At a Glance
- Tasks: Teach and research the mathematical foundations of AI and Machine Learning.
- Company: University of Southampton, a leader in interdisciplinary research.
- Benefits: Generous maternity policy, onsite childcare, and a commitment to work-life balance.
- Other info: Diverse workplace with strong support for under-represented groups in Mathematics.
- Why this job: Join a dynamic team tackling global challenges through innovative research.
- Qualifications: PhD in a relevant field and a passion for teaching and research.
The predicted salary is between 45000 - 60000 £ per year.
We are seeking an outstanding candidate for a Lecturer position in Mathematical foundations and applications of Machine Learning and Artificial Intelligence within the School of Mathematical Sciences at the University of Southampton. This position arises thanks to a significant new investment by the University to support our ambitions to further develop our strengths in this important area.
The position is intended for researchers in mathematical sciences or related quantitative disciplines with interests in the mathematical foundations of Artificial Intelligence & Data Science as well as novel interdisciplinary applications of these to other fields. This appointment provides an exciting opportunity for those interested in interdisciplinary research in the overlap of pure mathematics, mathematical modelling, and applications.
You will have a track record of excellent research in Mathematics or an aligned discipline with an emphasis on Foundations of AI and Machine learning, ideally with interests that span across to other areas of Mathematical Sciences. The School of Mathematical Sciences brings together a unique range of disciplines across Mathematics & Statistics and is committed to tackling the world’s biggest challenges through interdisciplinary research.
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). 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). The School is also a member of a new consortium “Mathematical Foundations of Intelligence: An ‘Erlangen Programme’ for AI” supported by a £10M grant from the EPSRC, and the successful candidate will have the opportunity to participate in this work.
The University of Southampton is part of the Alan Turing Institute for Data Science & Artificial Intelligence and has an ethos of promoting collaborative methodological research across disciplinary boundaries.
Strong applicants should demonstrate:
- A PhD or equivalent professional qualifications & experience in a relevant discipline;
- Ability to obtain peer-reviewed funding;
- Evidence of distinction in research through high-quality peer-reviewed publications;
- Ability for undergraduate & postgraduate teaching and supervision.
For an informal discussion regarding this position, please contact Ruben Sanchez Garcia or the Head of School, Jacek Brodzki.
The School of Mathematical Sciences offers a diverse and welcoming workplace at a world-leading University with a strong opportunity for engaging in multidisciplinary projects. We were very proud to have been awarded the Athena Swan Silver award, and we are committed to the Equality, Diversity, & Inclusion principles in all aspects of our work. We strongly encourage applications from women and other groups under-represented in Mathematics. We encourage applications from those who have taken career breaks for reasons including maternity, paternity or adoption leave, disability, or illness.
The University has a generous maternity policy and onsite childcare facilities and offers a range of benefits designed to help maintain and support employees' well-being and work-life balance. The University of Southampton is committed to sustainability and being a globally responsible university and has been awarded the Platinum EcoAward.
Discover how the University of Southampton is investing in its people and key impact themes of AI and Data Science, Sustainability and Resilience, Decarbonisation & Engineering Better Health and view all the exciting opportunities on offer by visiting our campaign site. Please upload a copy of your CV with your application.
Lecturer in Mathematical Foundations of AI and Machine Learning in Southampton employer: University of Southampton
The University of Southampton is an exceptional employer, offering a vibrant and inclusive work culture that fosters interdisciplinary collaboration in the fields of Mathematical Sciences, AI, and Machine Learning. With a strong commitment to employee well-being, generous benefits including maternity support and childcare facilities, and a focus on sustainability, the university provides ample opportunities for professional growth and engagement in groundbreaking research initiatives. Join us in tackling global challenges while being part of a diverse community dedicated to equality and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in Mathematical Foundations of AI and Machine Learning 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 role 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 mathematical foundations and AI. This will not only impress during interviews but also demonstrate your passion for the subject.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or colleagues. Focus on articulating your research impact and teaching philosophy, as these are key areas for the lecturer position.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the latest opportunities and updates about the University of Southampton there.
We think you need these skills to ace Lecturer in Mathematical Foundations of AI and Machine Learning in Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in mathematical foundations, AI, and machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects and publications!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about interdisciplinary research and how your expertise can contribute to our School of Mathematical Sciences. Keep it engaging and personal!
Showcase Your Teaching Experience:Since this role involves teaching, make sure to include any relevant teaching experience in your application. We love to see how you’ve engaged students and contributed to their learning journey in mathematics or related fields.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way for us to receive your materials and ensures you’re considered for this exciting opportunity at the University of Southampton.
How to prepare for a job interview at University of Southampton
✨Know Your Stuff
Make sure you brush up on the mathematical foundations of AI and machine learning. Be ready to discuss your research and how it aligns with the university's interdisciplinary focus. Familiarise yourself with recent advancements in the field and be prepared to share your insights.
✨Showcase Your Teaching Skills
Since this role involves teaching, think about how you can demonstrate your teaching philosophy and methods during the interview. Prepare examples of how you've engaged students in the past and be ready to discuss your approach to supervising both undergraduate and postgraduate students.
✨Connect with Their Vision
The University of Southampton is all about collaboration and tackling big challenges. Show that you understand their ethos by discussing how your work can contribute to their goals, especially in areas like sustainability and interdisciplinary research. This will help you stand out as a candidate who fits into their culture.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the department, ongoing projects, and opportunities for collaboration. This not only shows your interest but also helps you gauge if the environment is right for you. Don't hesitate to ask about their commitment to diversity and inclusion as well.
