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Research Software Engineer

University of Surrey - Vision, Speech & Signal Processing

Location: Guildford
Salary: £44,263 to £45,585 per annum depending on experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th February 2024
Closes: 15th March 2024
Job Ref: 068923-R

Fixed Term Contract until 30/09/2025

Interview Date: Friday 15 March 2024

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

You will have the opportunity to conduct research and development within the context of an EU-funded project, comprising of a consortium of research and industry organisations. The project aims to create a secure decentralised data marketplace based on distributed ledger technology and AI.

The role will focus on solving problems related to the barriers to information and data exchange, particularly around the challenges of keeping datasets and information about them closer to the data provider at the edge. The challenges are considered within the context of IoT data value chains, addressing data quality and semantic enrichment using AI technologies.

At CVSSP, we are focused on the area of IoT data analysis and management, improving data quality through data and machine learning processing pipelines, building knowledge graphs, search and discovery mechanisms, and addressing problems such as the scalability of data and metadata at the edge which are normally more resource constrained. Therefore, we are looking for an enthusiastic developer to join our team and help formulate and create tools and systems to facilitate this, which will be initially validated against a set of real-world IoT use cases.

About you

A talent for technical problem solving is a must. You will encounter a wide range of technologies and data and will be given many opportunities to develop further your skills.

You will be responsible in contributing to iterative deliverables for the project such as technical reports, software integrations and source code releases. You will also be expected to travel abroad for project meetings and dissemination events. This is a collaborative project and will require you to actively liaise with other organisations.

Essential

  • An MSc in Computer Science or Engineering, or other closely related area.
  • Experience with programming in Python, Java, or JavaScript in the context of data management and analysis for web-based solutions.
  • Experience in Data engineering, analysis and management workflows for times-series (tabular, structured) data.
  • Experience in developing workflows for metadata management, which can involve schema modelling, formatting, annotation, enrichment, search & discovery.
  • Experience in Machine Learning model development/optimisation and workflows for time-series (tabular, structured) data.
  • Experience with tools for source code management, automation pipelines for software development and machine learning processes, and deployment.
  • Experience with virtualisation tools such as Docker and Kubernetes.
  • Experience in technical and report writing for software-based projects.
  • Strong critical thinking skills and ability to develop innovative solutions.
  • Ability to communicate effectively and work efficiently within a research & development team.
  • Ability to take initiative, learn how to use the necessary tools for the research, and work independently, and collaboratively for integration tasks.

Desirable

  • An PhD in Computer Science or Engineering.
  • Contributions to peer-reviewed publications, or other similar output.
  • Experience with developing tools for linked or graph-based data.

How to apply

For more information or to be considered for the role, please click the 'Apply' button above.

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