Job Position: Software Developer Job in UAE (Visa Sponsorship Available) .
Company: University of Sussex .
Salary: Grade 6 starting at £33,882 to £37,999 per annum, pro rata if part time.
Location: Brighton, UK.
About the role
As part of our efforts to advance AI in wearable technologies, we are looking for a software developer to complement the team. The applicant will have strong joint engineering and scientific background, with a demonstrated expertise in applied AI and applied machine learning, a solid understanding of the challenges and approaches to managing terabyte-sized machine learning datasets, and an appreciation of the needs of the scientific community in relation to establishing recognised AI benchmarks.
The applicant will have expertise in a variety of technologies which will enable this, including strong coding skills (e.g. Python, Matlab, C, Tensorflow, Pytorch); solid expertise in the deployment and management of computing infrastructures (Linux; Docker, Kubernetes, Puppetteer; AWS, Git, etc), web-based systems (CMS; HTML, JavaScript), experience in the design of high-performance code (e.g. OpenCL, CUDA).
About you
The applicant will have strong organisational skills and will be able to work with a high degree of autonomy and self-motivation in a large, versatile, European research project, taking own initiatives, be creative, ambitious and contributing to enhancing the reputation of the University of Sussex in AI. The applicant will participate in EU project meetings (online or in EU countries if travel restrictions allow for this), and will be expected to initiate and lead activities related to large-scale AI datasets and AI/ML challenges.
About our Division/School
You will work directly with Prof. Daniel Roggen in the Wearable Technologies Lab, part of CROSS-TECH in the Department of Engineering. The Wearable Technologies Lab at the University of Sussex has a major research focus on computational behaviour analytics: the science advancing sensor technologies and AI to recognise and eventually understand human activities and behaviour, for a wide range of applications with high societal value. The Centre has established several large scale machine learning datasets (e.g. the SHL Locomotion/Transportation Dataset; the Opportunity dataset of activities of daily living; the Skoda dataset of manufacturing activities) and has organised several machine learning challenges over the years (e.g. the Opportunity Challenge in 2011 and the SHL Challenge in 2018, 2019, 2020, 2023 and 2024).
Why work here
Our university is situated off the A27, next to the beautiful South Downs where you will enjoy everything that our 150-acre campus has to offer. We are accessible by public transport; Falmer train station is a five-minute walk to campus and several bus stops are located within campus. We also have dedicated cycling paths and encourage our staff to use these with our offering of a cycle to work scheme.
Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it’s our people that make us great and we want you to be part of that.
How To Apply
If you believe you’re a great fit for the role, click “Apply Now”.
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