For anyone who missed this the first time round -
note that the closing date is next week:
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Lecturer in Statistical Bioinformatics - Job ref 314009
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School of Mathematics
Closing Date: 27-01-2006
Further details:
The School has recently established a Centre of Statistical Bioinformatics
and has appointed Professor Wally Gilks as Director. We are now seeking a
lecturer to support this initiative.
You will be assigned to the Department of Statistics (the other Departments
within the School being Pure and Applied Mathematics) to play a full
role in the School, contributing to the research activity, undergraduate
and graduate teaching and administrative duties as directed. Teaching and
administrative duties will, in the first instance, mainly be in connection
with the MRes in Statistical Bioinformatics.
Along with a PhD (or equivalent) in Statistics, Mathematics or a closely
related field, you will have a promising track record of research in
statistics related to bioinformatics for example, methods for microarray
data analysis, statistical genetics, sequence analysis, gene transcription,
DNA alignment or molecular structure and interactions. The preferred
starting date is 1 April 2006, but there is some scope for flexibility.
Further details of the School's activities can be found at
http://www.maths.leeds.ac.uk
Lecturer A/B (£24,352-£36,959 p.a.) depending on experience.
The University is introducing a new reward framework which will facilitate
the recruitment, retention and motivation of world class staff. Under the
new structure the minimum Lecturer A salary point will be £27,194 p.a.
Informal enquiries to Professor Stan Wainer, Head of School,
tel 0113 343 5170, email [log in to unmask] or Professor
John Kent, Head of Statistics, tel 0113 343 5103, email
[log in to unmask]
Application packs are available via email [log in to unmask]
or tel 0113 343 5771.
Job Ref 314009 Closing date 27 January 2006
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About the School of Mathematics
The School of Mathematics at the University of Leeds, which comprises
the departments of Statistics, Pure Mathematics and Applied Mathematics,
is one of the largest and most active in the country. The School has
over eighty members of staff including about twenty-five professors. In
all three disciplines the School has a high reputation for research, with
a rating of 5 in the last Research Assessment Exercise.
Statistics
The Department is one of the top research centres in Statistics in the
UK. It maintains a strong profile across a wide range of areas in both
theoretical and applied Statistics and Probability. A distinctive feature
has been its internationally recognised expertise in shape analysis,
statistical image analysis, and related areas. The Department has recently
identified the potential for the development of statistical methodology in
bioinformatics and has created a Centre of Statistical Bioinformatics,
unique in the UK.
This Centre, in collaboration with existing research groups from around
the University, will provide a forum for problem-sharing, development of
new methods, and promoting the role of statistics in this exciting new
field. Additionally, the Centre will provide a postgraduate qualification
in Statistical Bioinformatics in collaboration with the School of Molecular
Biology and the Faculty of Medicine and Health.
The Department hosts an annual series of workshops, which has grown in
status in recent years with substantial international participation.
Statistics comprises 9 research-active members of staff, including 5
professors, 1 reader, 1 senior lecturer, and 3 lecturers. There are also
15 postgraduate students.
The Department's main research areas are in image and shape analysis,
bioinformatics, spatial-temporal modelling, directional statistics,
pattern recognition, machine learning, robustness, bioinformatics,
probability, and stochastic processes.
Applied Mathematics
The department of Applied Mathematics at Leeds is one of the largest and
most vigorous in the UK. It was awarded a grade 5 in the 1992, 1996, and
2002 Research Assessment Exercises. The Department currently has 25
academic staff (10 professors, 4 readers, 4 senior lecturers, 5 lecturers,
2 research fellows), 2 emeritus professors, 7 postdoctoral research
fellows, 3 visiting professors and 29 research students. In keeping
with the University Ã?Ã?s aim to become a world-class University, and
the School of Mathematics Ã?Ã? strategic plan, the Department of Applied
Mathematics has an ongoing commitment to the maintenance and development of
its internationally distinguished reputation.
The research interests of the Department are extremely broad, with research
groups in the following areas: Applied Dynamical Systems, Applied and
Numerical Analysis, Astrophysical Fluid Dynamics, Computational Mathematics
and Design, Integrable Systems, Mathematics applied to Biology and
Medicine, Polymer Physics and Non-Newtonian Fluid Dynamics.
There is a very lively research atmosphere with considerable collaboration
between the different research areas. The Department has a busy seminar
programme and often also holds one- or two-day meetings on specialist
topics. One of its great strengths is the extent and quality of its
inter-disciplinary work. Applied Mathematics has strong research links
with several other Schools in the University, with a number of industries,
and also with local hospitals.
