|Salary:||£45,585 to £56,021 Grade 7 Lecturer, per annum|
|Placed On:||8th September 2023|
|Closes:||31st October 2023|
The University of Reading Department of Computer Science is expanding. The current phase of recruitment includes a new academic post, at the Lecturer Level. We are seeking a new staff member who can enhance both teaching and research, contributing to thriving cutting edge courses and excellent impactful research.
This opportunity is for an individual whose Computer Science research can contribute to growing data science and AI research fields including (but not limited) machine learning, data mining, big data analytics devoted to algorithms, techniques and applications for data-driven knowledge discovery from big data. Particular areas of growth in the Department of Computer Science are explainable and interpretable AI, (knowledge) graphs, deep learning, computer vision/image analysis, smart Internet of Things, Intelligent communication and natural language processing.
The Department of Computer Science is embedded in a world-renowned research nexus of excellence in environmental science alongside a world-class Meteorology Department, with strong links to national centres in atmospheric and earth observation science, the UK Met Office, and the European Centre for Medium Range Weather Forecasting, ECMWF. The new staff member will strengthen the ongoing collaboration with National Natural History Museum, RBG Kew, and digital enterprises in the region and participate in the Thame Valley AI-Hub.
For more details about the Department, our teaching portfolio and areas of research interest, research partners we work with and details about the wider School and University please refer to the Further Particulars document.
You will have:
Detailed description of the post, main duties and selection criteria are to be found at the bottom of the vacancy advert, by clicking the 'Apply' button, above.
Informal contact details
Contact role: Head of Department
Contact name: Prof Shuang-Hua Yang
Contact phone: +44 (0)118 378
Contact email: firstname.lastname@example.org
Alternative informal contact details
Contact role: Head of School
Contact name: Prof Andrew Charlton Perez
Contact phone: +44 (0)118 378 5794
Contact email: email@example.com
Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants should ensure that they are able to meet the points requirement under the PBS. There is further information about this on the UK Visas and Immigration Website.
The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and Champion the leading LGBT+ rights organisation.
Type / Role: