Imperial College London
Job Description
Job Title:
Research Associate
Department:
Department of Computing
Job Family/Level:
Academic and Research, Level B
Salary Range:
£32,750 - £40,440 per annum
Contract:
Full time, fixed term for 3 years
Location:
South Kensington Campus
Responsible to:
Dr Julie McCann
Key working relationships:
Supervisor, other academic staff and students
within the Department, academic staff and students
within the Department of Civil Engineering, external
collaborators.
Summary of Research Project:
The Research Associate will work in the Department of Computing, Adaptive Embedded
Sensing Engineering (AESE) group, led by Julie McCann, in partnership with Dr Ivan
Stoianov in Civil Engineering.
Cities need to be more responsive, efficient and sustainable with regard to water
resources. NEC, Japan and the Departments of Computing and Civil Engineering
welcome applications to their collaborative research programme in the Smart Water
Systems Lab. The research programme will focus on enhancing existing and developing
breakthrough technologies to optimally manage the UK’s aging water supply
infrastructure.
The Research Associate will be responsible for collaboratively developing the research
programme, analysing and evaluating new algorithms/protocols, publishing in top tier
conferences and journals, contributing to the supervision of the PhD student, and
collaborating with the Research Associates and PhD Students from the Department of
Civil Engineering who are co-researchers in this project
Key Responsibilities:
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Plan and carry out research in accordance with the project aims and timeframes, in
collaboration with internal and external project partners.
Collaboratively developing the research programme.
Analysing and evaluating new algorithms/protocols.
Contributing to the supervision of the PhD student, and collaborating with the
Research Associates and PhD Students from Department of Civil Engineering.
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Demonstrating the more practical outcomes of the work.
Maintaining accurate and complete records of all research, development and
findings.
Publishing in top tier conferences and journals, and presenting findings at research
meetings and conferences.
Collaborating with and providing assistance and guidance to students at all levels.
All research staff may be expected to undertake certain teaching duties without
additional payment, subject to any limitations prescribed by the terms of the grant or
contract under with they are employed.
To undertake any necessary training as required
Any other duties commensurate with the grade of the post as directed by the line
manager / supervisor
To observe and comply with all College policies and regulations, including the key
policies and procedures on Confidentiality, Conflict of Interest, Data Protection,
Equal Opportunities, Financial Regulations, Health and Safety, Imperial Expectations
(for new leaders, managers and supervisors), Information Technology, Private
Engagements and Register of Interests, and Smoking.
To undertake specific safety responsibilities relevant to individual roles, as set out on
the College Website Health and Safety Structure and Responsibilities page
(http://www3.imperial.ac.uk/safety/policies/organisationandarrangements).
Job descriptions cannot be exhaustive and the post-holder may be required to
undertake other duties, which are broadly in line with the above key
responsibilities.
Imperial College is committed to equality of opportunity and to eliminating
discrimination. All employees are expected to adhere to the principles set out in
its Equal Opportunities in Employment Policy, Promoting Race Equality Policy
and all other relevant guidance/practice frameworks.
Person Specification
Applicants for this post should demonstrate how their skills and experience meet the
following Person Specification:
Imperial Expectations
These are the 7 principles that all imperial staff are expected to follow:
1) Champion a positive approach to change and opportunity
2) Communicate regularly and effectively within, and across, teams
3) Consider the thoughts and expectations of others
4) Deliver positive outcomes
5) Encourage inclusive participation and eliminate discrimination
6) Support and develop staff to optimise talent
7) Work in a planned and managed way
Education and Qualifications:
A PhD (or equivalent experience) in one of the following areas:
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Data Mining, Machine Learning, preferably for embedded and sensor systems
Distributed Data fusion
Graph theory
Distributed Optimisation and/or Control
Experience and Knowledge:
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A strong Computing or Engineering background.
Proven knowledge and track record in at least two of the following areas:
o Data Mining, Machine Learning, preferably for embedded and sensor
systems
o Distributed Data fusion
o Graph theory
o Distributed Optimisation and/or Control
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Preference will be given to applicants with a proven research record and
publications in relevant areas.
It is advantageous to have an understanding of the water industries or similar
asset management experience.
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Skills and Abilities:
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Ability to apply appropriate data mining, statistical analysis, and machine learning
techniques to detect patterns and make predictions based on data obtained from
sensor readings.
High level of analytical capability.
High level of computing capability.
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High level of practical capability.
Ability to prioritise and organise work effectively to meet deadlines.
Excellent communication skills and the ability to communicate complex
information clearly and succinctly.
Ability to communicate with scientists and researchers from a variety of
disciplines.
Ability to manage own area effectively using compliance with health and safety
policy and College procedures.
Ability to encourage a research culture in others.
Excellent team working skills.
Ability to work on own initiative and able to organise and prioritise own work with
minimal supervision.
Personal Attributes
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Willingness to undertake any necessary training for the role
Willingness to travel to different locations for work as needed
An open, flexible and positive approach to working in a constantly changing
environment
Discipline and regard for confidentiality and security at all times