Job description & person
specification
Last updated:
24 January 2014
JOB DESCRIPTION
Post title:
Research Fellow in Mathematical Data Analysis
Post number:
Academic Unit/Service:
Mathematics
Career pathway:
ERE
*ERE category:
Research focused
Posts responsible to:
Professor Jacek Brodzki
Level:
4
Posts responsible for:
Post base:
Office-based
Job purpose
To conduct research in coarse geometry and cohomology in the context of a study of large data
sets, supported by the EPSRC grant EP/I016945/1.
Key accountabilities/primary responsibilities
% Time
1.
In conjunction with the PI and CIs to develop scale-dependent coarse geometry
25
2.
In conjunction with the PI and CIs to study extensions of persistent cohomology
and coarse cohomology to adapt them to large data sets.
25
3.
In conjuntion with the PI and CIs to study metric properties of networks and
problems of embedding in a metric space of known geometry.
25
4.
To participate in the academic life of the Pure Mathematics group at Southampton 10
by participating in seminars, study groups etc.
5.
To disseminate, jointly with the PI and CIs, the results from the research through
publications in leading international research journals and presentations at
international conferences
10
6.
Any other duties as allocated by the line manager following consultation with the
post holder.
5
Internal and external relationships (including nature and purpose of relationships)



PI – collaborative research work and regular meetings to discuss progress
CI – collaborative research work
Members of the Pure Group and the School of Mathematics, SOCIAM group within ECS
PERSON SPECIFICATION
How to be
assessed
Criteria
Essential
Desirable
Qualifications,
knowledge &
experience
PhD (or equivalent) in Pure
Mathematics
Knowledge of an area of modern CV,
data analysis, interest in direct
references,
applications of pure mathematics interview
Research track record in a
sufficiently closely related field
(including, e.g., harmonic
analysis on discrete metric
spaces, or coarse geometry or
persistent cohomology
Experience in topological
methods for data analysis, e.g.,
persistent homology
Mathematical programming skills
and an interest in possible
applications of pure mathematics
to practical problems
Planning &
organising
Ability to conduct research both
independently and in
collaboration with peers
CV,
references,
interview
Ability to organise own research
activities to deadline and quality
standards
Problem solving
& initiative
Ability to develop understanding
of complex problems and apply
in depth knowledge to address
them
Management &
teamwork
Willingness to work in a research
team
Communicating
& influencing
Good communication skills, both
written and oral; ability to write
up research results for
publication in leading peerreviewed journals
CV,
references,
interview
Experience with collaborative
work
CV,
references,
interview
CV,
references,
interview
Other skills &
behaviours
Special
requirements
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JOB HAZARD ANALYSIS
OFFICE-BASED POST
If this post is an office-based job with routine office hazards (eg: use of VDU) no further information needs to
be supplied.
NON-OFFICE BASED POST
If this post has some hazards other than routine office (eg: more than use of VDU) please complete the
analysis below.
## - HR will send a full PEHQ to all applicants for this position.
ENVIRONMENTAL EXPOSURES
Occasionally
Frequently
Constantly
(<30% of time)
(30-60% of time)
(> 60% of time)
Outside work
Extremes of temperature (eg: fridge/ furnace)
## Potential for exposure to body fluids
## Noise (greater than 80 dba - 8 hrs twa)
## Exposure to hazardous substances (eg: solvents, liquids, dust, fumes,
biohazards). Specify below:

Frequent hand washing
Ionising radiation
EQUIPMENT/TOOLS/MACHINES USED
## Food handling
## Driving university vehicles(eg: car/van/LGV/PCV)
## Use of latex gloves (prohibited unless specific clinical necessity)
## Vibrating tools (eg: strimmers, hammer drill, lawnmowers)
PHYSICAL ABILITIES
Load manual handling
Repetitive crouching/kneeling/stooping
Repetitive pulling/pushing
Repetitive lifting
Standing for prolonged periods
Repetitive climbing (ie: steps, stools, ladders, stairs)
Fine motor grips (eg: pipetting)
Gross motor grips
Repetitive reaching below shoulder height
Repetitive reaching at shoulder height
Repetitive reaching above shoulder height
PSYCHOSOCIAL ISSUES
Face to face contact with public
Lone working
## Shift work/night work/on call duties
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