At a Glance
- Tasks: Lead research and teaching in optimisation for machine learning and AI.
- Company: Join the University of Southampton, ranked 7th in the UK for Statistics and Operational Research.
- Benefits: Competitive salary, research funding opportunities, and a collaborative academic environment.
- Other info: Be part of a dynamic team at the forefront of mathematical sciences and AI.
- Why this job: Make a real impact in AI and Data Science while advancing your academic career.
- Qualifications: PhD in a relevant field and a strong research publication record.
The predicted salary is between 45000 - 60000 £ per year.
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. The School of Mathematical Sciences brings together a unique range of disciplines across Mathematics and Statistics and is committed to tackling the world’s biggest challenges through interdisciplinary research.
Academics from Mathematical Sciences are also members of the wider centres of Centre for Operational Research, Management Science and Information Systems (CORMSIS), and Southampton Statistical Sciences Research Institute (S3RI). In the latest (2023) QS World University Rankings, Statistics and Operational Research at Southampton was ranked 7th in the UK and 39th in the world. We are also founding members of the Southampton Theory, Astrophysics, and Gravity (STAG) Research Centre as well as the Centre for Geometry, Topology, and Applications (CGTA). There is a significant overlap of research interests in all these activities.
The present appointment arises from a significant investment by the University of Southampton to support our ambitions to develop our interest in the interactions between Mathematical Sciences, AI, and Machine Learning. You will have a track record of excellent international-level research in Operational Research or an 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.
Key Requirements- A PhD or equivalent professional qualifications and experience in a relevant discipline
- Ability to obtain peer‑reviewed funding
- Evidence of distinction in research through high-quality publications
- Ability for undergraduate and postgraduate teaching
Potential applicants who wish to discuss this post are welcome to contact Professor Christine Currie (christine.currie@soton.ac.uk), Professor Joerg Fliege (J.Fliege@southampton.ac.uk), or the Head of School, Professor Jacek Brodzki (j.brodzki@soton.ac.uk).
Lecturer in Optimisation for Machine Learning and AI in Southampton employer: University of Southampton
The University of Southampton is an exceptional employer, offering a vibrant academic environment within the School of Mathematical Sciences, renowned for its interdisciplinary research and commitment to tackling global challenges. With a strong focus on employee growth, collaborative methodologies, and access to cutting-edge resources, faculty members are encouraged to thrive in their research and teaching careers while contributing to impactful projects in AI and Machine Learning. Located in a city celebrated for its rich history and cultural diversity, the university provides a supportive work culture that values innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Optimisation for Machine Learning and AI in Southampton
✨Tip Number 1
Network like a pro! Reach out to current lecturers or researchers in your field, especially those at the University of Southampton. A friendly chat can give you insights into the department and might even lead to a recommendation.
✨Tip Number 2
Show off your research! Prepare a presentation or a portfolio that highlights your best work in optimisation for machine learning and AI. This will not only showcase your expertise but also demonstrate your passion for the subject.
✨Tip Number 3
Practice your teaching skills! Since you'll be involved in undergraduate and postgraduate teaching, consider doing mock lectures or workshops. This will help you refine your delivery and engage your audience effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lecturer in Optimisation for Machine Learning and AI in Southampton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your application to highlight how your experience aligns with the role. We want to see how your expertise in optimisation for machine learning and AI fits into our vision at the School of Mathematical Sciences.
Showcase Your Research Impact:Don’t just list your publications; explain their significance! We’re keen on candidates who can demonstrate a track record of generating impact outside academia, so make sure to emphasise any research funding you've secured and its real-world applications.
Highlight Teaching Experience:Since teaching is a key part of this role, we’d love to hear about your experience in undergraduate and postgraduate teaching. Share specific examples of your teaching methods and how you engage students in complex topics like AI and optimisation.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at University of Southampton
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it relates to optimisation for machine learning and AI. Be prepared to explain your methodologies, findings, and their implications clearly and confidently.
✨Showcase Your Teaching Skills
Since teaching is a key part of the role, think about how you would engage students in complex topics. Prepare examples of your teaching philosophy and any innovative methods you've used in the classroom to make your sessions interactive and impactful.
✨Demonstrate Collaborative Spirit
Highlight any interdisciplinary projects you've been involved in. The University values collaboration, so share experiences where you've worked with other departments or institutions, particularly in AI and data science.
✨Prepare for Funding Discussions
Be ready to talk about your experience with obtaining research funding. Have specific examples of successful grants or proposals you've written, and be prepared to discuss how you plan to secure funding for future projects that align with the School's goals.
