Lecturer in Optimisation for Machine Learning and AI
Location: Southampton University, Highfield Campus
Salary: £44,263 to £56,021 per annum
Full Time Permanent
Closing Date: Monday 03 June 2024
Interview Date: To be confirmed
Reference: 2685024PJ
We are seeking an outstanding candidate for a Lectureship in broadly interpreted Optimisation for Machine Learning and AI within the School of Mathematical Sciences at the University of Southampton.
You will have a track record of excellent international-level research in Operational Research or aligned mathematical discipline with a particular focus on optimisation for machine learning and AI. Your expertise should enhance and complement our existing strengths in Operational Research, particularly where it crosses over to the applied mathematical modelling, pure mathematics, or statistics. You should have a proven track record of generating impact outside academia and obtaining research funding, enhancing the school's national and international research profile. The successful candidate will play a pivotal role in contributing to the School’s initiative of expansion in AI and Data Science.
The UoS is part of the Alan Turing Institute for Data Science & Artificial Intelligence and has an ethos of promoting collaborative methodological research across disciplinary boundaries. This is exemplified by Mathematical Sciences, which brings together broad groups of mathematicians who collaborate widely across the University and beyond. Mathematical Sciences has a varied set of external partners, including government agencies and departments, as well as collaborators in finance, digital economy, defence, energy, aerospace, retail, and transport and logistics.
Strong applicants should demonstrate:
Potential applicants who wish to discuss this post are welcome to contact Professor Christine Currie ([email protected]), Professor Joerg Fliege ([email protected]), or the Head of School, Professor Jacek Brodzki ([email protected]).
Please see https://jobs.soton.ac.uk/Vacancy.aspx?ref=2685024PJ for further details.
Apply by midnight on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or [email protected] quoting the job number.