Location: | Sussex, Falmer |
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Salary: | £32,982 to £37,099 per annum, pro rata if part time |
Hours: | Part Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 1st July 2024 |
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Closes: | 19th July 2024 |
Job Ref: | 31376 |
Hours: Part time at 75%.
Requests for flexible working options will be considered (subject to business need).
Contract: fixed term for 3 months
Applications must be received by midnight of the closing date.
Expected Interview date: 26 July 2024
Expected start date: 1 August 2024 or soon thereafter
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).
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.
The applicant will produce high value scientific papers, as well as open source code related to the project.
The ideal candidates will have a Master in computer science or computer engineering and may be working towards a PhD.
You will work directly with Prof. Daniel Roggen, with a base in the Department of Engineering. In addition, the applicant will share his/her knowledge with other colleagues active in AI at the University of Sussex.
Employment will be subject to the right to work in the UK.
Background. The Sensor Technology Research Centre 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 and 2023).
Please contact Prof. Daniel Roggen (d.roggen@sussex.ac.uk) for informal enquiries.
The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.
For full details and how to apply pleaes click the 'Apply' button, above.
The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.
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