Research Assessment Exercise, verifying their achievement of international excellence. BUiD is a research-led British University in the Gulf region.
Even as it utilises connections with UK higher education, BUiD will develop in alignment with strategic planning for the Gulf region, in particular the Dubai 2010 strategic plan and Dubai’s ongoing review of educational provision.
The Institute of Informatics
The Institute of Informatics stands for developing high quality research in areas that are vital for developing the knowledge economy in this region namely: language, health, and business. Areas of expertise within the Institute are speech and language engineering, machine learning (including data mining), knowledge engineering, and multi-agent systems.
Relationship with the University of Edinburgh
Programmes, which are delivered in Dubai, are based on current provision at the University of Edinburgh, in the 5* School of Informatics, which is highly respected internationally. All current staff of the Institute of Informatics have been awarded Honorary Fellowships by the School of Informatics at the University of Edinburgh.
Programmes
The Masters in Information Technology (MSc-IT) has two streams or specializations: Speech and Language Engineering (SLE) and Knowledge and Data Management (KDM). The curriculum content is based on existing provision at the University of Edinburgh, and is composed of the following modules:
Introduction to Artificial Intelligence (core)
Web Design Project (core)
Knowledge Representation
Learning from Data
Applied Databases
Data Mining and Exploration
Speech Processing (SLE)
Introduction to Computational Linguistics (SLE)
Knowledge Engineering (KDM)
Knowledge Management (KDM)
The streams are developed further through coursework and the dissertation. Programme content, structure, assessment and quality assurance is based on and to all intents and purposes is the same as that of Edinburgh.
Appointment
The Institute of Informatics wants to hire a lecturer in machine learning (or similar area) to boost its research and teaching in that area.
Essential Criteria
• A PhD in machine learning or similar area.
• Good knowledge of machine learning, data mining, speech processing, autonomous adaptive systems, or similar area.
• Being able to deliver and tutor mathematical content in a way that enhances the learning experience.
• At least 3 years experience in teaching at an undergraduate or postgraduate level (either as a lecturer or a teaching assistant).
• Good publication track record.
• Good group and team skills and communications skills.
• The ability and willingness to be a proactive team member.
• Being willing and able to work with industry.
Desirable Criteria
• Being able to teach applied databases e.g. Oracle or similar.
• Having supervised and graduated Masters students.
• Having supervised and graduated PhD students.
• Knowledge and experience of Dubai, the UAE and Middle East.
• Knowledge of the British educational system.
Qualifications
Successful candidates will have a PhD in machine learning or related area, with a strong and growing publications record evidencing excellent potential for further research. Teaching experience in higher education is essential. Ability to teach transferable skills as well as subject area would be a plus.
Application Process
Applicants should send:
• A completed Application Cover Sheet (attached)
• A completed Academic Staff Application form (attached)
• Equal Opportunities form (attached)
• A CV
• A letter of application
• A statement of research interests
• The names and contact details of three referees
to: [email protected] to arrive by 15 October 2005.
For informal inquiries telephone Dr Habib Talhami 04 367 1962 or email him at [email protected]
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