Pure Mathematics
The Department of Pure Mathematics is one of the largest and most active
centres for pure mathematics research in the UK. It has 20 full-time
academic staff (10 professors, 4 senior lecturers, 5 lecturers, 1
University
research fellow), plus 2 part-time professors, as well as 6 postdoctoral
research fellows and research assistants and 4 honorary visiting fellows.
There are currently 31 postgraduate research students. The Department was
rated 5 in the 1996 and 2001 UK Research Assessment Exercises. Pure
Mathematics has research groups of international standing in four of the
most vital areas of mathematics: algebra, differential geometry, analysis,
and mathematical logic. There is extensive interaction between these
research groups, and with both Applied Mathematics and Statistics.
The four research groups each run their own weekly seminar (or else run
regular all-day events); in addition there is a less specialized
Colloquium,
which meets once or twice a term, and a weekly seminar at which Pure
Mathematics research students give seminars to each other. There is also a
graduate lecture course each year in each of algebra, differential
geometry,
analysis, and mathematical logic.
Purpose of Post
The School seeks to appoint a Lecturer in Statistical Bioinformatics to
join the Centre of Statistical Bioinformatics (directed by Professor Wally
Gilks), and other members of the Statistics department working in this area
(Professor Kanti Mardia, Professor John Kent, Professor Charles Taylor,
and Dr. Stuart Barber).
Job description
You will carry out research, teaching and administration within the School,
under the direction of the Director of the Centre of Statistical
Bioinformatics and the Head of Statistics acting on behalf of the Head of
School and its Management Group.
You will be expected to carry out research of the highest quality. You will
also be expected, where appropriate, to take part in the supervision of
postgraduate students and to seek external research funding.
You will be expected to play a full role in the teaching of undergraduate
and graduate courses offered by the School. This includes teaching by means
of lectures, examples classes, tutorials and project supervision, and
assessment by means of examinations and course work. You are also expected
to take an active role in curriculum design and development.
The School of Mathematics and the three departments within are supported by
a number of administrative and clerical staff. However, those
administrative duties that require academic judgement are carried out
by academic staff, and lecturers are therefore required to undertake
some such tasks.
Person Specification
You will have a Ph.D. (or equivalent) in statistics, mathematics, or
closely related field, and a promising track record of research in
statistics related to bioinformatics (for example in microarray data
analysis, statistical genetics, sequence analysis, or prediction of
molecular structure or interaction), showing the potential for establishing
an outstanding international reputation.
You must have the ability and commitment to teach well at all levels in
the School of Mathematics and to maintain excellence in your research.
Preference may be given to candidates whose work is compatible with the
interests of existing members of the Centre for Statistical Bioinformatics.
How to apply:
Applications should include the following:-
· A completed application form
· Equal Opportunities Monitoring Form . Please return the Form in a
separate envelope marked 'EOs Monitoring'.
Replies will be treated in complete confidence.
Completed applications should be returned to Barbara Watts, School of
Mathematics, University of Leeds, LS2 9JT, email [log in to unmask]
quoting job ref 314009 not later than 27 January 2006
If you are selected for interview you can expect to hear from the
University not later than 4 weeks after the closing date. If you are not
selected for interview the University will not contact you again.
A Criminal Records Disclosure is not required for this position.
Disabled Applicants
The post is located in the School of Mathematics. Disabled applicants
wishing to review access to the building are invited to contact the
department direct. Additional information may be sought from the Team
Co-ordinator in Disability Services, email [log in to unmask] or tel
0113 343 3927
Disabled applicants are not obliged to inform employers of their disability
but will still be covered by the Disability Discrimination Act once their
disability becomes known.
Data Protection
The information you provide in your application will be used to consider
your suitability for the post for which you have applied. If your
application is not successful the information will be disposed of
confidentially within 8 months. If your application is successful and you
are appointed, your information and future data will be processed in
accordance with the University's Data Protection Code of Practice. A copy
of this code can be obtained from either the University's Human Resources
Department or by visiting http://www.leeds.ac.uk/hr/policy/index.htm
Health and Safety Responsibilities
You are required to adhere and comply to the provisions of the Health and
Safety at Work Act, related Regulations and in accordance to the
University's Policy on Health and Safety which can be accessed via
http://www.leeds.ac.uk/safety/usp/uspindex.htm
In addition you are also required to cooperate with regard to the
implementation of Health and Safety arrangements and should not interfere
with or misuse anything provided in the interest of Health, Safety and
Welfare at Work.
For more information on the University and terms and conditions of
appointments please visit http://www.leeds.ac.uk
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