Software Developer Ref 21904
School/department: School of Engineering and Informatics/Department of Engineering and Design
Hours: part time at 75%. Requests for flexible working options will be considered (subject to business need).
Location: Brighton, United Kingdom
Contract: fixed term for 4 months
Reference: 21904
Salary: starting at £32,982 to £37,099 per annum, pro rata if part time
Placed on: 09 October 2023
Closing date: 23 October 2023. Applications must be received by midnight of the closing date.
Expected Interview date: 30 October 2023
Expected start date: November 2023 or soon thereafter
Job description
As part of the EU-funded research project HumanE AI Net, which brings together top European research centres in AI, the Sensor Technology Research Centre at the University of Sussex is looking for a software developer to lead the development of the technical infrastructure to establish benchmark datasets and run machine learning challenges in “human-centered AI”, with a focus on the multimodal perception and modelling of human behaviour from a variety of multimodal sensors.
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.
The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.
You can find out more about our values and our EDI Strategy, Inclusive Sussex, on our webpages.
Download job description and person specification Ref 21904 [PDF 208.71KB]
The University requires that work undertaken for the University is performed from the UK.
How to apply
Download our professional services application form and Personal Details and Equal Opportunities Form and fill in all sections.
You must email your completed application, and personal details and equal opportunities form, to jobapps@sussex.ac.uk
You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs or .pages) and use the format job reference number / job title / your name in the subject line.
You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.