1 December: fyi -- phd funding, UK
Index of December 2008 | Index of year: 2008 | Full index
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Lancaster University Management School
Department of Management Science & Centre for Forecasting
Research Assistant & Part-time PhD
£24,588-£28,839 pro rata
Forecasting & Data Mining with Neural Networks
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Applications are invited for a four-year part-time PhD student &
Research Assistant position, funded by the Research Centre for
Forecasting, Department of Management Science, Lancaster University
Management School, to commence January 2008.
Applicants will be expected to work 3 days per week for the Lanacster
Centre for Forecasting under the supervision of Dr. Sven F. Crone, and
will be paid pro rata. Applicants will have the opportunity to pursue
a part-time PhD (duration 4 years) in the remaining time. PhD tuition
fees (equivalent of up to £9,200 for overseas students) will be
covered in addition to the salary for four years. A formal review
after year one will determine continuation of the PhD and access to
the remaining 3 years of the position. Successful candidates will work
with colleagues, external clients, and students whilst developing
their research agenda, and will undertake all aspects of academic
research, applied research projects, teaching, supervision and
administration in forecasting and data mining.
We seek applicants that should have the potential to develop academic
and applied research of international standard within our
team. Candidates should have an excellent first degree and be
completing a Master’s degree or equivalent in management, engineering
or computer science, or even hold a first Ph.D. in a related subject
area. Corporate experience is also valued. Candidates should have
excellent verbal/written communication skills, a strong quantitative
background, basic computer programming experience (in C#, mathlab
etc.) and some initial expertise in the areas of forecasting and /or
data mining with neural networks, preferably in the context of
management science, operational research or operations management.
Please initially apply for the Research Associate position by either
applying online at
http://www.personnel.lancs.ac.uk/vacancydets.aspx?jobid=A121 or
alternatively telephone Human Resources, quoting reference A121 on
01524 846549 (answerphone) to request an application pack. Application
deadline is the 3rd of December 2008!
Candidates selected to go through to the next stage of recruitment
will be asked to provide a complete research proposal for a possible
study in the area or forecasting or data mining with computational
intelligence according to the guidelines provided online which can be
found at : www.lums.lancs.ac.uk/departments/ManSci/Research/
Enquiries on administrative aspects of the application process should
be directed to Gay Bentinck at g.bentinck@lancaster.ac.uk. Enquiries
on the research topics should be directed to Dr. Sven F. Crone, Deputy
Director, Lancaster Centre for Forecasting, Tel. +44 (0) 1524 592991
or mobile +49 (0) 171 4910100 - Email: s.crone@lancaster.ac.uk
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About the Forecasting Centre & the Management School:
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Lancaster University Management School (LUMS, www.lums.lancs.ac.uk) is
a world-ranked international management school, consistently ranked
among the UK's top four. LUMS has been ranked equal 1st in the UK for
research for nearly two decades, and 1st for student satisfaction in
most years. The Financial Times January 2008 ranking of the world's
top 100 global schools ranks LUMS' PhD and doctoral programmes 5th in
the world, and 2nd in the UK, with over 100 full-time PhD students and
many part-time ones currently enrolled (see www.lums.lancs.ac.uk/phd).
The Lancaster Centre for Forecasting (LCF,
www.lums.lancs.ac.uk/research/centres/Forecasting) is the pre-eminent
focus of forecasting research in Europe. Our objective is to develop
applied research with companies, to facilitate knowledge-transfer
between academia and business and to establish and disseminate best
practices in methods, processes and systems. Founded as a
cross-departmental research centre in 1990, our 18 years of success in
developing high-profile applied research with companies have led to
hundreds of corporate projects. LCF currently consist of 6 senior
academics and 10 PhD students in various areas of forecasting.
We have particular strengths in forecasting with methods of
computational intelligence such as neural networks and support vector
machines, and in application areas of business forecasting for
managerial decision making (e.g. for inventory planning in supply
chains, call centres etc.). We do not engage in research into
financial forecasting. We actively recruit top graduate and PhD
students to support our projects and disseminate non-confidential
findings in leading international journals and at the most reputable
international conferences.
----- End forwarded message -----
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