Role Overview & Specifications

📋 Key Position Details
LocationLeeds - Main Campus
Faculty/ServiceFaculty of Engineering & Physical Sciences
School/InstituteSchool of Computing
CategoryResearch
GradeGrade 7
Salary£35,333 to £42,155 p.a.
Working Time37.5 hours per week
Post TypeFull Time
Contract TypeFixed Term (12 months (specialist skills))
Release DateMonday 06 March 2023
Closing DateWednesday 05 April 2023
Interview DateTo be confirmed
ReferenceEPSCP1122

Research Software Engineer

Are you an experienced software developer or researcher looking for your next challenge? Do you have a background in full-stack development? Do you want to further your career in one of the UK’s research-intensive Universities? Do you want to contribute towards NetZero Smart farming?

The Global Food and Environment Institute (GFEI) is an interdisciplinary research community, which brings together members from across academia, industry and public policy. We envisage a radically different global food system which works with nature and provides everybody with access to safe and nutritious food. Our aim is to develop enduring solutions that help bring about transformative change to create a food system that is socially just, climate-smart and goes beyond sustainability; able to adapt vigorously to enhance the future habitability of our planet.

Our smart-farm facility aims to develop a fully instrumented and connected farm where we can develop agro-environmental models based on real-time heterogeneous data feeds. We have deployed a multitude of sensors both mobile and static to monitor various environmental parameters. A skilled and highly motivated Research Software Engineer is required to join the Distributed Systems and Services (DSS) Group at the School of Computing, University of Leeds. The position is a fixed term for 12 months in the first instance, with the possibility of a further extension.

We need professional software development, which is robust, well tested and maintained with proper documentation, and well managed. You will collaborate with an internationally leading team of researchers in distributed computing systems, Internet of Things, Edge computing, and deep learning, working on cutting edge technologies such as streaming data management and diverse data integration.

Your chief responsibility will be to design, develop, and implement a state-of-the-art big data and stream processing platform for data-centric research, serving as the digital infrastructure for University’s Farm Observatory Instrumentation research and applications. You will also be involved in maintaining the existing distributed container-based testbed, empowered by Kubernetes in the DSS group, and assisting in designing our research software infrastructure.

We are open to discussing flexible working arrangements.


To explore the post further or for any queries you may have, please contact:

Professor Jie Xu, School of Computing

Email: J.Xu@leeds.ac.uk

OR

Dr Syed Ali Raza Zaidi, School of Electronic and Electrical Engineering

Email: S.A.Zaidi@leeds.ac.uk

























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