Classic KTP Vacancy advertisement details

Reference: 3808/1

Location: Knaresborough, North Yorkshire, HG5 8LF
Salary: £26,243 - £39,609
Qualification required: Computer Science related subject
Closing Date: 17 January 2019
KTP Advert Ref: 3808/1
The KTP Associate will lead a Knowledge Transfer Partnership (KTP) project that is a collaboration between Durham University and NM Group, based in Knaresborough. The Knowledge Transfer Partnership (KTP) scheme helps businesses to innovate and grow through the aid of discipline specific academic expertise. It does this by linking them with an academic supervisory team and a researcher in a university to work on a specific project.

Working as part of an agile team based at NM Group in Knaresborough, the KTP Associate will be involved in a strategic project to reduce the costs and processing times associated with geospatial workflows through the creation of tools using machine learning to automate LiDAR classification and power line modelling. The successful candidate will have the opportunity to gain extensive knowledge of using deep neural networks for feature extraction from LiDAR point clouds and other geospatial data captured from airborne sensors.

NM Group is a world leader in providing actionable information to support management and optimisation of electricity networks. Operating on a global scope and with a reputation for excellence, we use remote sensing technology at the heart of our solutions. We are part of Trimble Inc. who are world leaders in geospatial hardware products and software products. Geospatial technologies are experiencing rapid growth in performance and capability for both hardware and software post processing techniques. Joining NM Group means joining a talented team working in an exciting field of great potential and scope for the application of computer vision techniques.

Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The successful candidate will be working with academics across the Department of Computer Science and the Department of Geography. The Department of Computer Science is ranked 6th for Computer Science, in the Complete University Guide 2019 (Durham University ranked 6th overall). The department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology. The Department of Geography is ranked 3rd in the Complete University Guide 2019, and has been in the top 10 for six consecutive years in the QS World University Rankings by Subject. The department has expertise in geospatial data handling and modelling across a range of geoscience applications.


Working as a KTP Associate provides a range of career development opportunities including:

• The opportunity to undertake a Higher Degree (if applicable)
• Attendance at two residential, one week, management training workshops
• £4000 individual training budget to spend on personal development opportunities such as further training or conferences

You will have a strong academic background in computer science, or Engineering specialising in Information Engineering and machine learning. You will need a good first degree in a related subject or equivalent experience and ideally have a PhD (or strong alternative postgraduate experience) in Computer Science or a related subject (or be about to submit a PhD).
Skills required: Essential at Grade 6

1. Qualifications
• A good first degree in a Computer Science related subject or equivalent in experience.

2. Experience
• Experience of conducting high quality academic research
• Experience in applied scientific programming and systems integration
• Demonstrable ability to write high quality conference and journal papers commensurate with publication in highly-ranked journals
• Experience of software delivery to external parties (industry/open-source/end-user)
• Experience with one or more deep learning development environments
• Demonstrated ability to present research at conferences and communicate complex information to specialists and within the wider academic community.
• Ability to collaborate with academic and industry colleagues on numerical methods in computer code.

3. Skills and Competencies
• Appropriate mathematical and computational skills to be able to undertake the research as laid out in the project description
• Intermediate to advanced C++/C or Python programming skills
• Demonstrable ability to work cooperatively as part of a team
• Experience in applied scientific programming and systems integration
• Ability to work independently on own initiative and to strict deadlines
• Self-motivation and ability to work autonomously and to schedule on agreed tasks
• Sound interpersonal and communication skills
• Good presentation and communication skills to a wide target audience


4. Attributes
• Excellent team-working skills
• Enthusiastic researcher


Essential at Grade 7 (in addition to the competencies and attributes above):

1. Qualifications:
• PhD (or strong alternative postgraduate experience) in Computer Science or a related subject (or be about to submit a PhD – to be awarded within 3 months of the appointment start date).
• Demonstrable experience of conducting high quality research independently, as well as collaboratively in a team.
• Proven track record of successful liaison with a research sponsor and attend system demonstration trials (trips) within the UK
• Excellent written and spoken English
• Excellent interpersonal and communication skill

2. Experience:
• Experience of academic collaboration with external parties of numerical methods in computer code

3. Skills and Competencies:
• Preparation of high quality conference and journal papers
• Excellent presentation and communication skills to a wide target audience
• Excellent team-working skills
• Proven ability to provide high quality input and recommendations to inform decisions of others (e.g. advise PhD and project students on research techniques).

Desirable at Grade 7 (in addition to the competencies and attributes above):

1. Qualifications
• PhD (or strong alternative postgraduate experience) in Computer Vision/Machine Learning or Image Processing

2. Experience
• Experience working in Linux development environment spanning desktop
systems, HPC and GPU
• Strong publication record in peer-reviewed journals, commensurate with stage of career.
• A track record of presenting research at conferences, symposia, or meetings, commensurate with stage of career.
• Demonstrable ability to develop research proposals and designs in collaboration with other academics.
• Experience of overseeing students with respect to the development of their practical/research skills e.g. acting as a demonstrator; supervising student projects/practicals.
• Experience in camera / sensor integration under Linux OS.
• Experience with one or more deep learning development environments.
• Experience of conducting independent research leading to research papers.

3. Skills and Competencies
• Demonstrable ability to plan and manage independent research.
• Demonstrated ability to present research at conferences.
Knowledge Base Partner: Durham, University of
Company partner: Network Mapping Limited
Company business area: Provide bespoke geospatial products using aerial and ground based high resolution laser remote sensing technology known as Light Detection And Ranging (LiDAR).
Contact: Prof. Toby Breckon, Durham University
Lower Mountjoy
South Road
Durham
DH1 3LE, Tel: 0191 33 42396
toby.breckon@durham.ac.uk
Additional Info: None

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