Senior Research Associate - Portsmouth, United Kingdom - University of Portsmouth

Tom O´Connor

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Tom O´Connor

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Description

Senior Research Associate


Experience the pride of being part of a select group - one of only four universities in the south-east of England to achieve a prestigious Gold rating in the Teaching Excellence Framework.

Additionally, we proudly rank among the top 140 universities globally in the Times Higher Young University World Rankings.

Ambition, Responsibility and Openness drive our every endeavour. Join our esteemed institution with a proven track record of success, and where dedication to excellence is key. We want people to make their mark in a professional community that truly values people, innovation, and achievement.


THE ROLE:


Senior Research Associate:
Multi-Criteria Surveillance AI-based Scheduling Analytics for Undersea Infrastructure Safety

Full time/Fixed Term Contract: 01/10/ /07/2024

Hours: 1.0FTE


Salary:
Grade 6

Closing date: 05/09/2023

Applications are invited for the position of a senior research associate on the "Multi-Criteria Surveillance AI-based Scheduling Analytics for Undersea Infrastructure Safety" project at the

University of Portsmouth. This is a project funded by Themes Research and Innovation (TRIF) at the University of Portsmouth. This project will investigate research methods and algorithms for

protection of critical undersea infrastructure from a logístical perspective.

The problem addresses the vulnerability of electricity, internet, oil and gas undersea cables to interferences, attacks, and environmental factors. There is a need for an integrated randomised surveillance strategy that combines information obtained from UAVs, UUVs, surface vessels, satellites, and

sensors.

The problem is at least bi-objective in nature as there is a trade-off between resource cost and incident detection probability.

This work aims at developing a prototype surveillance

scheduling algorithm with machine learning.

The case study will include one or two of the electricity interconnector, internet or gas and oil pipelines, that run between the UK and Norway.

The senior research associate will join a team of academics from across the University of Portsmouth based in the School of Mathematics and Physics, and the Business School, and

international academic and industrial partners based in Norway.


The post holder will be responsible to assist in the preparation of all aspects of the project, that are the responsibility of the University of Portsmouth including: survey of relevant literature, collection and analysis of data, formulation of the optimisation model, development of prototype algorithm, preparation of deliverable reports.

The post holder needs to liaise with our collaborators and organisations, attend seminars and events, and assist in holding a workshop with our academic and industry

collaborators and policy makers for project outcome disseminations.


We are looking for a highly motivated individual with a MSc/PhD degree in Operational Research, Mathematics, Computer Science, or other relevant quantitative disciplines, with experience of programming.

The applicant should show motivation for independent work, and the ability to work with academics, practitioners, and other stakeholders. Applicants should also


be able to perform effectively under pressure and time constraints, possess good organisational and time management skills, pay close attention to detail, and have excellent interpersonal skills.


DISCOVER THE ADVANTAGES OF JOINING OUR UNIVERSITY.

WE OFFER A RANGE OF ATTRACTIVE BENEFITS AND OPPORTUNITIES TO ENHANCE YOUR WORK EXPERIENCE
:


  • Competitive salary, including incremental progression within your scale.
  • Contributory defined benefits pension schemes
  • Local Government Pension Scheme (LGPS) for support and research staff and Teachers Pensions for our academic staff.
  • Generous leave entitlement of 3235 days a year, plus bank holidays, and an additional Christmas closure.
  • Familyfriendly policies supporting flexible working.
  • Staff discounts and loyalty schemes.
  • Staff car parking and discounted public travel.
  • Excellent training and development opportunities.
  • Staff wellbeing programmes.
  • Long service awards and recognition awards, which are awarded to staff for exceptional performance.
  • Recreation facilities, including discounted gym membership, food on campus schemes, use of the Library and staff social activities.
  • Discounted learning.
  • Startup business mentoring from expert entrepreneurs via our Entrepreneurs in Residence programme.
  • The perks don't stop there click this link for further information on My Reward and Benefits

UKVI STATEMENT

ED&I STATEMENT:


Salary
Grade 6 - £33,966 - £38,205


Contractual hours
37


Basis
Full-Time


Job category/type
Fixed Term - Full-Time


Date posted
01/08/2023


Job reference

REC

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