Job Title: KTP Research Associate – Geospatial Mobile Mapping Engineer
Theme: Advanced infrastructure scanning and monitoring
Salary: £27,000 per annum, depending on skills and experience. Plus significant personalized training and development package worth around £10,000.
Project: Knowledge Transfer Partnership (KTP):
School/Department: Nottingham Geospatial Institute, Faculty of Engineering of the University of Nottingham with 3D Laser Mapping Limited
Contract: 38 hours per week (full-time), this post will be offered on a fixed-term contract for a period of 33 months.
Location: Bingham, Nottinghamshire and Jubilee Campus, University of Nottingham
1. Job purpose:
The objective of the project is to design, develop and implement an advanced mobile scanning system to monitor railway, road and mining infrastructure conditions.
2. Duties and responsibilities:
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Gain thorough understanding of GNSS characteristics in poor visibility areas
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Develop detailed understanding of mobile LiDAR data from repeat surveys
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Undertake review of state of the art mobile GNSS processing techniques
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Design laboratory program to generate Experimental Data Archive
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Capture experimental data
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Develop and test preferred processing techniques of repeat surveys
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Design and develop automated GNSS processing and geospatial data integration solution
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Testing of new solutions with key 3DLM customers
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Evaluate the performance of the Alpha version with key customers and develop the Beta version
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Write reports and publish the R&D findings in journals and magazines
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Soft launch of new product
3. Special Conditions:
Whilst the position will be based at the company’s head office in Bingham, Nottinghamshire, the Associate must be prepared to travel within the UK to stakeholder and client partners. The Associate will also be expected to spend some time working at the University of Nottingham.
Knowledge, Skills, Qualifications & Experience:
Person Specification:
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Essential
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Desirable
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Education
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PhD or equivalent in Engineering Surveying, Space Geodesy, Geomatics, Transport Engineering, Mathematics, Computer Science or in relevant Engineering subjects (1)
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Experience
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Experience and understanding of positioning and navigation technologies, location and sensing techniques, sensor integration and advanced positioning algorithms, big data analysis.(1,2,3)
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Necessary programming skills in C++ or other platforms (1,2,3)
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Relevant industrial experience (including work placements or sponsorship) in an engineering environment (1,3)
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Relevant experience in GNSS and open source software platforms (1,2,3)
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Experience in publishing research in high quality journals and presenting in key international conferences (1,3)
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General Skills and Abilities
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Written and verbal communication is clear, well-structured and easy to understand (1,3)
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Adapts communication to suit the audience e.g. management, technical engineers, clients, industry professionals (1,3)
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Ability to build strong alliances with colleagues, stakeholders and clients and regulatory bodies, develop network of contacts and builds trust (1,3)
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Establishes credibility and work cooperatively with others: company staff and management, clients and industry professionals (1,3)
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Be accustomed to working in a team environment and see yourself as a member of a team (1,3)
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Approachable and receptive. (3)
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Organised and methodical with ability to manage own time and workload effectively (1,3)
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Exhibits drive and motivation and accepts responsibility for delivering project objectives (1,3)
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Have the ability to understand the main drivers for a commercially driven company (1,3)
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Plans and coordinates own work to meet objectives and development plans (1,3)
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Monitors the progress of work against project milestones and/or agreed standards of work (1,3)
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Able to analyse data and carefully present data for presentation (3)
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Numerate with excellent IT skills (1)
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Develops new approaches to improve or replace existing procedures or systems (3)
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Flexible approach to problem solving (1,3)
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Technical Skills and Knowledge
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Knowledge and experience in state of the art techniques covering a range of disciplines from GNSS, remote sensing, sensor integration and advanced algorithm development (1,3)
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Modelling skills in identifying the defects of large infrastructure (1,3)
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Ubiquitous positioning and navigation technologies, handle big data and crowd sourced information and effective implementation skill to change ideas into practice (1,3)
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Analytic and visualization skills in identifying any potential defects of large infrastructure (1,3)
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Training
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Demonstrable commitment to continuing professional development (1,3)
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Willingness to undertake appropriate further training and to adopt new procedures as and when required (1,3)
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Other
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Willingness to travel (3)
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Suitable arrangements for personal business travel (3)
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Commitment to observing Equality & Diversity policies at all times (1,3)
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Commitment to maintain confidentiality at all times (3)
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Ability to travel and access to own transport (3)
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Stages in Assessment (shown in brackets):
1 = Application form and CV,
2 = Work-based test / presentation and questions,
3 = Interview.
Applicants will be considered on an equal basis, subject to the relevant permission to work in the UK as defined by the requirements set out by the UK Border and Immigration Agency. Please visit http://www.ukba.homeoffice.gov.uk/ for more information.
Informal enquiries may be addressed to Dr Xiaolin Meng email: xiaolin.meng@nottingham.ac.uk Please note that applications sent directly to this email address will not be accepted. Knowledge Transfer Partnerships is a government funded technology transfer initiative that supports partnerships between business and universities, placing graduates on challenging, high profile projects. Further information is available at: http://ktp.innovateuk.org/
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